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CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

The Strategic Delivery Lead is the senior operator accountable for turning a pod’s ambition into reliably delivered, high-quality work. This role is hybrid ( _3 days/week in office)_ in San Francisco,CA or New York City, NY. You will own the performance of a portfolio spanning samples, off-the-shelf datasets, proprietary data products, and bespoke engagements, connecting GTM, Research, Delivery, Product, Engineering, and Expert AI Supply to ensure the right work is prioritized, staffed, and executed. This is a highly cross-functional role: you will lead through influence cross functionally and directly manage a team of strategic project leads (SPLs), bring clarity to complex tradeoffs, and personally intervene when quality, delivery, or customer outcomes are at risk.

You will be the pod’s owner for margin performance and operating economics, with a clear view of cost-to-deliver, gross margin, capacity, and the operational choices that drive them. While you will not set pricing, your cost, scope, and delivery inputs will directly inform pricing and commercial decisions. In partnership with Product, Research and Forward Deployed Engineering, you will translate the domain’s strategy and priority bets into an executable roadmap, mobilizing the teams required to bring it to life and building the systems, rhythms, and playbooks that make the model stronger with every launch.

What You’ll Do

• Own your pod’s margin performance and operating economics. Be accountable for understanding and improving the cost-to-deliver, gross margin, and financial health of the pod’s work. Track data orders and recognized revenue, challenge staffing and production decisions that erode margin, and provide the cost and delivery inputs that inform pricing decisions. Represent the pod’s commercial and operational performance in the weekly business review.
• Bring the pod’s four-quarter roadmap to life. Partner with Product and Research to execute against the strategy and priority bets they have defined for the domain, translating them into an actionable delivery roadmap, mobilizing the right cross-functional teams, and ensuring launches and projects are delivered with the required quality, speed, and economics.
• Manage and grow a team of Strategic Project Leads (SPLs) to ensure projects are delivered on time, and you establish a culture of high performance.
• Serve as the connective tissue between GTM and Delivery. Maintain a clear view of the commercial pipeline, ensure pre-sales teams have the support they need, PMM has what it needs, and be able to speak confidently to delivery plans, capacity, risks, and tradeoffs across your portfolio.
• Own the performance of the full project portfolio. Ensure every project, across samples, OTS datasets, proprietary data products, and bespoke engagements, is delivered on time, to the highest quality, and against its expected financial return.
• Mobilize the right people at the right time. Bring together Research, Engineering, subject-matter experts, Delivery, and Expert AI Supply, negotiating for capacity and driving alignment across teams that do not report directly to you.
• Build and optimize the pod’s workforce plan. Partner closely with the heads of Delivery and Expert AI Supply to ensure projects are staffed with the right expertise, talent is deployed effectively, and capacity is planned strategically against current and future demand.
• Obsess over quality, personally. Get into the data, understand where quality is breaking down, and force the right conversations and actions when something is wrong, regardless of whether you are the person who can directly fix it.
• Actively manage and improve margin. Challenge staffing models, production pipelines, and other cost drivers when work is more expensive than it needs to be, and deliver measurable improvements to the domain’s margin profile.
• Turn recurring failures into systemic fixes. When the same problem appears repeatedly, address it in the operating model, tooling, or process rather than continuing to solve it one project at a time.
• Build the pod playbook. As one of the first leaders operating this model, establish the rhythms, processes, roles, and best practices that will make the model repeatable for future pods.
• Share learnings across the broader organization. Ensure insights, proven practices, and recurring challenges are systematically shared across pods so that each team benefits from what others have learned.

What You’ll Bring

• Ownership of a P&L or a business unit - you have carried a number, made pricing and cost trade-offs, and lived with the result. Consulting-style project leadership without commercial ownership is not the same thing.
• Real depth in a technical domain - software engineering, computer use and agents, or an adjacent frontier area. You do not need to be a researcher and you do not need to write the pipeline. You do need to be someone a research lead wants in the room: able to hold your own on a technical argument, tell whether this domain’s data is good or bad, and know who to pull in when it isn’t.
• A track record of building rather than administering. Founders, early operators, and people who have stood something up from nothing tend to do well here. We care much more about what you have owned and accomplished than how many people have reported to you.
• Commercial judgment with customers. You can run a technical discovery conversation, scope an engagement, and hold a hard margin or timeline conversation without escalating it.
• Comfort with ambiguity and with peers who are not your reports. Most of what you need to get done, you will get done through people who do not report to you.
• Seniority. Typically 8+ years with meaningful time at the level described above, though we care about the substance far more than the count.
• Prior people management experience; preference 3+ years

Bonus: experience in AI/ML data, evals or benchmarks; having built a function or business line inside a fast-scaling company; a founder or early-employee background in a technical product.

Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, and New York, and is $296,000 - $444,000. All offers include equity compensation.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Counsel, Commercial

What You’ll Do

Snorkel AI is looking for a Counsel, Commercial to join our growing Legal team, reporting to Snorkel’s Associate General Counsel, Commercial. This is a key role across Snorkel’s commercial contracting function, including vendor agreements and customer agreements.

You will serve as a trusted legal partner to business teams across the company, drafting, reviewing, and negotiating a wide range of commercial contracts while helping build scalable processes. You’ll work closely with cross-functional stakeholders, combining strong commercial legal skills with the hands-on, execution-oriented approach required in a fast-growing technology company.

This hybrid role is based in San Francisco or New York City.

Responsibilities

• Draft, review, and negotiate a broad range of commercial contracts, including vendor and customer agreements, NDAs, MSAs, SOWs, order forms, and other commercial arrangements.
• Serve as a trusted legal partner to cross-functional teams on commercial contracts.
• Manage a high volume of contracts and competing priorities, ensuring timely execution and alignment with business objectives.
• Review and negotiate commercial agreement efficiently and identity when issues require escalation or cross-functional input.
• Contribute to the development and continuous improvement of contract templates, playbooks, and negotiation guidelines to drive consistency and efficiency across the commercial contracting process.
• Manage contract workflows and lifecycle processes, including intake, routing, approval, execution, and archival.
• Support the Associate General Counsel, Commercial on ad hoc legal projects and other matters as needed.

Who You Are

Minimum Qualifications

• J.D. and active membership in good standing in at least one U.S. jurisdiction.
• 3–5 years of relevant commercial or transactional legal experience in-house.
• Strong experience drafting and negotiating a wide range of commercial contracts, including vendor agreements, customer agreements, NDAs, MSAs, SOWs, and order forms.
• Excellent drafting, negotiation, and communication skills, with the ability to explain complex legal concepts clearly to business stakeholders.
• Experience with Ironclad or similar contract lifecycle management (CLM) platforms.
• Comfort with using AI workflows and operating in a fast-paced environment.
• Strong business judgment and the ability to balance legal risk with business objectives in a fast-moving environment.
• Ability to manage a high volume of contracts and competing priorities in a fast-moving environment.

Preferred Qualifications

• Experience at a technology, AI company, or at a high-growth startup.
• Experience helping build or improve contracting workflows, templates, or vendor review processes.
• Comfortable operating in a fast-moving environment where priorities evolve and the Legal team is expected to be both strategic and highly execution-oriented.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$125,000—$185,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Binti builds software for state and county government agencies, focusing on reinventing social services. We started in child welfare, with the mission of helping every child have a safe, loving, and stable family. To date, we’ve helped approve more than 100,000 families to foster or adopt, and we support over 49% of the nation’s child welfare system. We have expanded our product offerings in child welfare, moving more to the root of the problem, helping families stay together and avoid separation, and are now expanding horizontally across other areas in social services.

