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About Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.

About Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.

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 Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.

Job Title: Member of Technical Staff, Enterprise AI Job Type: Full-time Location: Remote The Role As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems.

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

IT Solutions Engineer – AI, Automation & Cloud, #1111

Clearance: US Citizenship Required; ability to obtain a government clearance if required.

We are looking for an IT Solutions Engineer who wants to do more than keep systems running. This role is for someone who can help reinvent internal IT by building practical automations, improving employee experiences, and using AI-assisted, spec-driven development to turn business needs into reliable solutions.

Our environment spans both Microsoft and AWS in real production use. We are Microsoft-heavy across Microsoft 365, Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and Azure services, while also running multiple production systems, applications, and cloud services in AWS. The successful candidate needs to move comfortably between at least these two clouds and choose the right platform, tool, or service for the problem at hand.

This is a hands-on role for someone who likes solving messy problems, learning quickly, documenting what they build, and delivering tools people actually use. You will support core IT operations, but the bigger opportunity is to identify friction in the business and build secure, maintainable solutions that reduce manual effort and help people work better.

What You’ll Do

• Build useful internal tools, automations, workflows, scripts, and lightweight applications that improve how employees work.

• Use spec-driven development practices to clarify the problem, define expected behavior, document assumptions, and deliver maintainable solutions.

• Use AI tools responsibly to accelerate research, solution design, development, troubleshooting, documentation, and iteration.

• Improve and extend our Microsoft 365 environment, especially Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and related services.

• Work interchangeably across Microsoft/Azure and AWS environments, including production systems, applications, APIs, source control, CI/CD, infrastructure automation, monitoring, identity, and security controls.

• Partner with business users to understand pain points, prioritize high-value opportunities, and deliver solutions people will actually adopt.

• Help keep IT operations secure, reliable, documented, and aligned with compliance needs such as CMMC, ISO 27001, and ISO 20000.

Required Skills and Experience

• Minimum of a Bachelor’s and 3+ years of hands-on experience supporting Microsoft 365, endpoint management, identity, collaboration tools, or modern IT operations.

• Experience building automations, workflows, scripts, integrations, internal tools, or low-code solutions.

• Comfort moving between Microsoft/Azure and AWS environments, with the judgment to understand where each platform fits and how to support production workloads responsibly.

• Ability to turn ambiguous requests into clear specifications, working prototypes, tested solutions, and practical documentation.

• Responsible use of AI-assisted tools for research, development, troubleshooting, documentation, and continuous learning.

• Strong troubleshooting, communication, documentation, and user empathy.

• Familiarity with security, access control, least privilege, audit evidence, and compliance-conscious operations.

Preferred Skills and Experience

• Power Platform, Microsoft Graph, PowerShell, Python, JavaScript, REST APIs, or similar development experience.

• Amazon Kiro, Microsoft Copilot, GitHub Copilot, ChatGPT, Copilot Studio, Azure AI, OpenAI-based tools, or AI-powered internal assistants.

• Hands-on experience with AWS services such as IAM, Lambda, S3, CloudWatch, CloudFormation, ECS, API Gateway, or related production operations; familiarity with AWS GovCloud and Microsoft GCC High; plus common Infrastructure as Code tools.

• GitHub, GitLab, source control, CI/CD, DevOps practices, or repeatable deployment approaches.

• Government contracting, CMMC Level 2, ISO 27001, ISO 20000, NIST SP 800-171, or other regulated/security-conscious environments.

You Might Be a Fit If

You see a manual process and immediately start thinking about how to improve it. You are comfortable supporting systems, but you also want to build things, simplify things, and help people work better.

You are curious, practical, and self-directed. You can learn an unfamiliar environment, talk with users, write down what good looks like, build a solution, test it, document it, and keep improving it.

You are excited by AI because it changes how technical work gets done, but you also understand that internal solutions must be secure, reliable, supportable, and aligned with company policies.

Why This Role Matters

Internal technology should make work easier, not harder. This role helps us get more leverage from Microsoft 365, Azure, AWS, AI, automation, and other platforms so IT can become a more proactive engineering partner to the business.

