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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.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Team</h3>\n<p>Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives,from system-level safeguards and model training to evaluation and red-teaming,all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI&#39;s commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.</p>\n<h3>About the Role</h3>\n<p>We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Design and maintain model policies for audio, image, video, and omni-modal behavior.</li>\n<li>Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards.</li>\n<li>Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration.</li>\n<li>Develop policy artifacts that support model training, evaluation, and deployment, including behavior instructions, human-data campaigns, golden sets, and evaluations.</li>\n<li>Partner with AI researchers, domain experts, and product teams to operationalize policy into measurable model behavior.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Have strong judgment about the real-world risks of advanced multimodal AI systems.</li>\n<li>Possess experience turning ambiguous safety questions into clear data-driven policies, behavioral boundaries, and measurable evaluation criteria.</li>\n<li>Treat policy as an end-to-end, measurable system by testing whether it produces the intended model behavior and diagnosing gaps across policy, data, graders, and safeguards.</li>\n<li>Leverage strong technical judgement to design policies around model behavior that can realistically be trained, measured, and supervised at scale.</li>\n<li>Demonstrate strong technical fluency and uses AI tools to accelerate policy development, evaluate model behavior, analyze failure patterns, and turn findings into actionable improvements.</li>\n<li>Are comfortable working hands-on with model data and evaluation results, including inspecting examples, analyzing failure patterns, assessing data quality, and distinguishing policy failures from grader, model, or system failures.</li>\n<li>Enjoy fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change.</li>\n<li>Take a pragmatic, evidence-driven approach to reducing risk while preserving beneficial uses of AI.</li>\n<li>Have hands-on experience driving consensus and action in ambiguous spaces.</li>\n</ul>","enriched_at":1789837823451},{"id":"job_119b1f49-b0a","title":"International Marketing Lead, SMB Ads","source_url":"https://jobs.ashbyhq.com/openai/2c992fb3-0501-46fc-af5b-76660b4acfeb","location":"Dublin","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Marketing","description":"<p>OpenAI is building the next generation of advertising for an AI-powered world.</p>\n<p>The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time.</p>\n<p>As an International Marketing Lead, SMB Ads, you will own SMB business targets across international markets and lead the team and cross-functional plans that deliver advertiser acquisition, activation, retention, and revenue growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own international advertiser and revenue targets. Translate them into country plans spanning acquisition, activation, retention, expansion, and advocacy.</li>\n<li>Prioritize countries based on market potential, product readiness, channel economics, and regulatory and operational requirements.</li>\n<li>Launch locally relevant go-to-market programs with regional marketing, sales, and partnership leaders.</li>\n<li>Improve the international advertiser experience with Product, Engineering, Data Science, and Operations.</li>\n<li>Align regional sales leaders around shared growth goals, market plans, enablement, and coordinated customer engagement.</li>\n<li>Direct investment across markets and programs.</li>\n<li>Lead international performance reviews, forecasting, and growth initiatives with Sales, Product, and Finance.</li>\n<li>Hire, coach, and develop the international SMB Ads marketing team.</li>\n<li>Connect regional and local insights to global strategy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Significant experience owning international business or growth targets, with measurable customer and revenue results in SMB, self-serve, advertising, SaaS, marketplace, commerce, or fintech businesses.</li>\n<li>Success hiring and developing marketing teams, scaling across countries, and leading collaboration among global, regional, and local teams.</li>\n<li>Ability to balance global strategy with local customer needs.</li>\n<li>Understanding of how to acquire, activate, educate, and retain SMB customers at scale.</li>\n<li>Experience using funnel data, market research, customer insight, and experiments to make clear decisions.</li>\n<li>Familiarity with advertiser acquisition, campaign setup, and education on platforms such as Google Ads, Meta Ads, TikTok for Business, Amazon Ads, Reddit, or Snap.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>","enriched_at":1789837784267},{"id":"job_747195e4-ef1","title":"Global Transportation Programs, Senior Manager","source_url":"https://jobs.ashbyhq.com/openai/7d87459c-6085-4479-8e77-9255e6dd8329","location":"San Francisco","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Operations","description":"<h3>Compensation</h3>\n<p>$203K – $225K • Offers Equity</p>\n<p>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.