Binti is a for-profit, mission-driven software company based in San Francisco, CA. Investors include Founders Fund, First Round Capital, Kapor Capital, and others. We’re a team of ~90 people and growing quickly. We care about creating a workplace where everyone feels welcome and can bring their full self to work. We have a huge, ambitious vision to rewire government to be more effective in expanding opportunities for people around the world, and we are looking for mission-driven, high-empathy, high-performance, and low-ego team members to join us on our exciting journey towards that vision.

OVERVIEW OF ROLE

We’re looking for a technically sharp, customer-facing Sales Engineer to be the senior technical voice in Binti’s sales motion. As part of Binti’s emerging Customer Engineering function, you’ll partner with Government Sales Managers to design the technical shape of each deal: leading security, integrations, and architecture conversations with prospective agencies and owning technical RFP responses. Government Sales Managers own the product demo; you own the technical win. This role is central to Binti’s growth and impact: it turns complex, high-stakes government buying processes into confident technical yeses, so more agencies can adopt Binti and improve outcomes for children and families. You’ll support a large team of Government Sales Managers, so the biggest wins here come from being a force multiplier: building reusable, scalable resources the whole team can build on, rather than working 1:1 on every deal.

LOCATION

Binti is headquartered in San Francisco, California. Much of our team is local to the San Francisco Bay Area and works via a hybrid setup, in-person from the office on Monday and Thursday and remote otherwise. Satellite offices, like Seattle, Washington, set their own in-office days and hybrid policies, but in general employees are encouraged to join the leadership team on the days when they will be in the office for collaboration and team cohesion.

A meaningful part of this position is engaging directly with prospective customers during the sales process, so this job includes up to 25% travel for discovery sessions, security and architecture conversations, and on-site pitches.

WHAT YOU WILL DO

• Serve as the senior technical voice in the sales process, leading security, integrations, and technical-architecture conversations with prospective customers and their IT and security teams.

• Play a hands-on role in Binti’s most critical strategic and enterprise deals, building trusted relationships with the technical stakeholders on the prospect side (IT, security, and data teams) and serving as the technical partner they rely on throughout the sale.

• Design the technical shape of the deal: run technical discovery and solution architecture across the sales motion, mapping Binti to each agency’s systems, data, and workflows (Government Sales Managers own the product demo).

• Own technical RFP responses and security questionnaires, and build the technical-win plan for strategic deals.

• Partner with Product to develop demo resources, environments, and scripts that Government Sales Managers can run themselves, giving the field self-serve ways to demo Binti confidently. This includes learning to configure the Binti product yourself, the way our team does, and generating the data and profiles that make demos realistic and compelling, using modern AI tooling to do both efficiently.

• Act as a force multiplier for the GSM team: build reusable, scalable resources (playbooks, templates, reference architectures, RFP and security-response libraries, and demo scripts) that let many GSMs self-serve, prioritizing leverage across the team over 1:1 support on every deal.

• Partner with Sales on deal qualification, technical feasibility, and pipeline strategy.

• Partner with the Integrations and Customer Delivery teams to make sure what is scoped in the sale is deliverable, and hand off cleanly into implementation.

• Champion security and privacy, including HIPAA compliance for sensitive data, and make it easy for prospects to say yes to Binti’s security posture.

• Synthesize what you learn in the field into structured product feedback that helps shape what Binti builds next.

• Use modern AI tooling to turn a curated knowledge base of past responses and reference architectures into strong first drafts of RFPs, security questionnaires, and design docs, cutting turnaround time so a small team can cover a large sales surface area.

SAMPLE PROJECTS

• Own the technical narrative in a strategic state-level RFP, coordinating the response across Product, Engineering, and Security.

• Run technical discovery and solution architecture for a new statewide prospect, then translate it into a clear technical-win plan the deal team can execute.

• Build an AI-assisted RFP and security-questionnaire response system that turns a curated knowledge base into strong first drafts, measurably shortening turnaround on strategic deals.

• Partner with a Government Sales Manager to navigate a customer security review and integration-architecture Q&A that unblocks a stalled deal.

WHO YOU ARE / WHAT WE LOVE ABOUT YOU

• You have at least 8 years of experience, including prior time as a Sales Engineer or Solutions Architect at a cloud or SaaS company, ideally with gov-tech or government sales experience and a feel for how public-sector agencies buy, their procurement, security, and compliance processes, and how to navigate long, multi-stakeholder deals.

• You are excellent at objection handling and hold your own as the technical voice in executive customer conversations.

• You are adaptable and resilient, and you bring results-orientation, ownership, and urgency to a deal.

• You have deep product and technical knowledge, and you are fluent in APIs, integrations, data, and security.

• You excel at cross-functional collaboration across sales, product, delivery, and security.

• You are energized by winning through technical trust, not just closing tickets or running demos, and you have a track record of making customers happy.

• You think like a force multiplier: you instinctively turn one-off solutions into reusable assets that make an entire team better, rather than becoming the bottleneck on every deal.

• You are allergic to “hero” culture and to being a single point of failure, and you actively work to avoid becoming one by creating tools and reusable resources that others can use.

• You have a heart for storytelling and understand the power a compelling narrative can have in moving a sale forward.

• You can translate complex technical concepts for non-technical government buyers, and you are comfortable with legacy and government systems and their tradeoffs.

• You have excellent verbal, written, and interpersonal communication skills, and strong technical writing for RFPs.

• You are comfortable with up to 25% travel. The SF Bay Area or Seattle is preferred where possible, but not required; remote is welcome for the right candidate.

• You are interested in the possibilities of Gen AI, with experience and judgment there a big plus.

• Nice to have: integrations experience, startup experience, and relevant certifications or continued education.

• You have genuine passion for using technology to improve outcomes for children and families in the child welfare system.

BENEFITS & PERKS

• An above-market compensation package (salary + equity)

• Excellent medical, dental, vision, and life insurance - 99% of insurance premiums covered for you + your dependents

• Flexible vacation time to promote a healthy work-life blend

• 13 paid holidays; 11 federally observed holidays (including Juneteenth), plus Election Day and the day after Thanksgiving

• 16 weeks of paid parental bonding leave for the arrival of a newborn or newly placed infant

• Sick/mental health time separate from vacation days (accrue up to a cap of 80 hours)

• 4 weeks of sabbatical after 4 years of service at the company

• 401k, Commuter benefits, FSA, and DCFSA

• $5,000 annual bonus for employees who volunteer as a CASA (court-appointed special advocates)

• $2,500 annual reimbursement for ongoing learning and development, with opportunities to attend trainings/conferences, on-site speaker series, and lunch and learns

• $300 reimbursement for initial office setup

• $50 a month effective work reimbursement to cover internet, electricity, office setup costs, or lunch/snacks with coworkers

• Paid jury duty

At Binti, we celebrate having a diverse team and believe our differences make us stronger. Binti is proud to be an equal-opportunity workplace and is an equal-opportunity employer. We welcome all qualified applicants to apply without regard to race, color, religion, gender, sexual orientation, age, national origin, disability, or protected Veteran status.

Company Description

Join One of New York’s Most Awarded Mental Health Employers!

At NYPCC , we’re not just changing lives, we’re redefining what it means to build a meaningful career in mental health.

🏆2025 and 2026 City & State Top Workplace in New York

🏆 Mental Health America’s Platinum Bell Seal recipient for FIVE consecutive years

🏆 Serving 15,000+ clients every month

🏆 50+ years of transforming lives across New York City

If you’re looking for more than just your next job, you’ve found it.

For over five decades, New York Psychotherapy and Counseling Center (NYPCC) has been one of New York’s leading community mental health organizations, delivering innovative, compassionate care through both in-person and telehealth services. Today, we proudly serve more than 15,000 clients each month while continuing to set the standard for clinical excellence and employee experience.