The estimated salary range for this position is $65,600-$120,000. This salary range is not a guarantee of compensation. The offered salary will be based on factors including relevant experience, geographic location, internal equity, and applicable contractual requirements. *Compensation may fall outside this range when appropriate.

Who We Are

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

• Generous and flexible time-off policy
• Flexible work schedules and telework options, including remote work availability for eligible projects
• Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
• Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
• 401K matching with a 5% matching contribution
• Regular team and company social events including our annual party, happy hours, fitness challenges, and more
• A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
• To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

• Support the responsible integration of artificial intelligence into educational and operational business processes
• Design, develop, test, and deploy AI-driven solutions and process automations
• Conduct AI readiness assessments for proposed use cases
• Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
• Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
• Develop technical supplements to enterprise AI governance frameworks, including:
  • AI tool evaluation and adoption criteria
  • Model performance monitoring and evaluation protocols
  • AI risk and control requirements
  • AI incident detection and response procedures
  • Human oversight and escalation mechanisms
• Design and implement AI-enabled business process automations using Government-authorized platforms such as:
  • Power Automate
  • Power Apps
  • Copilot Studio
  • Comparable workflow and intelligent automation platforms
• Develop AI-enabled solutions through established solution delivery processes, including:
  • Intake and requirements assessment
  • Solution design
  • Prototype development
  • Testing and validation
  • Security and governance review
  • Production deployment
  • Post-deployment monitoring
• Build and maintain AI agents and agent-enabled workflows
• Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
• Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
• Develop and maintain automated workflows incorporating AI or machine learning components
• Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
• Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
• Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
• Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
• Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
• Develop AI-enabled analytics capabilities including:
  • Predictive modeling
  • Forecasting
  • Natural-language query
  • Classification and anomaly detection
  • Decision-support capabilities
• Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
• Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
• Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
• Establish and maintain model performance metrics and monitoring processes
• Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
• Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
• Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
• Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
• Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
• Support change management and adoption efforts for AI-enabled processes
• Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

• Experience designing, developing, evaluating, or implementing AI/ML solutions
• Experience with responsible AI frameworks, governance, or risk-management practices
• Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
• Python proficiency
• Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
• Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
• Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
• Experience developing prototypes, proofs of concept, or production AI-enabled applications
• Familiarity with model evaluation, performance measurement, and monitoring approaches
• Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with technical and non-technical stakeholders
• Ability to translate operational needs into practical AI-enabled solutions
• Active Secret clearance

Preferred Qualifications

• Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
• Experience developing or implementing AI governance frameworks
• Experience with generative AI and large language models
• Experience building AI agents or agentic workflows
• Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
• Experience developing intelligent document processing solutions
• Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
• Experience with Power Platform technologies, including Power Apps and Power Automate
• Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
• Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
• Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
• Experience supporting AI procurement, technology selection, or pilot programs
• Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
• Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

• Support the responsible integration of artificial intelligence into educational and operational business processes
• Design, develop, test, and deploy AI-driven solutions and process automations
• Conduct AI readiness assessments for proposed use cases
• Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
• Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
• Develop technical supplements to enterprise AI governance frameworks, including:
  • AI tool evaluation and adoption criteria
  • Model performance monitoring and evaluation protocols
  • AI risk and control requirements
  • AI incident detection and response procedures
  • Human oversight and escalation mechanisms
• Design and implement AI-enabled business process automations using Government-authorized platforms such as:
  • Power Automate
  • Power Apps
  • Copilot Studio
  • Comparable workflow and intelligent automation platforms
• Develop AI-enabled solutions through established solution delivery processes, including:
  • Intake and requirements assessment
  • Solution design
  • Prototype development
  • Testing and validation
  • Security and governance review
  • Production deployment
  • Post-deployment monitoring
• Build and maintain AI agents and agent-enabled workflows
• Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
• Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
• Develop and maintain automated workflows incorporating AI or machine learning components
• Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
• Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
• Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
• Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
• Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
• Develop AI-enabled analytics capabilities including:
  • Predictive modeling
  • Forecasting
  • Natural-language query
  • Classification and anomaly detection
  • Decision-support capabilities
• Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
• Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
• Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
• Establish and maintain model performance metrics and monitoring processes
• Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
• Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
• Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
• Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
• Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
• Support change management and adoption efforts for AI-enabled processes
• Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

• Experience designing, developing, evaluating, or implementing AI/ML solutions
• Experience with responsible AI frameworks, governance, or risk-management practices
• Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
• Python proficiency
• Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
• Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
• Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
• Experience developing prototypes, proofs of concept, or production AI-enabled applications
• Familiarity with model evaluation, performance measurement, and monitoring approaches
• Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with technical and non-technical stakeholders
• Ability to translate operational needs into practical AI-enabled solutions
• Active Secret clearance

Preferred Qualifications

• Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
• Experience developing or implementing AI governance frameworks
• Experience with generative AI and large language models
• Experience building AI agents or agentic workflows
• Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
• Experience developing intelligent document processing solutions
• Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
• Experience with Power Platform technologies, including Power Apps and Power Automate
• Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
• Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
• Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
• Experience supporting AI procurement, technology selection, or pilot programs
• Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
• Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

• Identify where agents can help and build them accordingly.

• Work with department leads to assess AI needs.

• Help connect agents to appropriate third-party and internal tools.

• Measure results and remove agents that don’t deliver.

• Test new tools and models as they ship and adopt what works.

• Advise others on AI capabilities to help them perform.

Requirements

• Experience building agents that run on their own and do meaningful work

• Strong with Grok, Claude, OpenAI, and open source

• Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

• Writes clearly in English

Compensation

1. Salary: $150,000–$250,000 USD

2. $20,000 signing bonus

3. 4 weeks vacation + country-specific holidays

4. Fully remote

It’s a new day with a new opportunity at 8am!

About the role:

8am is looking for a technically-minded, senior individual contributor to drive new CX roadmap initiatives and automation from idea through delivered, working systems. This is a hands-on builder role, you scope ambiguous, early-stage ideas from stakeholders across CX, BI, Sales, and Marketing into concrete, buildable project plans, then personally build the automation, workflow, or integration that brings each one to life.

You bring the same technical depth to new builds as to existing systems: when a workflow underperforms, you know why, and you can write the ticket or rebuild the logic yourself. But the core of this role is forward-looking, identifying where new automation and AI can create leverage across the CX org, scoping it, and shipping it. You partner directly with Business Systems and Engineering on infrastructure-level builds, and with BI, Customer Operations, Sales, Finance, and Marketing to make sure new projects solve the right cross-functional problem from the start.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you’ll do:

• Identify where new automation and AI can create leverage across the CX org, and scope early-stage ideas from stakeholders across CX into concrete, buildable project plans
• Partner directly with Business Systems and Engineering on infrastructure-level builds for new initiatives, ensuring new projects solve the right cross-functional problem from the start
• Bring technical depth to existing systems (e.g. Salesforce, Intercom) as needed, diagnosing underperforming workflows, writing developer-ready tickets, and rebuilding automation or routing logic when required
• Partner with Enablement to increase adoption of new workflows and automations, training, documentation, and change management for end users
• Convert CX data (NPS/CSAT, retention, support and success metrics) into actionable recommendations for leadership
• Maintain clear, current visibility into initiative status, risks, and dependencies for stakeholders, surfacing issues before they escalate
• Operate as a self-directed driver on assigned initiatives, surfacing blockers and aligning stakeholders without needing to be chased

About you:

• 4-6+ years of experience in Customer Success/Experience Operations, Revenue Operations, or Business Operations
• Demonstrated ownership of a program or metric outcome, not process facilitation alone, in a B2B SaaS environment
• Proficiency with Salesforce and Intercom as an advanced user, able to build reports, dashboards, in-app messaging, surveys, and workflow automations
• Self-directed and outcome-driven, able to move roadmap projects forward without heavy oversight
• Strong written and verbal communication skills
• Comfort operating within evolving or undefined processes
• Preferred: Salesforce Administrator certification, Intercom experience, survey-building tools (e.g., Delighted, Qualtrics, or similar), in-app messaging platforms, hands-on experience applying AI tools to operational workflows. SQL or BI tool proficiency.
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.

Additional Information The annual salary range for this position is $90,000 to $110,000. The salary range for performing this role outside of the US / Austin / California may differ.  8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am:

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.

Here’s how we support our 8Team:

• Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees.
• Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members.
• Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents.
• Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching.
• Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development.
• Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually).
• Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform.

At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day.

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

• Identify where agents can help and build them accordingly.

• Work with department leads to assess AI needs.

• Help connect agents to appropriate third-party and internal tools.

• Measure results and remove agents that don’t deliver.

• Test new tools and models as they ship and adopt what works.

• Advise others on AI capabilities to help them perform.

Requirements

• Experience building agents that run on their own and do meaningful work

• Strong with Grok, Claude, OpenAI, and open source

• Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

• Writes clearly in English

Compensation

1. Salary: $150,000–$250,000 USD

2. $20,000 signing bonus

3. 4 weeks vacation + country-specific holidays

4. Fully remote

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.

This position is remote within the United States with up to 10% travel as needed.

What You Will Do

• Lead the Business Systems and Analytics team on advanced data projects
• Partner with internal customers to gather end-to-end AI requirements, issues, and scope of complex projects
• Partner with business leaders to identify and prioritize AI opportunities
• Develop AI roadmaps aligned with organizational goals and technology strategy.
• Evaluate emerging AI technologies, platforms, and industry trends
• Provide guidance on responsible AI, governance, compliance, and risk management and establish architecture standards, patterns, and reference frameworks for AI initiatives
• Design end-to-end AI architectures including data ingestion, model development, deployment, monitoring, and governance

Technical Skills

• Data Engineering: ETL development and MySQL
• Analytics: Descriptive and predictive analytics development, plus semantic layer design
• Documentation: Markdown file creation with YAML headers
• Content/Knowledge Management: OKF/Wiki design and implementation
• Programming: Python required; HTML/CSS/JavaScript a plus

What We Are Looking For

• 8+ years of related experience in business intelligence, data engineering or related experience
• Excellent planning, organizational, and project management skills
• Proven independent decision-making, analytical, and problem-solving abilities
• Outstanding verbal and written communication skills, including presentation and public speaking
• Ability to build and maintain partnerships and relationships at all levels
• Consultative skills with the ability to resolve complex issues effectively
• Excellent interpersonal, negotiation, and conflict-resolution skills, with the ability to deliver difficult messages effectively

What Will Set You Apart

• Bachelor’s Degree in a related field
• Working fluency within Domo, Claude and/or Cursor

The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.

What You’ll Gain as a #TeamSchein Member

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.

This position is remote within the United States with up to 10% travel as needed.

What You Will Do

• Lead the Business Systems and Analytics team on advanced data projects
• Partner with internal customers to gather end-to-end AI requirements, issues, and scope of complex projects
• Partner with business leaders to identify and prioritize AI opportunities
• Develop AI roadmaps aligned with organizational goals and technology strategy.
• Evaluate emerging AI technologies, platforms, and industry trends
• Provide guidance on responsible AI, governance, compliance, and risk management and establish architecture standards, patterns, and reference frameworks for AI initiatives
• Design end-to-end AI architectures including data ingestion, model development, deployment, monitoring, and governance

Technical Skills

• Data Engineering: ETL development and MySQL
• Analytics: Descriptive and predictive analytics development, plus semantic layer design
• Documentation: Markdown file creation with YAML headers
• Content/Knowledge Management: OKF/Wiki design and implementation
• Programming: Python required; HTML/CSS/JavaScript a plus

What We Are Looking For

• 8+ years of related experience in business intelligence, data engineering or related experience
• Excellent planning, organizational, and project management skills
• Proven independent decision-making, analytical, and problem-solving abilities
• Outstanding verbal and written communication skills, including presentation and public speaking
• Ability to build and maintain partnerships and relationships at all levels
• Consultative skills with the ability to resolve complex issues effectively
• Excellent interpersonal, negotiation, and conflict-resolution skills, with the ability to deliver difficult messages effectively

What Will Set You Apart

• Bachelor’s Degree in a related field
• Working fluency within Domo, Claude and/or Cursor

The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.