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Team</h3>\n<p>The Real Estate &amp; Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence.</p>\n<h3>About the Role</h3>\n<p>As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options.</p>\n<p>We&#39;re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You&#39;ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales.</p>\n<h3>Location and work model</h3>\n<p>San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays.</p>\n<h3>In this role, you will:</h3>\n<ul>\n<li>Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery.</li>\n<li>Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost.</li>\n<li>Build a scalable operating model across regions, including repeatable launch playbooks, clear global and local ownership, vendor standards, integrated tools and reporting, and training for local teams. Adapt programs to local infrastructure, regulations, and benefit practices without rebuilding the approach for every office.</li>\n<li>Manage transportation vendors from sourcing and onboarding through service reviews, renewals, corrective action, and transitions, partnering with Strategic Sourcing and Legal on commercial terms.</li>\n<li>Own program budgets, forecasts, invoice review, and business cases; use utilization and cost data to recommend where to invest, optimize, or retire services.</li>\n<li>Partner with Workplace Operations, Real Estate, Facilities, Corporate Security, People/Benefits, Payroll, Finance, Legal, IT, and Internal Comms to clarify ownership and deliver integrated programs.</li>\n<li>Work with Benefits, Payroll, and Legal to design and administer transit benefits, parking eligibility, subsidies, and reimbursement policies appropriate to each market.</li>\n<li>Establish clear service levels, incident escalation, backup plans, and outage communications so employees can navigate disruptions safely and confidently.</li>\n<li>Improve the end-to-end employee journey, including discovery, enrollment, booking, support, and feedback; build clear intake, tracking, and resolution processes with internal teams and vendors.</li>\n<li>Measure service reliability, adoption, capacity utilization, employee satisfaction, accessibility, and cost effectiveness; turn findings into improvements and concise leadership recommendations.</li>\n</ul>\n<h3>You might thrive in this role if you:</h3>\n<ul>\n<li>Have directly built and scaled employee transportation programs across multiple countries during significant organizational growth, with demonstrated results in new-market launches, service reliability, adoption, and cost management.</li>\n<li>Bring hands-on experience across multiple transportation modes, including shuttles, parking, micromobility, and transit or commuter benefits, with the ability to manage an integrated portfolio.</li>\n<li>Can turn ambiguous expansion needs into practical plans, budgets, operating standards, and clear decisions while staying close to daily service delivery.</li>\n<li>Have managed complex vendor relationships and commercial performance, including service levels, budgets, procurement processes, and service recovery.</li>\n<li>Use data to evaluate demand, service quality, utilization, and cost, and can explain tradeoffs clearly to employees, partners, and leaders.</li>\n<li>Build effective partnerships across functions, regions, and external providers, and can drive decisions and accountability without relying on formal authority.</li>\n<li>Apply sound judgment to safety, accessibility, local requirements, and employee data, bringing in the right specialists when needed.</li>\n<li>Communicate clearly, act on feedback, and remain calm and accountable during service disruptions or changing priorities.</li>\n<li>Experience with commute-management platforms, transportation demand management, sustainability measurement, or systems integrations is a plus.</li>\n</ul>","enriched_at":1789837758657},{"id":"job_c2b1f168-ce7","title":"Enterprise Field Marketer","source_url":"https://jobs.ashbyhq.com/openai/1958bdb2-dffc-4bff-a614-c13e2b8efe6f","location":"San Francisco, CA","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Marketing","description":"<h3>Compensation</h3>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $227K – $252K, with generous equity, performance-related bonuses, and the following benefits:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Team</h3>\n<p>The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI.</p>\n<p>Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers.</p>\n<h3>About the Role</h3>\n<p>As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. Your focus will attach to the business’s most important needs at any given time, whether that means an industry motion, a regional priority, a strategic account, an executive engagement, or a new company-wide growth opportunity.</p>\n<p>You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and regions.</li>\n<li>Partner closely with Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, and follow-through.</li>\n<li>Own the full lifecycle of field programs, from strategy and planning through execution, seller enablement, follow-up, and measurement.</li>\n<li>Run high-impact customer programs including executive dinners, roundtables, forums, workshops, industry moments, roadshows, and third-party conference activations.</li>\n<li>Turn marquee moments into measurable pipeline opportunities with clear target accounts, success metrics, seller ownership, and post-event conversion plans.</li>\n<li>Collaborate with Product Marketing, Events, Comms, Marketing Operations, Solutions, Customer Success, Partnerships, and executive stakeholders to deliver compelling customer experiences.</li>\n<li>Track performance, communicate business impact, and build repeatable playbooks that help field marketing scale across enterprise segments.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Have 8+ years of experience in enterprise field marketing, ABM, regional marketing, sales enablement, or related B2B growth roles supporting complex sales motions.</li>\n<li>Have a track record of creating measurable pipeline impact through field programs, executive engagement, account-based programs, or industry marketing.</li>\n<li>Understand enterprise buying cycles, pipeline creation, stage progression, and how field marketing can influence seller productivity.</li>\n<li>Have partnered closely with enterprise sellers and sales leadership on territory planning, account prioritization, QBRs, pipeline reviews, and follow-up.</li>\n<li>Can operate across strategy and execution: you can shape the plan, manage stakeholders, and personally drive the details.</li>\n<li>Are highly organized, commercially minded, resourceful, and comfortable making progress when inputs are incomplete.</li>\n<li>Communicate clearly and can influence senior stakeholders across Sales, Marketing, Product, and customer-facing teams.</li>\n<li>Are energized by AI and excited to help enterprises turn new technology into measurable business value.</li>\n</ul>","enriched_at":1789837756471},{"id":"job_a453fba0-e23","title":"Head of Finance - Data Centers","source_url":"https://jobs.ashbyhq.com/openai/144b12f3-5821-4727-a266-b5ed9ff46fd2","location":"San Francisco","job_type":"Full time","experience_level":"executive","work_arrangement":"hybrid","category":"Finance","description":"<h3>Compensation</h3>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $347K – $385K, with generous equity, performance-related bonuses, and the following benefits:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Role</h3>\n<p>As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects.</p>\n<p>This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks.</li>\n<li>Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs.</li>\n<li>Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early.</li>\n<li>Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance.</li>\n<li>Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate.</li>\n<li>Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs.</li>\n<li>Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Prior experience as the finance leader for large-scale data center builds or major electric generation projects. You have directly owned investment analysis, capital budgets, and financial decisions through development and construction.</li>\n<li>Prior experience in investment banking or private equity. This is a strong preferred part of the background for this role.</li>\n<li>10+ years of experience across strategic finance, infrastructure finance, project development, or related fields.</li>\n<li>Strong command of project finance, capital project economics, capex and cash flow forecasting, budget management, and the financing structures used to develop large infrastructure assets.</li>\n<li>Excellent financial modeling skills and the judgment to test assumptions, quantify uncertainty, and recommend a path forward.</li>\n<li>Working knowledge of construction cost drivers and risks, including utility and power timelines, procurement, contracts, and change orders.</li>\n<li>The ability to work closely with technical and construction teams while communicating clearly with senior finance and business leaders.</li>\n<li>Strong track record of hiring, leading and developing high performing teams.</li>\n</ul>","enriched_at":1789837728262},{"id":"job_4f46acd4-cb3","title":"Forward Deployed Engineer (FDE), Financial Services- NYC","source_url":"https://jobs.ashbyhq.com/openai/7f76be3a-38d0-4ff4-b997-9f1672e78bc0","location":"New York City","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>Compensation</h3>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $185K – $300K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.</p>\n<p>Benefits include:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends</li>\n</ul>\n<h3>About the team</h3>\n<p>OpenAI&#39;s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. The team operates at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact.</p>\n<h3>About the role</h3>\n<p>We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI&#39;s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems.</p>\n<p>You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You&#39;ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience.</p>\n<p>You will also play a central role in shaping OpenAI&#39;s Financial Services offering , identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions.</p>\n<h3>In this role, you will</h3>\n<ul>\n<li>Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows.</li>\n<li>Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes.</li>\n<li>Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.</li>\n<li>Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures.</li>\n<li>Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (e.g., accuracy, latency, coverage, false positives) and use results to drive iteration.</li>\n<li>Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes.</li>\n<li>Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions.</li>\n<li>Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases.</li>\n</ul>\n<h3>You might thrive in this role if you</h3>\n<ul>\n<li>Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries.</li>\n<li>Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences.</li>\n<li>Have experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understand how incentives and controls shape adoption.</li>\n<li>Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks.</li>\n<li>Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes.</li>\n<li>Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture.</li>\n<li>Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns.</li>\n<li>Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes.</li>\n</ul>","enriched_at":1789837704809},{"id":"job_ffcb7b44-493","title":"Model Policy Manager, National Security","source_url":"https://jobs.ashbyhq.com/openai/50e8714b-c8a2-47f0-bc7c-2a76e988b380","location":"San Francisco","job_type":"Full time","experience_level":null,"work_arrangement":null,"category":"IT","description":"<h3>Compensation</h3>\n<p>The base pay for this role is $266K – $335K, with additional compensation including equity, performance-related bonuses, and benefits.</p>\n<p>Benefits include:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses</li>\n<li>401(k) retirement plan with employer match</li>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)</li>\n<li>Paid medical and caregiver leave (up to 8 weeks)</li>\n<li>Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n</ul>\n<h3>About the Team</h3>\n<p>The Safety Systems team manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring they are deployed responsibly and have a positive impact on society. The Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior.</p>\n<h3>About the Role</h3>\n<p>We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Develop model policies that guide safe and useful behavior</li>\n<li>Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training</li>\n<li>Work with research, engineering, and domain experts to support safe, reliable deployment</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Relevant experience in AI safety, policy, or risk assessment</li>\n<li>Strong judgment and ability to turn complex safety questions into clear, practical policies</li>\n<li>Technical fluency to work hands-on with model data and evaluations</li>\n<li>Motivation by OpenAI’s mission and the responsible use of AI in safety-critical settings</li>\n<li>Active TS/SCI clearance or equivalent</li>\n</ul>","enriched_at":1789837681385},{"id":"job_d23bdfaa-fe2","title":"Dedicated Support Engineering Lead","source_url":"https://jobs.ashbyhq.com/openai/deacd43e-9c1b-467c-96e2-11f4f6bdb139","location":"San Francisco","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>Compensation</h3>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $347K – $385K, with generous equity, performance-related bonuses for eligible employees, and the following benefits:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Team</h3>\n<p>OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers&#39; 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.</p>\n<h3>About the Role</h3>\n<p>We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Set the strategy for Dedicated Support Engineering. Define the function’s charter, service model, priorities, and growth plan. Translate customer needs and company priorities into clear decisions about where to invest and how to scale.</li>\n<li>Build and develop a high-performing global organization. Hire and coach senior technical talent, develop future leaders, and establish expectations for technical depth, customer ownership, collaboration, and performance.</li>\n<li>Design the customer engagement model. Establish how DSEs are assigned to customers, build account knowledge, conduct operational reviews, and prepare for critical events. Define clear responsibilities and handoffs with Support, Technical Success, Sales, and Engineering.</li>\n<li>Set the standard for technical ownership. Ensure the team uses evidence, reproduction, and systems-level investigation to advance complex issues. Develop the team’s judgment on when to continue investigating, mitigate, or engage Engineering, and stay close enough to the work to guide difficult decisions.</li>\n<li>Build proactive reliability into the service. Establish practices for assessing customer architectures and dependencies, identifying emerging risks, and preparing for launches, migrations, and traffic growth. Ensure incident learnings lead to completed corrective actions.