Model Behavior Engineer in United States

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role can be based in our San Francisco, New York, or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan Support your customer accounts from initial engagement to successful deployment, expansion, and through to renewal Partner with solutions and research engineering to build and execute complex customer programs and projects Own a revenue target Manage revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO: GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping trans

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's V4G Partnerships function sits at the intersection of our platform, the government agencies and contractors we serve, and the broad network of systems integrators, resellers, service providers, and auditors within the public sector compliance and risk management ecosystem. You'll help build and grow these partnerships to build pipeline, as well as to ensure that customers have access to high-quality, trusted delivery through Vanta. As Director, Vanta for Government (V4G) Partnerships , you will own Vanta's partner function for the public sector — the strategy, the network, and the programs that let it scale — supporting both our government sales motion (Federal and SLED) and our government vendor business. Reporting directly to the Head of Public Sector, you will define the partner archetypes, tiering, and coverage model required to serve government demand, and own V4G partner-sourced pipeline and ARR that rolls into Vanta's overall partner-sourced target. You'll work in close partnership with the VP of Global Channel & Alliances, who owns that overall target and channel operating model, to ensure the public sector motion is built on — and strengthens — that foundation. This is a high-impact, cross-functional role for someone who has built a public sector partner function from the ground up: designing joint GTM programs, negotiating enterprise partnership agreements, and standing up the mechanisms that let a partner network scale beyond the person running it. You'll have meaningful scope: you'll own the V4G partner function — the strategy, the partner network, the program design, and the team — and decide how Vanta

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As Manager, Enablement Programs, you will own the programs and operating system that help sellers ramp fast and execute with confidence — from global onboarding to role-readiness, Field OS, and AI-enabled enablement workflows. This role exists because we’re evolving our Enablement and GTM motion, and we need a leader to drive that change: set the standard for what “great” looks like in the era of AI, build an AI-native enablement model, and own the agentic workflows that help the field execute. What You'll Achieve: By day 90: Build the first version of the Field OS as a seller-ramp unlock (priority workflows, trusted resources, and AI-enabled execution moments by role). By day 90: Map and prototype the core custom agents that help sellers ramp faster and apply the right support at each stage of the sales process. By day 90: Refresh onboarding around continuous iteration (A/B testing, measurement, and role-specific alignment to the sales process) and implement onboarding engagement + impact metrics. By day 90: Stand up a dedicated manager onboarding track to help managers ramp faster and reinforce new-hire success cons

Coder is looking for an AI Enablement Engineer to help execute our Smart AI roadmap and make AI and vibe coding easier across the company. You’ll work directly with employees to understand what they’re trying to build, answer questions about Smart AI best practices, and remove the technical or process barriers getting in their way. You’ll also turn those needs into shipped improvements. That means building and refining Smart AI journeys, reusable skills, paved paths, and infrastructure enhancements, while partnering closely with the Smart AI Program lead on roadmap execution. You’ll also teach through office hours and sessions, but most of your time will be spent listening, building, troubleshooting, and improving the system around our internal AI community. What you’ll do here Act as a hands-on technical partner for Coder employees using Smart AI, helping them understand best practices, choose the right approach, and work through blockers. Meet with employees across the company to understand their needs, requirements, workflows, and impediments as they build with AI. Answer questions in Slack, meetings, and working sessions about Smart AI tools, models, prompts, harnesses, development environments, and recommended patterns. Identify recurring needs across our internal AI community and translate them into clear requirements for the Smart AI roadmap. Execute against the existing Smart AI roadmap by building and improving reusable journeys, skills, templates, system instructions, and other paved paths. Contribute directly to infrastructure enhancements that make internal AI development easier, more reliable, and more consistent. Build alongside users when useful, using tools like Claude Code and other AI-assisted development workflows to prototype solutions and validate new approaches. Help improve the dedicated development environment employees use for vibe coding, including integrations, connectors, APIs, model access, and supporting infrastructure. Turn one-off que

As an Engineering Manager on Coder’s Core Workspaces team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction while growing the team and keeping execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Workspaces organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with React and TypeScript . Experience with Go . Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS . Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP , agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building abstractions across multiple model providers. Deep experience with AWS, Kube

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Our Federal Sales team has a unique mission to help government customers understand the transformative impact that highly capable AI models can bring to their agencies and missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy tailored specifically to federal customers. You’ll drive key opportunities through the entire federal sales cycle, from pipeline generation to closure. You’ll collaborate closely with researchers, engineers, and solution strategists to help government customers advance their missions through AI. This role is based in Washington DC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you'll: Manage a focused set of key federal accounts, developing and executing comprehensive federal account plans. Lead federal customers through their AI adoption journey, from consideration to successful deployment. Partner with solutions and research engineering to build and execute complex government customer programs and projects. Own and manage a federal consumption revenue target. Oversee consumption revenue forecasting and reporting. Analyze key federal account metrics and provide insights to internal and external stakeholders. Closely monitor the federal landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies. Collaborate cross-functionally with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. Support the recruitment