At NYPCC, you’ll find:

• Competitive compensation and outstanding benefits
• Career growth through our Academy and leadership development programs
• A collaborative, mission-driven culture where our employee matters
• The chance to make a lasting impact on thousands of lives every single day

Come build a career where purpose meets possibility!

Job Description

This is a full-time position that will be located at our new Child and Family Mental Health Clinic in Jackson Heights (Queens, NY).

Responsibilities:

• Provide therapy to an ethnically and culturally diverse population of children, adolescents, and adults
• Develop, implement, and review treatment plans
• Write progress notes for all sessions conducted
• Evaluate and assess clients
• Maintain and update clinical records
• Provide case management and/or crisis intervention
• Attend clinical supervision and staff meetings
• Perform other duties as assigned by Supervisor

Qualifications

• Master’s Degree from an accredited school in Social Work, or Mental Health Counseling is a must
• LMSW, LCSW, MHC, MHC-LP or LMHC’s are welcome to apply
• Outstanding engagement, interpersonal communication skills, and ability to work collaboratively with other disciplines, including clinical and clerical staff
• Ability to manage time effectively to ensure documentation compliance
• Exceptional writing skills
• Proficient in Microsoft Office, including Outlook, Word, Excel, and PowerPoint
• Strong entrepreneurial work ethic
• Dedication to workplace mentorship, education, and team-based care
• Maintains a positive attitude and is friendly, upbeat, and has a great “can do” personality
• Able to work well in a fast-paced environment
• Adheres to professional ethics
• Passionate about NYPCC’s mission and values

Additional Information

Salary: $72,800 - $100,000 per year

Compensation commensurate with experience and qualifications.

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

The Strategic Delivery Lead is the senior operator accountable for turning a pod’s ambition into reliably delivered, high-quality work. This role is hybrid ( _3 days/week in office)_ in San Francisco,CA or New York City, NY. You will own the performance of a portfolio spanning samples, off-the-shelf datasets, proprietary data products, and bespoke engagements, connecting GTM, Research, Delivery, Product, Engineering, and Expert AI Supply to ensure the right work is prioritized, staffed, and executed. This is a highly cross-functional role: you will lead through influence cross functionally and directly manage a team of strategic project leads (SPLs), bring clarity to complex tradeoffs, and personally intervene when quality, delivery, or customer outcomes are at risk.

You will be the pod’s owner for margin performance and operating economics, with a clear view of cost-to-deliver, gross margin, capacity, and the operational choices that drive them. While you will not set pricing, your cost, scope, and delivery inputs will directly inform pricing and commercial decisions. In partnership with Product, Research and Forward Deployed Engineering, you will translate the domain’s strategy and priority bets into an executable roadmap, mobilizing the teams required to bring it to life and building the systems, rhythms, and playbooks that make the model stronger with every launch.

What You’ll Do

• Own your pod’s margin performance and operating economics. Be accountable for understanding and improving the cost-to-deliver, gross margin, and financial health of the pod’s work. Track data orders and recognized revenue, challenge staffing and production decisions that erode margin, and provide the cost and delivery inputs that inform pricing decisions. Represent the pod’s commercial and operational performance in the weekly business review.
• Bring the pod’s four-quarter roadmap to life. Partner with Product and Research to execute against the strategy and priority bets they have defined for the domain, translating them into an actionable delivery roadmap, mobilizing the right cross-functional teams, and ensuring launches and projects are delivered with the required quality, speed, and economics.
• Manage and grow a team of Strategic Project Leads (SPLs) to ensure projects are delivered on time, and you establish a culture of high performance.
• Serve as the connective tissue between GTM and Delivery. Maintain a clear view of the commercial pipeline, ensure pre-sales teams have the support they need, PMM has what it needs, and be able to speak confidently to delivery plans, capacity, risks, and tradeoffs across your portfolio.
• Own the performance of the full project portfolio. Ensure every project, across samples, OTS datasets, proprietary data products, and bespoke engagements, is delivered on time, to the highest quality, and against its expected financial return.
• Mobilize the right people at the right time. Bring together Research, Engineering, subject-matter experts, Delivery, and Expert AI Supply, negotiating for capacity and driving alignment across teams that do not report directly to you.
• Build and optimize the pod’s workforce plan. Partner closely with the heads of Delivery and Expert AI Supply to ensure projects are staffed with the right expertise, talent is deployed effectively, and capacity is planned strategically against current and future demand.
• Obsess over quality, personally. Get into the data, understand where quality is breaking down, and force the right conversations and actions when something is wrong, regardless of whether you are the person who can directly fix it.
• Actively manage and improve margin. Challenge staffing models, production pipelines, and other cost drivers when work is more expensive than it needs to be, and deliver measurable improvements to the domain’s margin profile.
• Turn recurring failures into systemic fixes. When the same problem appears repeatedly, address it in the operating model, tooling, or process rather than continuing to solve it one project at a time.
• Build the pod playbook. As one of the first leaders operating this model, establish the rhythms, processes, roles, and best practices that will make the model repeatable for future pods.
• Share learnings across the broader organization. Ensure insights, proven practices, and recurring challenges are systematically shared across pods so that each team benefits from what others have learned.

What You’ll Bring

• Ownership of a P&L or a business unit - you have carried a number, made pricing and cost trade-offs, and lived with the result. Consulting-style project leadership without commercial ownership is not the same thing.
• Real depth in a technical domain - software engineering, computer use and agents, or an adjacent frontier area. You do not need to be a researcher and you do not need to write the pipeline. You do need to be someone a research lead wants in the room: able to hold your own on a technical argument, tell whether this domain’s data is good or bad, and know who to pull in when it isn’t.
• A track record of building rather than administering. Founders, early operators, and people who have stood something up from nothing tend to do well here. We care much more about what you have owned and accomplished than how many people have reported to you.
• Commercial judgment with customers. You can run a technical discovery conversation, scope an engagement, and hold a hard margin or timeline conversation without escalating it.
• Comfort with ambiguity and with peers who are not your reports. Most of what you need to get done, you will get done through people who do not report to you.
• Seniority. Typically 8+ years with meaningful time at the level described above, though we care about the substance far more than the count.
• Prior people management experience; preference 3+ years

Bonus: experience in AI/ML data, evals or benchmarks; having built a function or business line inside a fast-scaling company; a founder or early-employee background in a technical product.

Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, and New York, and is $296,000 - $444,000. All offers include equity compensation.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

The Strategic Delivery Lead is the senior operator accountable for turning a pod’s ambition into reliably delivered, high-quality work. This role is hybrid ( _3 days/week in office)_ in San Francisco,CA or New York City, NY. You will own the performance of a portfolio spanning samples, off-the-shelf datasets, proprietary data products, and bespoke engagements, connecting GTM, Research, Delivery, Product, Engineering, and Expert AI Supply to ensure the right work is prioritized, staffed, and executed. This is a highly cross-functional role: you will lead through influence cross functionally and directly manage a team of strategic project leads (SPLs), bring clarity to complex tradeoffs, and personally intervene when quality, delivery, or customer outcomes are at risk.

You will be the pod’s owner for margin performance and operating economics, with a clear view of cost-to-deliver, gross margin, capacity, and the operational choices that drive them. While you will not set pricing, your cost, scope, and delivery inputs will directly inform pricing and commercial decisions. In partnership with Product, Research and Forward Deployed Engineering, you will translate the domain’s strategy and priority bets into an executable roadmap, mobilizing the teams required to bring it to life and building the systems, rhythms, and playbooks that make the model stronger with every launch.