</li>\n<li>Lead through critical customer situations. Serve as a senior escalation point, align responders across teams, and communicate clearly with customer executives. Maintain accountability for the customer’s support experience through mitigation, resolution, and follow-through.</li>\n<li>Own delivery quality and sustainable growth. Build capacity plans, coverage arrangements, and investment proposals that support service commitments. Balance customer complexity, team workload, and time for proactive work as the customer portfolio grows.</li>\n<li>Define and measure meaningful outcomes. Establish measures of investigation quality, time to mitigation, recurring issue reduction, customer confidence, and proactive risk reduction. Use these insights to improve the service and guide investment.</li>\n<li>Influence product and engineering priorities. Turn patterns across customer investigations into evidence-backed recommendations. Build alignment with senior partners on reliability, observability, supportability, and tooling improvements.</li>\n<li>Make AI and automation foundational to the function. Apply OpenAI’s technology to preserve customer context, accelerate investigations, detect risks, and automate repeatable work. Establish evaluations and human oversight so these capabilities improve quality and customer trust.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Have 12+ years of experience in technical customer-facing roles, including 6+ years of leadership responsibility for enterprise Support Engineering, Technical Account Management, or a comparable function supporting complex production environments.</li>\n<li>Have built or materially scaled a dedicated technical customer program, with ownership of its service model, staffing, delivery standards, and outcomes.</li>\n<li>Bring experience leading senior engineers and developing technical leaders across regions, with a clear approach to hiring, coaching, and performance.</li>\n<li>Have a strong technical foundation in APIs, distributed systems, cloud infrastructure, and enterprise integrations. You can evaluate investigation quality, challenge hypotheses, and guide teams through ambiguous failures.</li>\n<li>Have maintained long-term technical relationships with strategic enterprise customers, connecting architecture and workload context to business impact and operational priorities.</li>\n<li>Have led high-stakes customer escalations and can earn trust with both engineering teams and executives while communicating uncertainty accurately.</li>\n<li>Can influence senior stakeholders across organizational boundaries, resolve competing priorities, and translate customer evidence into concrete technical and operational changes.</li>\n<li>Have demonstrated sound judgment in balancing customer commitments, service quality, staffing, and the economics of a growing support function.</li>\n<li>Have delivered measurable improvements through automation or AI and can distinguish promising experiments from capabilities ready for dependable customer use.</li>\n<li>Are comfortable establishing direction in ambiguity, taking accountability for difficult decisions, and building a team that operates with curiosity, humility, and urgency.</li>\n</ul>","enriched_at":1789749492017},{"id":"job_6aae34a3-2e5","title":"Member of Executive Operations, Seattle","source_url":"https://jobs.ashbyhq.com/openai/bcf5b85f-6fa5-40f5-bb62-434d430f8ae8","location":"Seattle","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Operations","description":"<h3>Compensation</h3>\n<p>$62.98 – $69.71 per hour • Offers Equity</p>\n<p>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.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>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)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>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)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<h3>About the Team</h3>\n<p>Our Executive Operations team serves as trusted advisors and collaborators to OpenAI&#39;s executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We are pivotal in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives.</p>\n<h3>About the Role</h3>\n<p>This team member will be a proactive and adaptable partner to leaders, supporting complex calendar and schedule management, expenses, team meetings and events, and travel as needed. The role requires a high level of coordination across internal and external engagements, working closely with other members of Executive Operations.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Manage complex calendars, balancing competing priorities while ensuring leaders&#39; time is aligned with business needs.</li>\n<li>Coordinate internal and external meetings, resolve scheduling conflicts, and facilitate effective communication across stakeholders.</li>\n<li>Plan and manage domestic and international travel, ensuring seamless logistics and execution.</li>\n<li>Support team operations, including All Hands meetings, offsites, happy hours, and other team events.</li>\n<li>Process and manage expense reports in accordance with company policies.</li>\n<li>Build strong working relationships across teams and develop trusted partnerships with the leaders you support.</li>\n<li>Help improve operating rhythms, identify opportunities to streamline processes, and contribute to operational excellence.