OpenAI

Engineering Manager

• Hire and develop engineers, coach technical leaders, provide feedback, and establish ownership and accountability
• Set technical direction and turn the product roadmap into focused, reliable releases
• Review architecture and code, investigate difficult failures, and guide consequential technical decisions
• Translate scientific and customer needs into scoped milestones
• Make tradeoffs, resolve dependencies, and maintain focus as product and research agendas evolve
• Guide architecture across scientific interfaces, agent and tool orchestration, local and remote compute, durable execution, and persistent project state
• Build shared components supporting new scientific workflows
• Preserve analysis inputs, versions, results, and decisions to make scientific work inspectable and reproducible
• Establish testing, release practices, observability, and an effective on-call process
• Improve workflow reliability, latency, and cost; lead resolution of production problems
• Coordinate with Codex, product, design, research, customer-facing engineers, security, privacy, and safety teams
• Lead decisions about building or integrating scientific tools, specialist models, data sources, and experimental service providers
• Work with scientists and design partners to understand workflows and turn customer learning into reusable improvements
• Address enterprise requirements including private compute, credentials, networking, permissions, and data handling
• Connect internal research capabilities with supported product features
• Build instrumentation and feedback pipelines to measure successful workflows and repeat use
• Support evaluation and model improvement under consent and data-use requirements
• Implement access controls, review points, auditability, and retention policies throughout scientific workflows

Support Engineer

• Troubleshoot complex technical issues for Premium Support customers, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents
• Analyze logs and system behavior, reproduce errors, test hypotheses, isolate failure domains, and provide root-cause findings or evidence-based hypotheses to Engineering
• Serve as a trusted expert, critical escalation point, and technical backstop for strategic customers
• Own customer-specific responses to high-impact incidents from severity assessment through mitigation, resolution, and post-incident follow-through
• Communicate proactively with customer technical teams, business stakeholders, executives, and internal partners
• Document customer architectures, integrations, dependencies, critical workloads, and operational constraints for Support, Product, and Engineering
• Partner with Go-to-Market and Technical Success teams on workload importance, prioritization, and communication
• Represent Support Engineering in customer meetings, including QBRs, and communicate technical health, risks, blockers, and follow-up
• Monitor integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps
• Prepare account-specific runbooks and escalation paths for launches, migrations, traffic increases, and business events
• Lead or contribute to incident reviews and postmortems and track corrective actions through closure
• Translate recurring customer pain into evidence-backed Product and Engineering feedback
• Create scalable improvements including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation
• Help shape Premium Support’s operating model, technical standards, and tooling globally

• Troubleshoot complex technical issues for Premium Support customers, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents
• Analyze logs and system behavior, reproduce errors, test hypotheses, isolate failure domains, and provide root-cause findings or evidence-based hypotheses to Engineering
• Serve as a trusted expert, critical escalation point, and technical backstop for strategic customers
• Own customer-specific responses to high-impact incidents, including severity assessment, response coordination, stakeholder communication, mitigation, resolution, and post-incident follow-through
• Communicate proactively with customer technical teams, business stakeholders, executives, and internal partners during uncertain or evolving situations
• Document customer architectures, integrations, dependencies, critical workloads, and operational constraints for Support, Product, and Engineering
• Partner with Go-to-Market and Technical Success teams to incorporate commercial context into severity, prioritization, and communication
• Represent Support Engineering in customer meetings, including QBRs, and communicate technical health, risks, blockers, and follow-up actions
• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps
• Prepare account-specific runbooks, validate escalation paths, coordinate support readiness, and provide heightened monitoring for launches, migrations, traffic increases, and business events
• Lead or contribute to incident reviews and postmortems, identify prevention opportunities, and track corrective actions
• Translate recurring customer pain into evidence-backed feedback for Product and Engineering
• Create scalable improvements such as troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation
• Help shape the operating model, technical standards, and tooling for Premium Support as it grows globally

Full-stack Engineer

• Design and evolve services coordinating search classification, retrieval, ranking, and model inference
• Work with researchers and partner engineering teams to bring new capabilities into production
• Improve end-to-end latency, throughput, and infrastructure efficiency through profiling, caching, request routing, and capacity planning
• Balance search quality, reliability, and compute cost
• Build experimentation tooling and automation for reproducible A/B tests
• Define success metrics and measure product impact
• Use shadow traffic and load testing to validate system behavior and estimate capacity needs
• Support safe production rollouts
• Own production reliability through observability, resilient fallback behavior, incident response, and automation
• Build search APIs and tool interfaces enabling models and agents to retrieve information reliably
• Respect access controls and preserve source attribution
• Own projects from technical design through launch and iteration