What You’ll Do

• Own your pod’s margin performance and operating economics. Be accountable for understanding and improving the cost-to-deliver, gross margin, and financial health of the pod’s work. Track data orders and recognized revenue, challenge staffing and production decisions that erode margin, and provide the cost and delivery inputs that inform pricing decisions. Represent the pod’s commercial and operational performance in the weekly business review.
• Bring the pod’s four-quarter roadmap to life. Partner with Product and Research to execute against the strategy and priority bets they have defined for the domain, translating them into an actionable delivery roadmap, mobilizing the right cross-functional teams, and ensuring launches and projects are delivered with the required quality, speed, and economics.
• Manage and grow a team of Strategic Project Leads (SPLs) to ensure projects are delivered on time, and you establish a culture of high performance.
• Serve as the connective tissue between GTM and Delivery. Maintain a clear view of the commercial pipeline, ensure pre-sales teams have the support they need, PMM has what it needs, and be able to speak confidently to delivery plans, capacity, risks, and tradeoffs across your portfolio.
• Own the performance of the full project portfolio. Ensure every project, across samples, OTS datasets, proprietary data products, and bespoke engagements, is delivered on time, to the highest quality, and against its expected financial return.
• Mobilize the right people at the right time. Bring together Research, Engineering, subject-matter experts, Delivery, and Expert AI Supply, negotiating for capacity and driving alignment across teams that do not report directly to you.
• Build and optimize the pod’s workforce plan. Partner closely with the heads of Delivery and Expert AI Supply to ensure projects are staffed with the right expertise, talent is deployed effectively, and capacity is planned strategically against current and future demand.
• Obsess over quality, personally. Get into the data, understand where quality is breaking down, and force the right conversations and actions when something is wrong, regardless of whether you are the person who can directly fix it.
• Actively manage and improve margin. Challenge staffing models, production pipelines, and other cost drivers when work is more expensive than it needs to be, and deliver measurable improvements to the domain’s margin profile.
• Turn recurring failures into systemic fixes. When the same problem appears repeatedly, address it in the operating model, tooling, or process rather than continuing to solve it one project at a time.
• Build the pod playbook. As one of the first leaders operating this model, establish the rhythms, processes, roles, and best practices that will make the model repeatable for future pods.
• Share learnings across the broader organization. Ensure insights, proven practices, and recurring challenges are systematically shared across pods so that each team benefits from what others have learned.

What You’ll Bring

• Ownership of a P&L or a business unit - you have carried a number, made pricing and cost trade-offs, and lived with the result. Consulting-style project leadership without commercial ownership is not the same thing.
• Real depth in a technical domain - software engineering, computer use and agents, or an adjacent frontier area. You do not need to be a researcher and you do not need to write the pipeline. You do need to be someone a research lead wants in the room: able to hold your own on a technical argument, tell whether this domain’s data is good or bad, and know who to pull in when it isn’t.
• A track record of building rather than administering. Founders, early operators, and people who have stood something up from nothing tend to do well here. We care much more about what you have owned and accomplished than how many people have reported to you.
• Commercial judgment with customers. You can run a technical discovery conversation, scope an engagement, and hold a hard margin or timeline conversation without escalating it.
• Comfort with ambiguity and with peers who are not your reports. Most of what you need to get done, you will get done through people who do not report to you.
• Seniority. Typically 8+ years with meaningful time at the level described above, though we care about the substance far more than the count.
• Prior people management experience; preference 3+ years

Bonus: experience in AI/ML data, evals or benchmarks; having built a function or business line inside a fast-scaling company; a founder or early-employee background in a technical product.

Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, and New York, and is $296,000 - $444,000. All offers include equity compensation.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Counsel, Commercial

What You’ll Do

Snorkel AI is looking for a Counsel, Commercial to join our growing Legal team, reporting to Snorkel’s Associate General Counsel, Commercial. This is a key role across Snorkel’s commercial contracting function, including vendor agreements and customer agreements.

You will serve as a trusted legal partner to business teams across the company, drafting, reviewing, and negotiating a wide range of commercial contracts while helping build scalable processes. You’ll work closely with cross-functional stakeholders, combining strong commercial legal skills with the hands-on, execution-oriented approach required in a fast-growing technology company.

This hybrid role is based in San Francisco or New York City.

Responsibilities

• Draft, review, and negotiate a broad range of commercial contracts, including vendor and customer agreements, NDAs, MSAs, SOWs, order forms, and other commercial arrangements.
• Serve as a trusted legal partner to cross-functional teams on commercial contracts.
• Manage a high volume of contracts and competing priorities, ensuring timely execution and alignment with business objectives.
• Review and negotiate commercial agreement efficiently and identity when issues require escalation or cross-functional input.
• Contribute to the development and continuous improvement of contract templates, playbooks, and negotiation guidelines to drive consistency and efficiency across the commercial contracting process.
• Manage contract workflows and lifecycle processes, including intake, routing, approval, execution, and archival.
• Support the Associate General Counsel, Commercial on ad hoc legal projects and other matters as needed.

Who You Are

Minimum Qualifications

• J.D. and active membership in good standing in at least one U.S. jurisdiction.
• 3–5 years of relevant commercial or transactional legal experience in-house.
• Strong experience drafting and negotiating a wide range of commercial contracts, including vendor agreements, customer agreements, NDAs, MSAs, SOWs, and order forms.
• Excellent drafting, negotiation, and communication skills, with the ability to explain complex legal concepts clearly to business stakeholders.
• Experience with Ironclad or similar contract lifecycle management (CLM) platforms.
• Comfort with using AI workflows and operating in a fast-paced environment.
• Strong business judgment and the ability to balance legal risk with business objectives in a fast-moving environment.
• Ability to manage a high volume of contracts and competing priorities in a fast-moving environment.

Preferred Qualifications

• Experience at a technology, AI company, or at a high-growth startup.
• Experience helping build or improve contracting workflows, templates, or vendor review processes.
• Comfortable operating in a fast-moving environment where priorities evolve and the Legal team is expected to be both strategic and highly execution-oriented.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$125,000—$185,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Headquarters: Denver, CO - Hybrid; New York, New York, United States; Phoenix, AZ - Remote; San Francisco, CA - Hybrid

 

About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

 
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

 
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

As an Agentic Operations Architect, you will own the reusable capabilities that make agentic service workflows possible, the patterns, primitives, standards, and tooling that other builders across the org use to automate discrete customer problems. You are not the owner of any single workflow. You are the reason a workflow that took six weeks takes two, and the reason the tenth one is safer than the first. You will prototype workflows yourself, but as a means to an end: to prove a pattern is sound, to find out what builders are missing, and to earn the right to set a standard.

About the Team:

The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.