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO: GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping trans

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry. About the Role As Senior Manager, Technical Accounting, Compute Infrastructure, you will lead the evaluation, documentation, and operationalization of complex accounting matters related to OpenAI's compute infrastructure, strategic investments, and other non-routine business activities.. This role sits at the intersection of U.S. GAAP technical accounting, infrastructure strategy, financial reporting, controls, and cross-functional execution. Key areas may include cloud compute arrangements, data center and colocation arrangements, lease accounting under ASC 842, power purchase agreements, strategic investments, consolidation evaluations under ASC 810, financial instruments, and other emerging or non-standard arrangements. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting analysis for complex, judgmental, and non-routine transactions under U.S. GAAP. Evaluate accounting implications for compute infrastructure arrangements, including cloud compute, data center, colocation, lease, PPA, infrastructure procurement, and related commercial arrangements. Partner with Controllership, Tax, Legal, FP&A, Procurement, Infrastructure, and other cross-functional teams to assess the accounting implications of new products, commercial arrangements, strategic transactions, and business initiatives. Prepare and review technical accounting memoranda, position papers, and other auditor-ready documentation. Translate

About the Role As an Account Director for Higher Education in AMER, you will own strategic relationships with colleges, universities, and higher education systems as they move from AI experimentation to responsible, institution-wide transformation. You will work with presidents, provosts, CIOs, CTOs, academic and administrative leaders, researchers, security teams, and procurement stakeholders to define priority use cases, build the technical and governance foundation for deployment, and translate institutional goals into a multi-year AI transformation roadmap. You will own the commercial and customer journey end to end—from territory strategy, pipeline creation, and executive alignment through evaluation, procurement, deployment, adoption, consumption, value realization, and expansion. This is a deeply technical, consultative sales role. You will be expected to understand AI capabilities and limitations, integration patterns, data governance, privacy, security, and change management; partner effectively with technical experts; and remain accountable for measurable customer and revenue outcomes after signature. In this role, you will: Own and execute the AMER higher education territory and account strategy, prioritizing institutions where OpenAI can support meaningful, responsible, and scalable transformation. Create pipeline and lead complex, multi-threaded new-business and expansion opportunities from first engagement through procurement, deployment, adoption, and value realization. Engage credibly with presidents, provosts, CIOs, CTOs, academic leaders, researchers, administrators, security teams, legal, procurement, finance, and end-user champions. Lead cross-functional pursuit and account teams across Solutions Engineering, Customer Success, Product, Research, Security, Legal, and other functions to design evaluations, pilots, technical validation, executive business cases, production deployments, and adoption plans. Translate AI model and platform capabilities

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is seeking a highly motivated and experienced VC Partnerships Manager to join our Startups Go To Market team. You will play a critical role in managing relationships with top venture capital funds and startup accelerators, with the goal of providing exceptional support to the portfolio companies of these funds. We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups across stages with resources that help them get started with OpenAI APIs and build quickly, and provide access to OpenAI teams, community, and expertise to support their growth. This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for forming and managing partnerships with top venture investors, accelerators, and other partners in the startup ecosystem, as well as working across the OpenAI organization to help startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, marketing, support, and solutions architecture to help customers get the most out of our models. This role is based in our San Francisco office. We use a hybrid work model

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. As employees in this role with work with many customers based on the East Coast, regularly weekday hours will commence at 6am Pacific. To comply with a U.S. government contract, applicants for this position must be U.

About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for the most severe user-safety risks—including Frontier Risk and Material Harm—that are accurate, fast, defensible, and scalable. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and safe automation. About the Role We’re looking for a senior cybersecurity and cyber intelligence practitioner who is also an operations leader, strategist, and people manager. You’ll bring sound cyber judgment, strong analytical and automation instincts, and the ability to stay close to the work while setting direction, managing and developing people, aligning partners, building programs from 0→1, and translating ambiguity into durable operating systems. This role combines senior individual-contributor depth with direct people-management accountability. You’ll personally shape complex cyber judgments, operating models, SOPs, quality systems, and automation strategies while building, coaching, and holding accountable a high-performing team. You’ll also lead through influence across FTEs, BPO partners, and cross-functional teams. Baseline operational health—including quality, queue coverage, productivity, and SLA adherence—is table stakes; success is additionally measured by durable improvements to decision quality, stakeholder alignment, reviewer capability, and the systems that run the operation. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Set the strategic direction for Cyber Operations and translate high-level organizational priorities into a clear operating model, roadmaps, SOPs, escalation paths, quality goals, and safe-access strategies. Serve as the senior cybersecurity and cyber intelligence expert for complex and high-risk decisions across ChatGPT, API, Codex, agents, and

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions