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Lead a team of AI/ML engineers to design, build, and deliver enterprise GenAI and ML solutions while serving as primary technical advisor to C-level clients.
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?
Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.
This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.
Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.
As the AI Team Lead, you will:
What would make you a fit for the role:
It would also be a plus if you match some of the following:
Being a part of the Netcompany team, you will be provided with:
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
Lead enterprise clients through AI governance assessments, design governance frameworks and operating models, and establish AI risk management policies and approval processes.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.
Core Responsibilities
Client Delivery & Execution
Client Leadership & Account Growth
Thought Leadership & Practice Development
Required Qualifications
Preferred Qualifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Leads AI/ML engineering teams delivering GenAI and ML solutions to enterprise clients, advises senior stakeholders on AI adoption strategies, and oversees end-to-end pipeline architecture and implementation.
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?
Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.
This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.
Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.
As the AI Team Lead, you will:
What would make you a fit for the role:
It would also be a plus if you match some of the following:
Being a part of the Netcompany team, you will be provided with:
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
Lead enterprise clients through AI governance assessments, design governance frameworks and operating models, and establish policies for responsible AI deployment at scale.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.
Core Responsibilities
Client Delivery & Execution
Client Leadership & Account Growth
Thought Leadership & Practice Development
Required Qualifications
Preferred Qualifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Designs and manages AI agent infrastructure on Amazon Bedrock, including orchestration, retrieval pipelines, security controls, and tools for team-wide AI feature deployment.
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.)
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.
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.
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.
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.
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.
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.
Leads AI agent infrastructure and orchestration on Amazon Bedrock, building data retrieval pipelines, security models, and platform abstractions for autonomous systems.
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.)
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.
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.
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.
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.
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.
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.
Designs and maintains AI agent infrastructure on Amazon Bedrock, including orchestration, data retrieval pipelines, security models, and abstractions for the engineering team.
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.)
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.
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.
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.
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.
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.
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.
Lead the design and implementation of AI solutions across the organization, serving as the bridge between business stakeholders, data teams, and engineers to identify AI opportunities and deliver scalable solutions.
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
Technical Skills
What We Are Looking For
What Will Set You Apart
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.
Leads AI solutions architecture and implementation across the organization, designing end-to-end AI systems, establishing governance standards, and partnering with stakeholders to identify and prioritize AI opportunities.
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
Technical Skills
What We Are Looking For
What Will Set You Apart
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.
Lead technical architecture and implementation of AI-powered GTM workflows, automations, and systems across Salesforce, Agentforce, and related platforms.
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.
Required Qualifications:
Preferred Qualifications:
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
Leads technical vision and implementation of AI-powered GTM workflows, automations, and systems architecture across Salesforce, Agentforce, and enterprise tech stack.
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.
Required Qualifications:
Preferred Qualifications:
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
Leads system design and architecture for agentic AI capabilities, establishing standards and technical direction for production-scale AI platform integration.
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.
Required Qualifications:
Preferred Qualifications:
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
Leads system design and architecture of agentic AI capabilities, defining orchestration patterns, state management, and integration standards for production AI systems.
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.
Required Qualifications:
Preferred Qualifications:
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
Builds and operates internal AI workflows across R&D, identifying high-value AI problems, designing solutions, and ensuring reliable adoption and performance.
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.
Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.
AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.
The opportunity now is to turn that energy into something more systematic.That’s where you come in.
We’re looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.
This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You’ll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.
One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly.
You’ll own the connective layer between AI strategy and day-to-day execution across R&D.
This isn’t a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We’re looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through.
You’ll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform.
*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.
We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.
Senior engineer who embeds with business departments to rapidly prototype and deploy custom AI applications that automate workflows and solve specific operational pain points.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.
Primary responsibilities include:
Ideal candidates will have:
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
Time Off & Wellbeing
Insurance & Financial Security
Work Perks & Flexibility
Wellness & Lifestyle
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$184,000—$253,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Embeds with business departments to rapidly build and deploy custom AI-powered applications that automate workflows and solve specific operational problems.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.
Primary responsibilities include:
Ideal candidates will have:
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
Time Off & Wellbeing
Insurance & Financial Security
Work Perks & Flexibility
Wellness & Lifestyle
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$156,000—$215,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Leads a team managing technical migration of templates to LLM autoraters and prompt engineering workflows.
Leads customer experience strategy through AI tools and automation, implementing AI solutions to optimize support workflows and operations.
Principal strategist who designs and implements AI solutions across marketing operations, building AI roadmaps and enabling the team to operate independently with AI tools.
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX
This role exists to fundamentally change how Cloudflare’s marketing organization works by putting AI at the center of how we operate. Equal parts strategist and force-multiplier, you will identify where AI can deliver the greatest business impact, build the solutions that matter most, and systematically raise the organization’s ability to build and leverage AI independently. The ultimate measure of success is not how much you build—it’s how much the organization can build without you.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
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Design and operate AI agents, automations, and workflows that govern how the Benefits organization tests, validates, and scales operational changes through parallel pilots.
Headquarters: Denver, CO - Hybrid; Phoenix, AZ - Remote
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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.
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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.
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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:
We’re hiring an Operations Lead, internally named Labs Lead, to build and run Benefits Labs, the system that governs how Gusto’s Benefits organization tests, validates, and scales operational change.
You will own the full Labs lifecycle, including intake, pilot design, execution governance, measurement, and recommendations to leadership. This is not a traditional program or operations role. Your responsibility is to build and operate the system that runs Labs.
This role is AI-native. You will design and run the agents, automations, and workflows that power how work is triaged, how pilots are executed, and how evidence is generated and synthesized. The goal is to create a system that can run many pilots in parallel with high quality and minimal manual intervention.
Your impact is measured by leverage: how much work the system can handle without you, how quickly the organization can test and scale changes, and how clearly leadership can make decisions based on evidence.
Benefits Labs sits within Benefits Business Operations today. You will be the founding operator, reporting to the Head of Benefits Business Operations, and will directly shape how this function evolves, including its future scope, structure, and investment.
About the Team:
Benefits Business Operations is responsible for how Gusto’s Benefits business improves and scales. The team operates across three domains: Automation, Carrier, and Quality, each focused on improving different parts of the operational system.
Labs sits across these domains as the governance layer for operational change. It ensures ideas are tested rigorously, measured consistently, and scaled intentionally. Labs partners closely with org leadership, product, engineering, and transformation teams to turn strategy into execution and build systems that improve how the business operates.
Here’s what you’ll do day-to-day:
You will operate and continuously improve the system that governs operational change across Benefits.
Here’s what we're looking for:
Minimum experience:
4+ years in operations, program management, or business operations in a SaaS, technology, or operationally complex environment.
Bonus:
Experience in benefits, insurance, or brokerage operations. Experience working with operational metrics (e.g., cycle time, quality, throughput). Direct experience building or managing AI agents in a production or operational context.
Our cash compensation amount for this role is $98,725/year to $116,000/year in Denver & most major metro locations, and $114,285/year to $140,000/year 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.Â
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.Â
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-benefits-operations-lead