Here’s what you’ll do day-to-day:

Build the patterns

• Design the reusable patterns for agentic service workflows, orchestration, HITL protocols, override and escalation logic, quality safeguards, so builders assemble from proven components
• Set the standards builders work to, concrete enough to apply without you in the room
• Prototype workflows selectively: to validate a pattern, expose a gap, or unblock a hard problem, then extract the reusable part and hand it off
• Pull learnings from every build back into the shared patterns, so each one is faster and safer than the last

Shape the platform

• Influence Product on what to build next: turn what's slowing builders down into specific, prioritized asks backed by evidence
• Prototype around gaps the platform doesn't cover yet, proving a capability is worth building before USP invests
• Be honest in both directions about the distance between what builders need and what exists

Point capacity at the right problems

• Rank automation opportunities by volume, risk, and customer impact, mining SOPs, operational metrics, and interaction data, to determine what gets built and where builders go
• Work with Data to define how workflow performance gets measured, so every builder measures the same way
• Identify where there are processes which exist which should not be automated

Carry the quality stakes

• Bring what's at stake for customers into Legal, Security, Compliance, and platform reviews, so requirements land in the patterns instead of getting retrofitted per workflow
• Represent how the portfolio is performing to senior stakeholders, briefly, and in a way that drives action

Here’s what we're looking for:

• 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows in production
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations, including multi-agent coordination — conceptual familiarity is not sufficient at this level
• Strong fluency with LLM systems: prompt design, evaluation, and how models actually behave at scale
• Experience designing human-in-the-loop systems with clear escalation logic, override controls, and compliance-aware checkpoints
• Ability to define and diagnose workflow metrics — solve and assist rate, containment, escalation quality — and to tell a real regression from noise
• Proven track record influencing Product, Engineering, Legal, Security, and Compliance in writing, in design reviews, and in high-stakes forums
• Familiarity with Responsible AI practices, governance, and risk management in production
• Prior experience in a function being actively redefined — you have built the plane while flying it before

Strongly preferred

• Experience with RAG architectures and retrieval quality optimization
• Ability to assess whether underlying data structures, quality, and governance can support reliable agentic performance
• Experience in SaaS, fintech, or regulated environments where compliance constraints are real
• Exposure to AI governance or safety-oriented review processes

Our cash compensation amount for this role is $168,420/yr to $210,525/yr in Denver & most major metro locations, and $197,895/yr to $247,369/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

To apply: https://weworkremotely.com/remote-jobs/gusto-inc-agentic-operations-architect

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

The Developer Experience team at Instacart is the force multiplier for our 1000+ engineers. We define and build the platforms, tools, and practices that enable Instacart engineers to ship high-quality software faster — from AI-powered code review to build infrastructure, developer onboarding, and local development environments. Our success is measured in developer velocity: how quickly an engineer can take an idea from concept to production.

As a Staff Software Engineer on Developer Experience, you will lead the technical direction for the developer infrastructure that every Instacart engineer relies on. That spans local and remote development environments, CI pipelines and the feedback loop on every commit, pre-production environments that engineers and AI agents can trust, version-control infrastructure, and the AI-powered developer tooling woven through all of it. This is a hands-on technical leadership role. You’ll write code, set architectural direction, and partner across the org to move engineering-wide metrics on developer velocity, CI reliability, and the time it takes to get a change safely into production.

About the Job

• Lead the technical direction for Instacart’s local and remote development environments, including ephemeral environments, image-based provisioning, health checks, and the developer-facing ergonomics of the inner development loop.
• Lead the technical direction for our CI pipeline infrastructure and the commit-to-feedback loop, CI reliability, failure diagnostics, flaky-test reduction, and shift-left validation.
• Own the architecture and evolution of our pre-production environments, including staging stability, service-owner accountability models, and environments that let engineers and AI agents validate changes end-to-end in parallel.
• Drive the reliability and resilience of our git infrastructure, git operations at monorepo scale, and implement disaster recovery plans.
• Advance AI-powered developer tooling across the workflow, AI-assisted code review, agentic development workflows, and the platforms that let engineers run many AI sessions in parallel with humans on the loop.
• Design and drive multi-quarter initiatives that measurably improve developer velocity, CI reliability, pre-production health, and the local development loop.
• Own the developer experience metrics for the systems you lead: define what “good” looks like, instrument it, and use the data to prioritize investment.
• Partner with infrastructure, platform, and product engineering teams to roll out platform changes with minimal disruption
• Set the technical bar for the systems you own on reliability, performance, upgrade cadence, and developer ergonomics.
• Mentor engineers in the team and the broader engineering org; grow the community of developer infrastructure experts at Instacart.
• Represent the team in cross-org technical discussions on local development experience, CI/CD, pre-production, and AI-augmented development.

About You

• A hands-on technical leader who is equally comfortable in a CI pipeline definition, a design doc, a vision document, and a cross-org migration plan.
• Metrics-driven. You use build times, CI failure rates, pre-production pass rates, feedback-loop latency, and developer feedback to guide where to invest.
• A multiplier. You make the engineers around you more effective through mentorship, clear technical writing, and pragmatic guidance.
• Comfortable driving cross-team change. You can build consensus for a migration or a platform shift and see it through to adoption.

Minimum Qualifications

• 10+ years of software development experience.
• Deep, hands-on experience operating CI/CD systems at scale (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI), including pipeline design, reliability, and performance tuning for large engineering organizations.
• Experience building or operating local/remote development environments or developer platforms (e.g., ephemeral environments, dev containers, internal PaaS), with a point of view on the inner development loop.
• Track record of leading cross-team technical initiatives with measurable impact on developer velocity, CI reliability, pre-production stability, or feedback-loop time.
• Experience with cloud infrastructure (AWS preferred), containerization (Docker), and orchestration (ECS/Kubernetes or equivalent).
• Experience with large monorepos and the git infrastructure challenges that come with them.
• Strong technical leadership: driving direction, mentoring engineers, and influencing without direct authority.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
• Experience owning or evolving a developer environment platform used by a large engineering org.
• Experience stabilizing pre-production / staging environments at scale, including establishing service-owner accountability and SLAs.
• Experience with AI-powered developer tooling — AI code review, agentic coding workflows, or platforms that run async agentic work for engineers.
• Experience defining and instrumenting developer productivity metrics (CI failure rate, feedback-loop time, pre-production pass rate, local dev loop).
• Experience at high-growth companies operating developer infrastructure for large engineering organizations.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$229,000—$241,000 CAD

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unlock AI.

We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time.

This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB.

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

What you’ll do

• Design performance and benchmarking workloads that reflect realistic customer or product scenarios
• Build and improve production-quality internal tooling, test harnesses, automation, and reusable workload components
• Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed
• Run benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatability
• Analyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearly
• Translate broad business or engineering questions into scoped technical plans, success criteria, and execution milestones
• Partner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionable
• Produce clear technical documents, reports, and summaries that connect findings to product decisions and field value
• Help shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to mature
• Mentor peers where appropriate and contribute to a collaborative, low-ego engineering culture

What we’re looking for

• 5+ years of experience building, debugging, and improving distributed and/or highly concurrent software systems
• Strong software engineering fundamentals, including writing maintainable code, profiling performance, and debugging complex issues
• Hands-on experience with MongoDB architecture, MongoDB Query Language (MQL), and MongoDB performance tuning
• Hands-on experience with performance testing methodologies such as load, stress, latency, or scalability testing
• Experience designing and implementing benchmarking or performance-validation workflows
• Strong coding skills in Python or a similar language, plus the ability to learn new stacks quickly
• Strong hands-on experience with at least one of the three major cloud providers used for this role, AWS, Azure or GCP, including the practical trade-offs involved in running reliable applications at scale
• Strong hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platforms
• Ability to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecks
• Strong written and verbal communication skills, especially when explaining technical findings to different audiences
• Ability to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomy
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

Nice to have

• Experience with CI/CD systems and integrating automated tests into engineering workflows
• Experience creating reusable technical documentation, runbooks, or internal playbooks

Success in this role

In your first 30 days

• Build a clear understanding of the team’s current workloads, tooling, roadmap, and stakeholder landscape
• Complete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your work
• Start contributing code, review feedback, and execution support on active benchmark efforts

In your first 90 days

• Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiatives
• Improve at least one area of the team’s tooling, documentation, or execution workflow
• Build strong working relationships with key cross-functional partners

In your first 6 months

• Own meaningful benchmark or tooling work from scoping through delivery
• Improve repeatability, clarity, or efficiency in how the team designs, runs, or reports on tests
• Contribute to mentorship, documentation, or process improvements that increase team autonomy

In your first 12 months

• Be a trusted technical contributor across benchmark design, tooling, and analysis
• Influence how the team prioritizes and scales its work
• Expand your scope through technical leadership, cross-functional collaboration, and deeper ownership of systems and processes

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation, please inform your recruiter.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 3273538787

Company Description

Today, Assystem is among the top three independent nuclear engineering firms worldwide. With over 60 years of experience in highly regulated sectors, the group supports public and industrial stakeholders in the execution of complex and strategic infrastructure projects, subject to high safety and security requirements.