What You’ll Gain as a #TeamSchein Member

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Lead, GTM Engineering and Architecture to drive the technical vision, design, and implementation of our next-generation systems, automations, and AI-powered workflows for our go-to-market teams. Reporting to senior leadership, you will lead technical initiatives across Salesforce, Agentforce, Workato, Zapier, Claude Code, and the broader GTM technology stack to architect scalable, enterprise-grade solutions.

This is a strategic leadership and hands-on builder role. You will partner with leadership across Sales, Marketing, Customer Success, Support, Finance, and Revenue Operations to define the technical roadmap, identify process bottlenecks, and design architectural frameworks. The right person will have an expert-level Salesforce foundation, extensive development credentials, deep experience with scalable architecture, a strong vision for how AI transforms GTM operations, and a passion for mentoring technical talent.

What You’ll Do:

• Architect and Lead: Design the enterprise architecture for our go-to-market systems and lead the implementation of AI-powered workflows and agents using Salesforce Agentforce.
• Advanced Development: Architect, build, and oversee advanced Salesforce solutions using Flow, Apex, custom objects, APIs, and other platform capabilities.
• Scalable Design: Drive scalable system design using object-oriented programming principles and enterprise architecture best practices.
• Integration Strategy: Own the strategy and technical delivery of integrations across the GTM stack using middleware (Workato, Zapier), APIs, and webhooks.
• AI Integration: Leverage Claude Code and other AI development tools to rapidly prototype, build, test, and troubleshoot complex solutions.
• Data Modeling: Design enterprise data models and advanced scoring layers for customer propensity, ICP attribution, and complex lead/account scoring.
• Strategic Partnership: Collaborate directly with GTM leadership to map strategic business goals to technical requirements and system designs.
• Mentorship: Mentor and provide technical guidance to GTM engineers and administrators, establishing best practices for code reviews, sprint planning, documentation, testing, and deployment cycles.

Required Qualifications:

• 7+ years of experience in GTM Engineering, Business Systems Architecture, or a similar advanced technical role.
• Expert-level, hands-on Salesforce architecture experience, including complex data modeling, API integrations, advanced automation, and security frameworks.
• Proven experience leading technical projects and architecting solutions across a multi-platform GTM tech stack.
• Deep expertise in object-oriented programming (Apex, Python, JavaScript) and modular design.
• Extensive experience building enterprise integrations using Workato, Zapier, JSON, REST APIs, and middleware.
• Experience designing or configuring advanced AI solutions (e.g., Salesforce Agentforce).
• Strong strategic problem-solving skills and the ability to translate ambiguous executive requirements into technical blueprints.
• Excellent technical communication and documentation skills, with a track record of driving system adoption.

Preferred Qualifications:

• Salesforce Architect certifications (e.g., Application Architect, System Architect).
• Deep expertise in Salesforce Data Cloud, Revenue Cloud, and Service Cloud.
• Advanced experience with Model Context Protocol, tool calling, retrieval-augmented generation (RAG), or semantic search.
• Experience implementing strict CI/CD pipelines using Git, Gearset, Salesforce CLI, or similar tools.
• Advanced knowledge of GTM platforms such as Clay, LeanData, Gainsight, ZoomInfo, 6sense, or Clari.
• Experience managing signal-based selling strategies and propensity modeling at an enterprise scale.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $200,000 - $220,00 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Lead, GTM Engineering and Architecture to drive the technical vision, design, and implementation of our next-generation systems, automations, and AI-powered workflows for our go-to-market teams. Reporting to senior leadership, you will lead technical initiatives across Salesforce, Agentforce, Workato, Zapier, Claude Code, and the broader GTM technology stack to architect scalable, enterprise-grade solutions.

This is a strategic leadership and hands-on builder role. You will partner with leadership across Sales, Marketing, Customer Success, Support, Finance, and Revenue Operations to define the technical roadmap, identify process bottlenecks, and design architectural frameworks. The right person will have an expert-level Salesforce foundation, extensive development credentials, deep experience with scalable architecture, a strong vision for how AI transforms GTM operations, and a passion for mentoring technical talent.

