In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

• Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.

• Define what success looks like across our agent portfolio and make sure we're tracking against it , not just shipping, but learning.

• Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what's working, catch what isn't, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. You'll define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.

We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.

Specifically, we are looking for you to:

• Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue
• Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept
• Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline
• Evangelize and represent Cloudflare through technical thought leadership and expertise
• Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers

You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.

Examples of desirable skills, knowledge and experience include:

• Fluency in Dutch and English (verbal and written)
• Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders
• Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)
• Experience managing technical sales cycles end-to-end
• Ability to articulate business value and ROI of technical solutions, not just features
• Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)
• Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting
• Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN
• Cloud networking concepts: VPCs, peering, interconnect
• DDoS attack types (L3/L4/L7) and mitigation strategies
• Web Application Firewall (WAF) rule configuration and tuning
• VPN concepts and their limitations relative to Zero Trust approaches
• API security: API Gateway, rate limiting, schema validation, abuse prevention
• Bot management concepts and detection techniques
• SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)
• Zero Trust Network Access (ZTNA) vs. traditional VPN architecture
• HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics
• Detailed understanding of the flow from user to application, including hybrid cloud architectures
• Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)
• Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)
• Cloudflare Workers and the edge compute model (JavaScript/TypeScript)
• Familiarity with related primitives: KV, Object storage, serverless compute
• Familiarity with the competitive landscape across Cloudflare's product areas
• Understanding of why customers move from on-premises appliances to cloud-delivered security
• Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare

We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we'd love to hear from 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

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Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity Clearly and empathetically communicate with a wide range of user personas Manage on-call tasks for high-urgency user issues Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues Suggest and drive improvements to increase user satisfaction through support processes Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners, and building resources

You may be a good fit if you: Have experience in technical product support, including API debugging Are familiar with APIs and technical SaaS products Have demonstrated an ability to thrive in fast-paced, reactive situations Possess strong user empathy and are expert in the lifecycle of a support case Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious, and enjoy fixing bugs and issues Have experience contributing to the foundations of a support team Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership and are excited to help us build our team!

Strong candidates may also have: Comfort with command line interfaces and basic scripting Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams

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Location

São Paulo

Employment Type

Full time

Department

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in São Paulo (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation.

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them.

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

• Lead account-level coordination across multiple work streams, including new product activation, change management, and customer rollout and deployment planning.

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting.

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work.

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

• Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

• Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

• Have excellent project and program management instincts and can lead multi-work stream initiatives with clarity and structure.

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams.

• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role can be based in Delhi, Mumbai, or Bengaluru.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

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Research Communications Manager

Location

San Francisco

Employment Type

Full time

Department

Communications

Compensation

$185K – $205K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

Our Communications team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI.

About the Role

OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and in partnership with applied and engineering teams to shape how OpenAI’s scientific work is understood by researchers, journalists, policymakers, and the broader public.

This position is responsible for developing and executing external communications strategies around OpenAI’s research—from foundational model advances to applied science collaborations—ensuring accuracy, nuance, and alignment with OpenAI’s long-term goals. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience navigating complex, high-stakes narratives.

You will partner closely with research leadership, individual researchers, policy, product, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, product, and public discourse intersect.

This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available.

In this role you will:

Shape Research Narratives

• Develop clear, credible external narratives around OpenAI’s research roadmap, breakthroughs, and long-term scientific direction.

• Translate complex technical work into accessible stories without oversimplifying or overstating impact.

• Help define and reinforce OpenAI’s POV on key research topics (e.g., reasoning, alignment, interpretability, scientific discovery).

Lead Research-Focused Media Engagement

• Build and maintain trusted relationships with top-tier science, technology, and business journalists.

• Manage proactive and reactive media engagement related to research announcements, papers, collaborations, and emerging narratives.

• Prepare researchers and executives for interviews, briefings, and public appearances.

Support Research Launches & Publications

• Partner with research teams to plan communications for major papers, model releases, evaluations, and science initiatives.

• Collaborate with design, editorial, and social teams on blogs, explainers, visuals, and supporting materials.

• Ensure launches are grounded in evidence, aligned with policy and safety considerations, and appropriately scoped.

Cross-Functional Partnership

• Work closely with Product, Policy, Safety, Legal, and Marketing to align research communications with broader company goals.

• Serve as a communications thought partner to researchers—helping them anticipate questions, risks, and opportunities.

Risk Anticipation & Mitigation

• Identify potential reputational, scientific, or misinterpretation risks early.

• Develop mitigation strategies, Q&A, and guidance for sensitive or high-profile research topics.

• Help ensure OpenAI communicates responsibly about frontier capabilities and limitations.

You might thrive in this role if you have:

• 7+ years of experience in research, science, or technology communications

• Demonstrated experience working directly with scientists, engineers, or technical leaders.

• Strong understanding of AI, machine learning, or adjacent scientific domains

• Exceptional writing and editing skills, with the ability to adapt tone for expert and general audiences

• Proven judgment handling complex, ambiguous, or high-stakes narratives

• Experience managing multiple workstreams in a fast-paced environment with shifting priorities

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