Assystem mobilizes 8,000 experts in 13 countries and intervenes across the entire project lifecycle, in engineering, project management and digital solutions.

Job Description

🔐 Security Assistant

Reporting to the Personnel Security Manager, the Security Assistant will support the company’s Personnel Security activities, with a focus on security vetting, aftercare and security compliance.

📍 Location: Bolton

🏢 Working pattern: Hybrid – 2–3 days per week in the office

🔹 Key Responsibilities

🛡️ Process vetting applications for staff and contractors, providing guidance on all types of vetting.

🔄 Monitor security clearances and ensure renewals are completed promptly.

📋 Communicate changes to vetting policies and procedures.

🤝 Liaise with external agencies and verify internal and external clearances.

🔎 Conduct thorough checks and maintain effective Personnel Security controls.

💬 Act as the main contact for vetting and security enquiries, handling information sensitively and in line with data protection requirements.

🚨 Support security incident reporting, follow-up actions and lessons learned.

📁 Provide security support for key projects.

🎫 Manage site-specific security responsibilities, including issuing site passes.

📢 Support the wider Security Department with general security activities, communications and awareness campaigns.

Qualifications

🎓 Essential Experience & Qualifications

💻 Experienced user of Microsoft Office, particularly Word and Excel

⭐ Desirable Experience

🛡️ Previous experience in a similar security role

🎓 DISA Training

👤 Person Specification

⏰ Reliable and dependable

🚀 Self-motivated and proactive

🤝 Honest and trustworthy

📋 Well organised

🎯 Able to meet deadlines and prioritise workload

🔎 Methodical and accurate

🔐 Able to gain and maintain the appropriate security clearance

Additional Information

Due to the nature of work to be undertaken applicants will be required to meet certain residency criteria in order to attain a minimum level of UK security clearance if not already security cleared to a minimum SC level.

NOTICE TO CANDIDATES ON RECRUITMENT FRAUD - We are committed to safeguarding candidates from fraudulent activity associated with our recruitment process. Please note that we will never offer specialist CV writing services, request payment or ask for sensitive personal information during the recruitment process.

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.

About Taskrabbit:

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday.

About the Role

Machine Learning is a cornerstone at Taskrabbit, and we’re looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale.

Taskrabbit’s greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There’s significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expansion unlocks new revenue streams within our existing customer base.

This role is central to capturing that opportunity. While initial matching quality and service discovery matter, the real competitive advantage and growth lever is optimizing the experience after a successful first job.

What You’ll Work On:

• Taskrabbit Ranking Model: Own the reliability and performance of our core ranking system, ensuring accurate tasker-to-job matching and optimizing First-Time Right (FTR) rates.
• Increased repeat purchase frequency through intelligent matching, personalized recommendations, and category discovery
• Expanded customer lifetime value by helping customers find and return for new service categories
• Optimized affordability and relevance via dynamic pricing, smart segmentation, and category-specific experiences
• Reduced friction and churn through predictive quality interventions and proactive customer success
• Marketplace resilience by building systems that keep high-value customers engaged and loyal
• End-to-End ML Lifecycle: Own the complete lifecycle of models—from feature engineering and training through evaluation, deployment, monitoring, and optimization in production.
• Infrastructure & Scalability: Build and maintain scalable, reliable ML infrastructure and data pipelines that support reproducible feature engineering and model deployment across real-time, near real-time, and batch contexts.
• Monitoring & Performance Optimization: Develop monitoring and observability systems to understand data quality and model performance in complex systems. Collaborate with engineering and science teams to optimize algorithms for training, inference, and evaluation.
• Software Engineering Excellence: Write clean, efficient, and maintainable code. Participate actively in code reviews, documentation, and best practices across the full software engineering lifecycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we’re thinking about what you’ll need to be successful in the role.

• BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
• 8+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
• Strong theoretical knowledge and hands-on experience in machine learning, particularly in search, ranking, recommender systems, pricing/elasticity modeling, or predictive analytics.
• Solid software engineering skills with proficiency in one or more programming languages, including Python.​​  The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
• Proficiency in SQL is also required for writing complex queries and transforming data.
• Experience building REST API-based services.
• Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.
• Familiarity with dbt is a plus for transforming and testing data.
• Familiarity with tools for Infrastructure as Code, such as Github actions, and CI/CD pipelines.
• Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
• A passion for quickly learning new technologies and a drive to solve challenging problems, and a collaborative mindset.
• Ideally, experience working in marketplace or platform contexts where ranking, matching, and pricing directly impact user experience and business outcomes.

Compensation & Benefits:

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

You’ll love working here because:

• Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
• The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams – people you can be proud to work with!
• The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
• The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.

Taskrabbit’s commitment to Diversity and Inclusion:

An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

AI-Assisted Prescreening Notice [US Based Candidates Only]: As part of our hiring process, we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions — every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool, you may opt out by selecting ‘opt out’ in the application form or by emailing talentacquisition@taskrabbit.com, and your application will be reviewed manually with no impact on your candidacy.

Hybrid

Lokation: Prague 8, HO 50 %

Languages: Fluent English and Czech

Level: Senior

Form of cooperation: Contraktor

Start date: asap

Allocation: Full-Time

Allocation length: Long term

The Role:

We are looking for an experienced Senior DevOps Engineer to join our team in Prague. In this role, you will maintain, operate, and incrementally improve our established Google Cloud Platform (GCP) and Kubernetes/OpenShift architecture. You will ensure the reliability and continuous optimization of our GitOps delivery practices (ArgoCD) and GitHub-based automation.

Your Tasks & Responsibilities:

• Cloud Platform Engineer: Build and support resilient, secure, and scalable enterprise-grade infrastructure across Google Cloud Platform (GCP).
• GitOps & Delivery Automation: Build and standardize declarative GitOps workflows using ArgoCD and robust, secure CI/CD pipelines via GitHub Actions.
• Kubernetes & Container Orchestration: Manage Google Kubernetes Engine (GKE) clusters, ensuring optimal performance, service mesh reliability, and automated lifecycle management. Deliver deployment to a production OpenShift cluster and provide support.
• Infrastructure as Code (IaC): Treat everything as code - author and maintain modular, reproducible infrastructure and configuration using Terraform and modern configuration management.
• High Availability & Zero Downtime: Ensure maximum resilience, fault tolerance, multi-zone/multi-region disaster recovery, and continuous delivery for 24⁄7 financial risk systems.
• Observability & Reliability: support monitoring topics (metrics, logs, traces) using Prometheus, Grafana, OpenTelemetry, and GCP Cloud Operations.
• Collaboration: Collaborate closely with developers, platform teams, architects, and security specialists

Your Profile & Qualifications:

• Cloud Engineering (GCP): Deep, hands-on architectural and operational expertise across the GCP ecosystem (IAM, VPC, Compute Engine, GKE, Secret Manager etc.) backed by multiple years of production experience.
• GitOps & CI/CD: Proven track record implementing declarative GitOps pipelines with ArgoCD and building scalable, secure delivery workflows using GitHub Actions.
• Containerization & Orchestration: Strong production experience with Kubernetes (GKE preferred), container runtimes, Helm, Kustomize, and container security.
• Infrastructure as Code: Proficiency with Terraform in collaborative enterprise environments.
• Advanced AI Competency: Strong understanding and active adoption of modern AI/GenAI technologies.
• System Internals & Scripting: Strong proficiency in Linux fundamentals, systems engineering, and automation scripting (Python, Bash, or Go).
• Reliability Mindset: Demonstrated experience architecting and operating mission-critical systems with strict SLAs, low latency, and zero-downtime requirements.