Software Engineer, Search Infrastructure

• Troubleshoot complex technical issues for Premium Support customers, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents
• Analyze logs and system behavior, reproduce errors, test hypotheses, and isolate likely failure domains
• Identify root causes or provide clear hypotheses and evidence to accelerate Engineering investigations
• Serve as a trusted expert, critical escalation point, and technical backstop for strategic customers
• Own customer-specific responses to high-impact incidents
• Assess severity and business impact, initiate response paths, coordinate cross-functional responders, maintain ownership, and drive mitigation, resolution, and post-incident follow-through
• Communicate proactively with customer technical teams, business stakeholders, executives, and internal partners
• Develop and document customer architecture, integrations, dependencies, critical workloads, and operational constraints
• Partner with Go-to-Market and Technical Success teams on workload importance, prioritization, and communication
• Represent Support Engineering in customer meetings including QBRs
• Monitor integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps
• Prepare for launches, migrations, traffic increases, and business events through account-specific runbooks, escalation-path validation, support-readiness coordination, and heightened monitoring
• Lead or contribute to incident reviews and postmortems and track corrective actions
• Translate recurring customer pain into evidence-backed Product and Engineering feedback
• Create scalable improvements including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation
• Help shape Premium Support’s operating model, technical standards, and tooling as the function grows globally

Program Manager

• Own Security & IT M&A programs from diligence through Day 1 readiness, integration, onboarding, post-close priorities, and handoff to ongoing owners
• Support System Operations and engineering teams in defining and performing timely diligence assessments
• Scope, plan, and execute acquisition integrations
• Partner with Corporate Development, IT, Infrastructure, Application, Legal, Privacy, Security, GRC, Corporate Security, and other teams
• Clarify responsibilities and decision rights and bring in appropriate technical and risk experts
• Identify missed dependencies, bottlenecks, duplicated effort, and integration risks
• Establish scalable frameworks, processes, program goals, and success measures
• Build intake paths, playbooks, onboarding checklists, decision points, and handoff standards
• Use AI and automation to organize information, surface gaps, improve documentation, route work, and track follow-through
• Maintain visibility across deals, risks, milestones, and dependencies
• Measure readiness, manual-effort reduction, risk closure, and transition predictability
• Communicate status, risks, tradeoffs, and decisions to technical and executive audiences
• Own additional programs spanning Security and IT as priorities evolve

Security Program Manager

Financial Planning and Analysis

• Serve as the Strategic Finance partner to the Ads sales team, helping shape business strategy and investment decisions
• Support financial evaluation for the Ads business, including modeling revenue, establishing core metrics, identifying leading indicators, tracking variance to expectations, and surfacing risks and opportunities
• Partner with Product and GTM leaders on strategic initiatives and new product launches to shape growth plans
• Analyze business trends and translate data into actionable insights for long-term strategy and day-to-day decision making
• Build and scale financial planning rigor, including forecasting methodology, management reporting, and performance narratives
• Monitor market trends and competitive dynamics to refine financial strategies
• Prepare and deliver executive and Board materials communicating business performance, key drivers, and strategic recommendations

Strategic Finance, Ads

Machine Learning Engineer

• Set and execute the technical roadmap for Generative Insights and Predictive Experimentation from prototypes through production adoption
• Build cross-experiment learning systems that retrieve and synthesize historical experiments, detect recurring effects and segment behavior, reanalyze prior results, and generate evidence-backed hypotheses
• Develop predictive models and simulation workflows to estimate likely impact, affected segments, regression risk, and uncertainty before live experiments
• Create datasets and feature or retrieval pipelines from exposures, events, metrics, experiment metadata, and replay data
• Establish evaluation through offline benchmarks, backtests, calibration, drift monitoring, prediction-to-outcome comparisons, and explicit failure or abstention behavior
• Turn models into product, API, and agent workflows supporting experiment design, approval-gated action, and measured learning
• Partner with data science and product teams on experiment design, causal inference, sequential decision-making, variance reduction, and prediction versus causal evidence
• Build reliable services and intuitive workflows for high-stakes product decisions
• Provide technical leadership across engineering, product, data science, and research partners
• Raise production ML quality across the experimentation platform
• Collaborate with teams building ChatGPT, Codex, model measurement workflows, consumer products, Growth, business subscription experiences, developer products, and shared infrastructure

Machine Learning Engineer, Core Experimentation

• Join and help lead early customer conversations and workshops
• Bring manufacturing context to operators, technical leaders, and senior executives
• Surface and frame high-value manufacturing problems
• Advise FDE and account teams on fit, impact, constraints, and adoption considerations
• Partner with FDE and customer teams throughout delivery
• Keep solutions grounded in operational reality and identify manufacturing risks early
• Support customer adoption and measurable customer value
• Serve as the manufacturing expert across factory processes, production systems, operational constraints, and business tradeoffs
• Help win and expand strategic partnerships by shaping account strategy, executive engagement, use cases, buyer narratives, and commercial paths
• Establish an operating cadence across manufacturing pursuits and deployments
• Turn customer and factory-floor lessons into reusable discovery methods, launch standards, product-feedback loops, and recommendations
• Develop relationships across automotive, industrial and agricultural equipment, and consumer electronics sectors
• Move between executive conversations, working sessions, analysis, writing, and delivery follow-through
• Potentially grow into leading OpenAI’s manufacturing practice