What You’ll Do:

• Architect and Lead: Design the enterprise architecture for our go-to-market systems and lead the implementation of AI-powered workflows and agents using Salesforce Agentforce.
• Advanced Development: Architect, build, and oversee advanced Salesforce solutions using Flow, Apex, custom objects, APIs, and other platform capabilities.
• Scalable Design: Drive scalable system design using object-oriented programming principles and enterprise architecture best practices.
• Integration Strategy: Own the strategy and technical delivery of integrations across the GTM stack using middleware (Workato, Zapier), APIs, and webhooks.
• AI Integration: Leverage Claude Code and other AI development tools to rapidly prototype, build, test, and troubleshoot complex solutions.
• Data Modeling: Design enterprise data models and advanced scoring layers for customer propensity, ICP attribution, and complex lead/account scoring.
• Strategic Partnership: Collaborate directly with GTM leadership to map strategic business goals to technical requirements and system designs.
• Mentorship: Mentor and provide technical guidance to GTM engineers and administrators, establishing best practices for code reviews, sprint planning, documentation, testing, and deployment cycles.

Required Qualifications:

• 7+ years of experience in GTM Engineering, Business Systems Architecture, or a similar advanced technical role.
• Expert-level, hands-on Salesforce architecture experience, including complex data modeling, API integrations, advanced automation, and security frameworks.
• Proven experience leading technical projects and architecting solutions across a multi-platform GTM tech stack.
• Deep expertise in object-oriented programming (Apex, Python, JavaScript) and modular design.
• Extensive experience building enterprise integrations using Workato, Zapier, JSON, REST APIs, and middleware.
• Experience designing or configuring advanced AI solutions (e.g., Salesforce Agentforce).
• Strong strategic problem-solving skills and the ability to translate ambiguous executive requirements into technical blueprints.
• Excellent technical communication and documentation skills, with a track record of driving system adoption.

Preferred Qualifications:

• Salesforce Architect certifications (e.g., Application Architect, System Architect).
• Deep expertise in Salesforce Data Cloud, Revenue Cloud, and Service Cloud.
• Advanced experience with Model Context Protocol, tool calling, retrieval-augmented generation (RAG), or semantic search.
• Experience implementing strict CI/CD pipelines using Git, Gearset, Salesforce CLI, or similar tools.
• Advanced knowledge of GTM platforms such as Clay, LeanData, Gainsight, ZoomInfo, 6sense, or Clari.
• Experience managing signal-based selling strategies and propensity modeling at an enterprise scale.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $200,000 - $220,00 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Principal Software Architect to lead the system design of our agentic AI capabilities and serve as a technical anchor for engineering teams building the next generation of our platform. This is an individual contributor role reporting to the Chief Architect, alongside a Front-end Architect and a Data-focused Architect, and partnering closely with engineering leadership, Product, and Data Science.

We’re looking for someone who can go deep technically and also move a room: an architect whose designs get adopted because they’re well-reasoned and well-communicated, not just handed down.

You will lead the system design for how agentic features are built, integrated, and operated reliably at production scale, working in close partnership with our Data Science team, who bring the model and ML depth. Your focus is the system: orchestration, state and memory, tool boundaries, failure semantics, and how all of it composes with the wider platform.

Like the rest of our architecture function, you’ll prototype to prove out decisions rather than implement full solutions, and you’ll set direction through Technical Design Reviews (TDRs), and standards. Deep data-engineering specialization isn’t required, but you should be comfortable reasoning about data flows, storage decisions, and how agentic systems consume and act on data.