Desirable / Nice to Have:

• Relevant GCP certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional Cloud DevOps Engineer).
• Experience with Service Mesh architecture (Istio / Anthos Service Mesh) and zero-trust security models.
• Familiarity with modern observability frameworks, ideally with Grafana Cloud.
• Prior exposure to financial market infrastructure, trading/clearing platforms, or quantitative risk management systems.

WEB

• title=Senior DevOps Engineer in Risk
• job=devops

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

HEY THERE!

We are Mercedes-Benz.io. Our mission is to ignite and build digital solutions for Mercedes-Benz by bringing together a tribe of digital enthusiasts who drive the digital future of mobility.

We believe flexibility and collaboration go hand in hand. With offices in Lisbon and Braga, we offer a flexible hybrid setup, with an average of one day per week in the office. This allows for meaningful in-person collaboration while maintaining the flexibility to work in a way that best supports you and your team.

We do not care about your shoes, as long as you bring the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitise for the sake of being digital, but to create real value. We reflect, challenge the status quo, and stand up for each other. This is why we hire people who want to make an impact.

ABOUT THE TEAM

Talent Acquisition sits at the heart of Mercedes-Benz.io’s reinvention journey. As MB.io evolves into an AI-native organization, the team helps build the workforce of the future by attracting, identifying, and enabling the capabilities needed for our next chapter, while supporting both external hiring and internal talent mobility.

IN THIS ROLE YOU WILL

• Partner closely with hiring managers and business leaders to understand hiring needs, define recruitment strategies, and align on interview and assessment criteria.

• Manage end-to-end recruitment processes, including sourcing, screening, interviewing, candidate relationship management, and offer coordination, while delivering a positive and inclusive candidate experience.

• Identify current and future capability needs across the business, particularly in AI, software engineering, product, and digital domains, helping shape workforce and hiring strategies.

• Drive Talent Acquisition as an AI-enabled discipline by leveraging automation, AI-powered talent intelligence, and analytics to improve candidate quality, hiring speed, and overall recruitment outcomes.

• Support internal mobility, reskilling, and talent transformation initiatives, helping employees transition into future-focused opportunities and career paths.

• Strengthen Mercedes-Benz.io’s position as a leading technology employer through employer branding, partnerships, community engagement, career events, and future-skills initiatives.

Requirements

TO SUCCEED YOU NEED

• Proven experience in Talent Acquisition, ideally within a software, product, digital, or automotive IT environment.

• Hands-on experience managing full-cycle recruitment processes for product and engineering roles, alongside selected non-technical positions.

• Experience recruiting technical talent, including software engineering, data, cloud, or AI-related profiles. Experience hiring for AI-native or emerging technology domains is highly valued.

• Demonstrated curiosity and hands-on experience using AI tools to enhance sourcing, candidate engagement, research, and recruitment effectiveness.

• Proficiency in recruitment tools and platforms, including Applicant Tracking Systems, sourcing platforms, technical assessment tools, and LinkedIn Recruiter.

• Strong stakeholder management skills, with the ability to advise hiring managers, foster collaboration, and influence hiring outcomes.

• Excellent communication skills in English, both written and spoken, with the ability to build strong relationships with candidates and stakeholders.

• A strong interest in workforce transformation, future skills, and how AI and emerging technologies are shaping the future of talent acquisition.

YOU WILL BE HAPPY WITH

• Flexible hybrid work model

• Open source software

• No top‑down hierarchy. We trust in your self‑organization

• Colleagues who are smart, driven, and collaborative

• An open‑minded and informal culture backed by a global brand

• Health insurance and life insurance

• Proactive self‑development through international trainings and conferences

• Brand Connection perks

• Much more cool stuff

THIS IS WHAT OUR PROCESS LOOKS LIKE

• Screening Call with our recruiter

• Technical Interview

• Final Interview

• Offer

WHAT YOU’LL NEED TO KNOW ABOUT US

Mercedes-Benz.io develops software and technology for the digital platforms of Mercedes-Benz. Our main products are the Mercedes-Benz Website worldwide, the e-commerce platform, digital services and aftersales solutions.

We have a fantastic team with people from all over the world. We encourage frequent collaboration and pairing across disciplines. English is the main working language.

Mercedes-Benz.io is an equal opportunities employer. We believe that diverse experiences and a broad collective perspective lead to a better company culture and better products.

Please send your resumé in English and PDF.

About the Team

The APAC team is responsible for bringing OpenAI’s mission, products, and partnerships to life across one of the company’s most strategically important regions. As we scale our presence across Asia-Pacific, we are building a regional operating model that enables strong local execution, consistent global alignment, and long-term impact across businesses, products, markets, and functions.

About the Role

We are looking for a Strategy & Operations Lead to lead and scale operational excellence in Korea. Reporting to the General Manager, Korea, this leader will work hand in hand with the General Manager to translate global strategy into regional execution, ensure operating discipline across markets and functions, and help the business scale with consistency, speed, and rigor.

This person will act as a key bridge between global leadership and regional teams, bringing clarity to priorities, building scalable operating systems, and ensuring the region is set up to deliver against ambitious business goals while keeping the long-term opportunity in mind.

This role is based in Seoul, Korea and we use a hybrid model of 3 days in office.

You’ll be responsible for:

• Defining and implementing the Korea operating strategy in alignment with APAC & global objectives and regional priorities.

• Driving execution across key markets, ensuring consistency while adapting to local needs, regulations, and market dynamics.

• Partnering with global leadership to prioritize initiatives, allocate resources, and ensure strong execution in-region.

• Establishing KPIs, reporting frameworks, and operating cadences to track performance and inform decision-making.

• Building and optimizing scalable processes across business lines, including consumer, product, partnerships, and other key functions.

• Identifying operational gaps and inefficiencies, and implementing continuous improvement initiatives.

• Supporting market entry strategies and operational readiness for Korea

• Enabling strategic partnerships through strong operational frameworks and close partnership with relevant teams.

• Helping build a strong regional functional leadership team and ensuring the regional operating system runs smoothly and efficiently.

• Collaborating closely across functions to drive accountability and deliver against regional goals.

• Ensuring seamless coordination between global and regional stakeholders.

• Acting as a central point of accountability for operational delivery across Korea.

• Building, leading, and mentoring a high-performing regional operations team.

• Fostering a culture of accountability, inclusion, operational rigor, and continuous learning.

• Developing leadership bench strength across key markets and functions.

We’re looking for someone with:

• Significant experience leading regional or international operations in a fast-scaling, complex business environment.

• Strong strategic and operational judgment, with the ability to translate high-level goals into clear execution plans.

• Experience operating across multiple markets, functions, and business lines, ideally within Korea.

• A track record of building scalable operating systems, processes, metrics, and reporting frameworks.

• Strong cross-functional leadership skills and the ability to influence senior stakeholders across global and regional teams.

• Excellent business judgment, with a bias toward action and strong accountability for outcomes.

• Experience supporting market expansion, operational readiness, and/or regional growth initiatives.

• Strong people leadership skills, including experience building and developing high-performing teams.