Product Engineering Lead

Growth Marketing

• Set the company-wide vision, roadmap, and operating model for B2B lifecycle and owned-channel engagement
• Partner with Engineering, Product, Data Science, and Analytics to shape tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability
• Define scalable deployment workflows, including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response
• Translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization
• Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging
• Develop deep-linked landing and post-click product experiences that complete the loop
• Build a measurement system connecting reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through experiments and holdouts
• Optimize the small and medium business lifecycle portfolio through improved inventory, relevance, personalization, prioritization, and per-user frequency
• Inform owned-channel and upsell strategy
• Establish standards for deliverability, user preferences, localization, operational quality, and trust
• Influence senior stakeholders across the company

Growth – Lifecycle Lead, B2B

Technical Recruiter

• Lead full-cycle searches for engineering managers and senior engineering leaders across Applied Foundations
• Partner with hiring leaders to define role scope, leadership expectations, technical requirements, and successful-hire outcomes
• Develop talent maps and targeted search strategies using direct sourcing, referrals, market research, and long-term relationship building
• Engage passive leadership candidates through thoughtful outreach and substantive conversations
• Partner with hiring teams to assess leadership capabilities, including team building, manager development, technical direction, and leading through change
• Advise senior stakeholders with market intelligence and search evidence
• Recommend when to revisit requirements, broaden talent pools, or adjust hiring approaches
• Own complex closing strategies with hiring leaders and compensation colleagues
• Navigate competing opportunities, equity considerations, counteroffers, and career decisions
• Maintain rigorous operating rhythms across searches, communicate progress, surface risks early, and deliver a consistent candidate experience
• Strengthen leadership recruiting practices by sharing insights, improving assessment approaches, and helping teammates navigate challenging searches

Senior Technical Recruiter, Engineering Leadership

General

• Build and lead a team of technical and troubleshooting experts
• Serve as the last line of defense before the core Engineering team
• Partner with Engineering and customer teams to build systems for resolving escalated issues
• Engage senior internal or customer leaders and coordinate resources across teams
• Operationalize solutions from customer issues at scale
• Iterate on internal processes with Engineering, Go-To-Market, and vendor partners
• Influence product roadmaps and improve customer experience through support
• Manage team scaling and operations to deliver global 24x7 coverage, including holidays and weekends as needed
• Build strong customer relationships and ensure application success
• Ensure the team assists beyond its core remit
• Participate in the broader Support leadership team and build across the organization

Support Delivery Lead

• Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs
• Partner with Product, Design, and Growth to identify customer needs and shape technical direction
• Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights
• Develop reusable purchasing components and capabilities for launching and monetizing new products
• Collaborate with engineering and cross-functional partners on reliable purchasing experiences and product launches
• Lead initiatives from exploration and technical design through implementation, launch, and ongoing operation
• Set engineering standards and provide technical leadership through hands-on development, design reviews, and mentorship

Mobile / Full Stack Staff Software Engineer, Consumer Monetization

Product Marketing

• Contribute to product and marketing strategy for a defined area of OpenAI’s advertising business
• Conduct customer research, market analysis, and competitive analysis to understand advertisers and identify opportunities
• Develop and maintain product positioning and messaging for assigned products or features
• Translate complex AI capabilities into clear narratives for advertiser audiences and use cases
• Synthesize advertiser feedback and market insights for roadmap discussions and product decisions
• Execute go-to-market plans from planning through launch and post-launch adoption
• Create advertiser-facing content and sales enablement materials, including narratives, sales decks, one-pagers, FAQs, case studies, and launch communications
• Track success metrics and assess launch and adoption performance with Sales, Partnerships, Data Science, and Analytics
• Identify and escalate advertiser concerns and launch risks related to performance, safety, policy, and trust
• Coordinate cross-functional deliverables, responsibilities, timelines, dependencies, and blockers
• Document launch learnings, develop templates, and share effective practices

Product Marketing Manager, Advertising

• Define and build standardized, scalable M&A finance integration frameworks
• Drive consistent execution across multiple, simultaneous M&A integrations
• Ensure timely, accurate M&A diligence including historical financials, revenue, equity, tax, and procurement
• Lead integration planning for deal close readiness across accounting, valuation, payroll, banking, entities, and controls
• Translate deal terms and integration strategy into actionable workplans, timelines, and dependencies
• Ensure on-track deal execution accounting, operational integration, systems cutover, and reporting
• Proactively surface post-close deal integration risks and drive mitigation plans
• Own and scale OpenAI’s finance integration model
• Serve as the central point of accountability for finance workstreams across the full M&A lifecycle
• Partner across Accounting, Strategic Finance, Corporate Development, Equity, Procurement, Treasury, Risk, and Legal

Engineering Manager

Support Engineer

Support Engineer

Software Engineer, Search Infrastructure

Support Engineer

Security Program Manager

Strategic Finance, Ads

Machine Learning Engineer, Core Experimentation

Product Engineering Lead

Growth – Lifecycle Lead, B2B

Senior Technical Recruiter, Engineering Leadership

Support Delivery Lead

Mobile / Full Stack Staff Software Engineer, Consumer Monetization

Product Marketing Manager, Advertising

M&A Finance Integration Lead