What You’ll Do

• Own the system design for our agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
• Write the TDRs, design docs, and standards that set architectural direction for agentic work across teams
• Prototype to validate architectural decisions before teams commit to them at scale
• Partner with Data Science so that agent and model work composes cleanly with existing platform services, from APIs and event streaming through to storage
• Review TDRs from across engineering, giving teams substantive feedback on architecture and risk, not only on AI work
• Build consensus across engineering teams and get them genuinely aligned, not merely compliant
• Help drive the shift to AI-assisted and agentic development across engineering, shaping how engineers design, review, and iterate in an AI-native workflow
• Mentor senior and staff engineers on agentic system design and measurably elevate the technical bar
• Communicate architectural decisions and their trade-offs clearly to executives and customers

Required Qualifications:

• 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
• Deep expertise in distributed systems: service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
• Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, not just demos: agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
• Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch, sufficient to make informed architectural calls without deep specialization in the domain
• A track record of influence without authority: presenting a technical direction to skeptical engineers and earning genuine buy-in, and giving rigorous design review feedback on systems you didn’t build yourself
• Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding, plus a history of raising the technical bar around you
• Ability to communicate complex architectural decisions clearly to executives and customers
• Comfort operating as a senior individual contributor, driving outcomes through prototyping and technical credibility

Preferred Qualifications:

• Familiarity with multi-agent orchestration patterns (supervisor and sub-agent architectures, agent handoffs), which our use cases are likely to grow toward
• Experience with our stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
• Experience leading AI-assisted or agentic development adoption across an engineering organization; given the scope of this work at SecurityScorecard, this carries significant weight
• Experience partnering closely with data science or ML teams on productionizing their work
• Cybersecurity industry background

Our Tech Stack

Our platform runs on Node.js and TypeScript, with a React Microfrontend Architecture and PostgreSQL and ClickHouse for storage. We use Kafka for event streaming, and our infrastructure runs on AWS with Kubernetes, Terraform, Helm, and ArgoCD. We are actively expanding our AI/ML infrastructure. You do not need to have used every tool here, but you should be comfortable reasoning across a stack of this kind and making principled architectural trade-offs within it.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $270,000 - $330,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What You’ll Be Doing:

Reporting to the Sr. Director of Marketing Operations, this role will focus on designing, building, and operationalizing agentic outbound systems that improve pipeline generation efficiency and seller productivity.

Core Objectives:

Build Agentic Outbound Systems

• Design and deploy AI outbound workflows that automate account sourcing, contact acquisition, research, prioritization, personalization, sequencing, and engagement orchestration.

Operationalize AI at Scale

• Move beyond isolated AI experiments by building repeatable, production-ready workflows that integrate across Salesforce, Marketo, Clay, sequencing platforms, enrichment providers, and engagement tools.

Improve Outbound Efficiency

• Reduce manual BDR work through automation while increasing outbound quality, targeting precision, personalization, and activity scalability.

Accelerate Pipeline Generation

• Support the evolution of JumpCloud’s outbound programs through AI targeting, signal-based prioritization, automated enrichment, and intelligent workflow orchestration.

Ship Fast and Iterate

• Rapidly prototype, deploy, measure, and improve GTM workflows with a strong bias toward execution and measurable business impact.

We’re Looking For:

A highly technical GTM operator who enjoys building systems, automations, and workflows that solve real revenue problems. This person thrives in fast-moving environments, is comfortable working across both strategy and execution, and prefers shipping solutions over discussing hypotheticals.

Success in this role is measured by deployed workflows and operational improvements that increase outbound efficiency, pipeline generation, or seller productivity.

Required Qualifications:

GTM Systems & Operations

• Hands-on experience working within modern GTM systems including Salesforce, Marketo, Gong Engage, enrichment providers, and outbound engagement platforms.

• Experience building and maintaining workflows across tools such as Clay, Openprise, Zapier, Replit, or similar orchestration platforms.

• Strong understanding of outbound operations, lead/account flows, enrichment strategies, segmentation, and GTM data management.

• In-depth understanding of how MCPs work and demonstrated experience applying best practices for MCP utilization and efficiency.

AI & Automation

• Practical experience applying AI and automation to GTM workflows beyond experimentation.

• Experience working with LLMs (preferably Claude Cowork & Code), prompt workflows, structured outputs, AI-assisted personalization, and integrating AI outputs into operational systems.

• Familiarity with APIs, automation logic, webhooks, and lightweight scripting to connect systems and automate processes.