• Comfort operating in ambiguity and creating structure in fast-moving environments.

• High integrity, low ego, and a collaborative leadership style.

• Strong written and verbal communication skills, with the ability to bring clarity to complex topics.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power.

By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation.

At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone’s voice is heard and contributions are recognised.

We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best.

The Opportunity

An opportunity to join the new logo sales team as a Technical Sales Executive. Reporting to the CRO, you’ll be part of a small team focused on new logo acquisition, with a specific focus on accounts where the buyer or key champion is technical: Data, Engineering, Product or Ecommerce tech leads evaluating how EDITED’s API and MCP server plug into their existing stack.

You’ll still run a full sales cycle end to end. This isn’t a pre-sales or Sales Engineering role, it’s still full-cycle, quota-carrying sales. The difference is who you’re credible in front of on the first call.

What You’ll Be Doing As A Technical Sales Executive

• Develop and deliver compelling presentations and proposals that clearly articulate the value proposition of our solutions to both commercial and technical audiences

• Run early technical conversations, walking a prospect’s Data or Engineering lead through how our API and MCP server work, confidently

• Negotiate and close complex sales deals, working closely with internal teams (legal, finance, P&E) to ensure smooth contract execution

• Develop and deliver outbound activity to target accounts that results in engagement, including technical personas who don’t respond to a standard commercial pitch

• Accurately forecast sales pipeline and revenue on a regular basis

• Maintain up-to-date knowledge of industry trends, competitor activities, customer needs, and how AI/API/MCP capabilities are actually being evaluated by technical buyers

• Conduct in-depth discovery calls and needs assessments to understand clients’ business challenges and objectives

• Build and maintain strong relationships with C-level executives and technical decision-makers within target accounts

• Continually learn and develop with respect to EDITED’s solution, technology, sales techniques and industry news and trends

• Manage the entire sales cycle from lead generation to deal closure, ensuring a positive customer experience throughout

What We’re Looking For In A Technical Sales Executive

Essential:

• Proven track record of success in enterprise sales

• Experience selling complex software, API, data or AI/ML products to large organisations

• Comfortable in technical conversations about integrations, APIs, data pipelines or agentic AI tooling. You don’t need to write code, but you need to not get out of your depth

• The ability and willingness to learn, develop and immerse yourself in the solution

• Deep understanding of the SaaS market and the unique challenges and opportunities it presents

• Exceptional communication and presentation skills, both written and verbal, across commercial and technical audiences

• Highly motivated and results-oriented with a strong sense of urgency

• Willingness to travel within the EMEA region as needed

• Has the ability to accurately gauge, understand and report on where the prospect is within the sales process

Desirable:

• Experience working in the Retail industry

• Background in Sales Engineering, Solutions Consulting or a technical role before moving into sales

What We Offer You As A Technical Sales Executive

We value our team and to attract exceptional people, we offer an excellent package! This year, we were recognised as one of the top companies to work for in the UK.

• At EDITED we are set up to work remotely and can also offer hybrid working via our London and Sofia offices

• Enhanced parental leave policy

• 25 days annual leave + public holidays (and an extra day for every year at EDITED)

• Healthcare via SimplyHealth Cash Plan

• You can utilise our flexible working policy to ensure you can work around your schedule

• Season Ticket Loan & Cycle to Work schemes

• Access to an Employee Assistance Programme

• Employee Referral Programme

• Gifts for work anniversaries and big life events

• Find out more here: https://edited.com/careers/

Apply now and don’t miss the opportunity to join our journey to revolutionise the retail industry!

At EDITED, we do not use AI to source, screen, or make decisions about candidates - every hiring decision is made by our team. We use Ashby, our applicant tracking system, which includes some automation for scheduling interviews and sending routine emails. We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

Melita is an HR, Benefits, and Payroll outsourcing company, serving and building lasting relationships with small and mid-sized employers in the U.S. and abroad. We were founded over 30 years ago on a simple principle: to help our clients succeed by innovating, serving, and supporting their Human Resources, Employee Benefits, and Payroll needs. As a results-driven organization, we hold ourselves accountable for our promises and we celebrate the successes of our clients. We live by a set of shared values that drive everything we do, and we are known for our high-integrity approach to building relationships with our clients and partners.

Position Summary:

The Benefits Analyst is a hybrid role on Melita’s Benefits Analysis (Benefits Marketing) team that combines hands-on client advisory work with the financial and underwriting analysis behind it. You are the person who both builds the numbers and explains them: projecting renewal costs, evaluating carrier proposals, modeling plan and contribution changes, benchmarking against the market, and then presenting clear, well-reasoned recommendations to small and mid-sized business clients.

This is not a sales role. It is, however, a critical position in the client relationship, so the ideal candidate pairs strong analytical ability and deep employee benefits knowledge with the interpersonal and relationship-building skills to advise decision-makers with confidence. You will report to the Director of Benefits Analysis.

Core Responsibilities:

Client Advisory and Presentation

• Analyze and present proposals for a full range of benefit plans and options, including medical, dental, vision, disability, group life, and voluntary benefits, to small and mid-sized business clients.
• Advise and guide clients on benefits package design and employee contribution strategy, aligning recommendations with competitive benchmarks and each company’s goals, culture, and budget.
• Lead client renewal presentations and plan-change discussions, translating complex financial and benefits concepts into clear, actionable guidance for non-technical audiences.

Benefits Analysis and Underwriting

• Own the analysis behind each client’s renewal: budget and renewal projections, rate development, rate-tier and contribution analysis, and plan-change modeling and pricing.
• Benchmark plan designs, contributions, and costs against market data to support your recommendations.
• Produce disruption, network-discount, administration-fee, and fully insured rate analyses when evaluating alternatives.
• For level-funded and self-funded arrangements where applicable, develop claim projections and IBNR reserve estimates and interpret experience reporting.
• Maintain clean, well-documented analytical files that another analyst can pick up and understand.

RFP and Carrier Marketing

• Build and run RFPs to insurance carriers and general agency partners, soliciting renewal and alternative quotes for each line of coverage.
• Review and validate the quotes that come back, then assemble the annual renewal proposal that the client decision rests on.
• Manage relationships with carrier and GA partners to ensure Melita is well-supported, well-informed, and receiving competitive options for our clients.

Renewal-to-Open-Enrollment Handoff

• Work closely with the internal Benefits Support team to drive timely annual renewal decisions and deliver a clean handoff, giving the support team ample time to execute a flawless Open Enrollment for every client.

Tools and Continuous Improvement

• Work fluently in Microsoft Excel, Salesforce, and Melita’s proprietary proposal and analytical tools.
• Contribute to file-documentation standards, process improvements, and the firm’s growing use of AI-enabled automation in analytical work.

Qualifications:

Required Qualifications

• 3+ years in a role that involves small group benefits analysis and/or support.
• Bachelor’s degree.
• Active Life, Accident and Health Producer License, or the willingness and ability to obtain licensing in the relevant states within a defined onboarding period.
• Solid grounding in benefits financial analysis: budget and claim projection, rate development, contribution analysis, and disruption and discount analysis.
• Strong proficiency with Microsoft Excel and comfort working in a CRM (Salesforce) and AI-enabled workflows.
• Strong communication and presentation skills, with the ability to build trusted relationships with client decision-makers.

Preferred Qualifications

• Experience in a brokerage or consulting environment supporting small and mid-sized groups.
• Hands-on experience across fully insured and level-funded (and ideally self-funded) programs.
• Established relationships with carriers and general agency partners.
• Familiarity with ancillary and voluntary benefit product lines.
• Experience leading, mentoring, or coordinating the work of others, including offshore staff.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.