</li>\n<li>Collaborate closely with other members of Executive Operations to support high-impact initiatives and cross-functional work.</li>\n<li>Exercise sound judgment, professionalism, and discretion when handling confidential information.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>4 to 7 years of executive support, executive operations, or similar experience.</li>\n<li>Experience supporting one or more senior leaders in a fast-paced, high-growth environment.</li>\n<li>Demonstrated experience managing complex calendars, scheduling across multiple stakeholders, and resolving competing priorities.</li>\n<li>Experience coordinating complex travel, meetings, and other operational needs with strong attention to detail.</li>\n<li>Excellent written and verbal communication skills with the ability to tailor communication to different audiences.</li>\n<li>A collaborative mindset and enjoy partnering across teams to solve problems and move work forward.</li>\n<li>Strong organizational skills and the ability to operate independently in an environment with changing priorities.</li>\n<li>Fluency with Google Workspace, Slack, and modern productivity tools, with curiosity to learn new technologies.</li>\n<li>Interest in AI and the technology OpenAI is building.</li>\n<li>Comfort working in a fast-moving and often ambiguous environment.</li>\n</ul>","enriched_at":1789749449394},{"id":"job_829300df-6a6","title":"Applied AI Engineer, Quants","source_url":"https://jobs.ashbyhq.com/openai/6d8facff-ce1d-4069-884b-dc1177cc1a06","location":"London","job_type":"Full time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>About the Team</h3>\n<p>OpenAI&#39;s Applied AI Engineering team helps organisations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.</p>\n<p>Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organisation-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.</p>\n<h3>About the Role</h3>\n<p>As an Applied AI Engineer focused on quantitative investment and trading firms, you will partner directly with researchers, engineers, and technical leaders to apply OpenAI&#39;s models and Codex to their research and development workflows. You will combine an understanding of how quants work with hands-on technical skills, helping customers identify valuable opportunities, evaluate approaches, and take successful experiments into production. You will work with both practitioners and senior leaders, connecting advances in AI to the problems that matter most to their firms.</p>\n<p>You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behaviour, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact,not simply activity or successful demonstrations.</p>\n<p>This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI&#39;s products evolve.</p>\n<p>This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Work directly with quantitative investment and trading firms to identify opportunities across research, data analysis, and software development, translating their needs into practical implementations, evaluations, and measurable outcomes.</li>\n<li>Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.</li>\n<li>Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.</li>\n<li>Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.</li>\n<li>Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.</li>\n<li>Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.</li>\n<li>Lead technical workshops and hands-on sessions that help quantitative researchers and engineers apply OpenAI&#39;s models and Codex effectively in their day-to-day work.</li>\n<li>Bring the needs of quant customers into OpenAI&#39;s product development, translating deployment experience, evaluations, and feedback into clear requirements for Product, Research, and Engineering.</li>\n<li>Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Have worked in quantitative research, quantitative development, or a closely related role, or can demonstrate an excellent understanding of how quantitative investment and trading teams operate. You understand their research processes, technical environments, and expectations for rigorous evaluation.</li>\n<li>Have practical, hands-on experience with LLMs, whether through tools such as Codex or through building AI applications. Deep experience deploying LLM systems is valuable, but strong quant expertise and the ability to learn quickly are the priorities.</li>\n<li>Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering,not only program or stakeholder management.</li>\n<li>Are highly proficient in Python and comfortable building and debugging research tools, data workflows, or software systems.</li>\n<li>Bring a rigorous approach to evaluating quantitative, statistical, or machine-learning systems, and can apply that discipline to assessing AI outputs and workflows.</li>\n<li>Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.</li>\n<li>Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.</li>\n<li>Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.</li>\n<li>Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.</li>\n<li>Learn quickly, challenge assumptions constructively, and collaborate with humility. 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