• Understanding of concepts such as agentic workflows, signal-based automation, RAG, embeddings, or AI orchestration frameworks is a plus.

Builder Mentality

• Proven ability to independently build and operationalize workflows from idea → deployment → iteration.

• Comfortable using no-code, low-code, and lightweight coding approaches to deliver solutions quickly.

• Strong troubleshooting mindset with the ability to identify bottlenecks and improve workflow reliability at scale.

Cross-Functional Collaboration

• Ability to partner effectively with Marketing, Sales, RevOps, and Data teams to align priorities and execute quickly.

• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Operating Style

• Highly self-directed and execution-oriented with a strong bias toward action.

• Comfortable operating in ambiguity and iterating quickly as priorities evolve.

• Motivated by solving operational problems and building systems that create measurable business impact.

#LI-YA1

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role.

Language:

JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud®’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®.  Please note JumpCloud® is not accepting third party resumes at this time.

JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Principal Software Architect to lead the system design of our agentic AI capabilities and serve as a technical anchor for engineering teams building the next generation of our platform. This is an individual contributor role reporting to the Chief Architect, alongside a Front-end Architect and a Data-focused Architect, and partnering closely with engineering leadership, Product, and Data Science.

We’re looking for someone who can go deep technically and also move a room: an architect whose designs get adopted because they’re well-reasoned and well-communicated, not just handed down.

You will lead the system design for how agentic features are built, integrated, and operated reliably at production scale, working in close partnership with our Data Science team, who bring the model and ML depth. Your focus is the system: orchestration, state and memory, tool boundaries, failure semantics, and how all of it composes with the wider platform.

Like the rest of our architecture function, you’ll prototype to prove out decisions rather than implement full solutions, and you’ll set direction through Technical Design Reviews (TDRs), and standards. Deep data-engineering specialization isn’t required, but you should be comfortable reasoning about data flows, storage decisions, and how agentic systems consume and act on data.

What You’ll Do

• Own the system design for our agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
• Write the TDRs, design docs, and standards that set architectural direction for agentic work across teams
• Prototype to validate architectural decisions before teams commit to them at scale
• Partner with Data Science so that agent and model work composes cleanly with existing platform services, from APIs and event streaming through to storage
• Review TDRs from across engineering, giving teams substantive feedback on architecture and risk, not only on AI work
• Build consensus across engineering teams and get them genuinely aligned, not merely compliant
• Help drive the shift to AI-assisted and agentic development across engineering, shaping how engineers design, review, and iterate in an AI-native workflow
• Mentor senior and staff engineers on agentic system design and measurably elevate the technical bar
• Communicate architectural decisions and their trade-offs clearly to executives and customers

Required Qualifications:

• 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
• Deep expertise in distributed systems: service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
• Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, not just demos: agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
• Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch, sufficient to make informed architectural calls without deep specialization in the domain
• A track record of influence without authority: presenting a technical direction to skeptical engineers and earning genuine buy-in, and giving rigorous design review feedback on systems you didn’t build yourself
• Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding, plus a history of raising the technical bar around you
• Ability to communicate complex architectural decisions clearly to executives and customers
• Comfort operating as a senior individual contributor, driving outcomes through prototyping and technical credibility

Preferred Qualifications:

• Familiarity with multi-agent orchestration patterns (supervisor and sub-agent architectures, agent handoffs), which our use cases are likely to grow toward
• Experience with our stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
• Experience leading AI-assisted or agentic development adoption across an engineering organization; given the scope of this work at SecurityScorecard, this carries significant weight
• Experience partnering closely with data science or ML teams on productionizing their work
• Cybersecurity industry background

Our Tech Stack

Our platform runs on Node.js and TypeScript, with a React Microfrontend Architecture and PostgreSQL and ClickHouse for storage. We use Kafka for event streaming, and our infrastructure runs on AWS with Kubernetes, Terraform, Helm, and ArgoCD. We are actively expanding our AI/ML infrastructure. You do not need to have used every tool here, but you should be comfortable reasoning across a stack of this kind and making principled architectural trade-offs within it.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $240,000 - $300,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI