OpenAI

Growth Marketing

• Own the performance creative system end-to-end across paid, lifecycle, in-product, and creator/influencer channels - defining the operating model that connects strategy, production, experimentation, measurement, learning, iteration.
• Set the creative growth strategy and testing roadmap by turning product priorities and business goals into sharp hypotheses, test plans, and creative frameworks that scale across audiences and markets.
• Translate insights into high-quality briefs partnering with Product, Data Science, Media, and Marketing to convert user insight + product value + performance signals into clear direction for internal teams, agencies, and creators.
• Build compounding learning loops: establish a system where results are captured, codified, shared, and reused (what worked, why, where it generalizes), and where learnings influence both creative output and product/roadmap decisions.
• Partner with Product & Engineering to build the AI-powered creative system - shaping requirements and prioritization for AI-powered capabilities (dynamic content, automated asset generation, experimentation tooling, optimization systems, measurement instrumentation).
• Raise creative velocity and signals without sacrificing quality: improve cycle time, creative coverage, and experiment quality (clean tests, consistent taxonomy, strong measurement) so decisions get faster and more reliable over time.
• Lead cross-functional collaboration and knowledge sharing: align stakeholders, drive decisions, unblock production, and ensure the creative pipeline stays healthy across product lines and launches in alignment with overall marketing messaging
• Scale influencer-led performance creative - define how we brief, produce, iterate, and measure creator content as a performance lever

Growth, Cross Channel Creative

Data Scientist

• Own the FinEng Measurement Strategy
• Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.
• Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability.
• Partner with Finance to ensure alignment between product metrics and financial reporting.
• Lead and Scale Experimentation
• Build and oversee the experimentation program for in-house checkout and subscription systems.
• Define staged rollouts, guardrails, and offline incrementality methods when online testing is constrained.
• Raise the bar on causal rigor across monetization decisions.
• Build and Lead the FinEng DS Team
• Hire, mentor, and grow a team of high-impact data scientists.
• Set the technical direction for experimentation, causal inference, and monetization analytics.
• Create operating rhythms that translate insights into shipping decisions.
• Drive Global Monetization Optimization
• Lead analytics for international payment method expansion, FX strategy, and pricing localization.
• Reduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.
• Develop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.
• Build Durable Data Infrastructure
• Partner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.
• Establish SLIs/SLOs, alerting, and proactive monitoring across payment flows.
• Ensure analytics scales with product and geographic expansion.

Data Scientist, FinEng

Manager

• OpenAI is seeking a highly organized and skilled Policy Manager with exceptional writing, analytical, program management, and strategic thinking abilities to join our Global Affairs team, in the Policy Development and Operations team.
• The Policy Development and Operations team is responsible for identifying, tracking, and analyzing emerging legislative and regulatory proposals globally.
• They lead and coordinate the development of global public policy positions that are informed by legislative trends and OpenAI’s unique technical expertise, coordinate policy campaigns across regions, and integrate regional perspectives in order to represent Global Affairs in company-wide initiatives such as product launches.
• Reporting to the Head of Policy Development and Operations, you will play a central role in developing proactive policy positions by working closely with regional teams to analyze legislative and regulatory proposals and provide issue-area expertise.
• You will synthesize legislative trends and regional insights, apply cross-functional perspectives, and exercise policy judgement to clearly articulate key decisions, trade-offs, and areas of alignment or disagreement.
• This role will include a broad range of policy issues with a focus on AI Safety as one central part of your portfolio.
• You will also work closely with our safety systems, product, and product policy teams to understand OpenAI’s safeguards and translate that understanding into policy relevant insights, analysis, and proactive proposals.

Safety Policy Manager – Global Affairs

DevOps Engineer

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
• Influence joint account strategy and technical direction for high-priority opportunities.
• Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
• Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.
• Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.
• Guide AWS and partner teams through customer opportunities from early ideation to architecture design, prototyping, and production deployment.
• Act as a technical decision-maker and escalation point, de-risking complex implementations.
• Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
• Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.
• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
• Establish best practices for scalable, secure, and production-ready GenAI systems.
• Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.
• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
• Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
• Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.
• Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.
• Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
• Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.
• Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

Partner AI Deployment Engineer – AWS

Product Marketing

• Define our sales enablement strategy by identifying obstacles and gaps and prioritizing initiatives that will support our GTM teams in achieving and succeeding our goals.
• Partner closely with Product, Product Marketing, Adoption, Deployment, and other teams to build internal and external facing collateral that will support the GTM team in best selling to and serving our customers.
• Build, manage and automate information and collateral that GTM team members need in order to be effective in their roles.
• Manage the regional Sales and Technical Success training calendar and run trainings that may include new process roll-outs, product launches, and other programs to make the teams more effective in their roles.

GTM Enablement Lead

Procurement

• Develop and execute sourcing strategies across GTM, Brand, Global Affairs, Events, Growth, and Partnership activities—spanning both B2B and B2C channels—that align with our mission and business objectives.
• Lead the strategic sourcing, procurement, and supplier relationship management of key partners across media planning and buying, creative and production, creator/influencer, agencies, communications, sponsorships, partnerships, events, research, and analytics.
• Lead and develop a lean, high-performing team of direct reports and contractors while remaining deeply hands-on in complex negotiations and high-volume deal execution; accountable for team output, execution quality, stakeholder experience, and scaling the function effectively.
• Negotiate high-value and high-visibility commercial agreements that optimize cost, improve flexibility, and support time-sensitive launches, campaigns, placements, and partnerships.
• Partner closely with Marketing, Creative & Production, Growth, Partnerships, Finance, Legal, and other cross-functional stakeholders to understand business priorities and align sourcing strategies accordingly.
• Oversee a complex GTM supplier ecosystem, ensuring supplier scalability, rapid onboarding, seamless activation, and timely service delivery across multiple concurrent workstreams.
• Identify and implement cost and commercial optimization strategies without compromising quality, speed, business impact, or launch readiness.
• Enable major campaigns, brand moments, partnerships, and events by building sourcing approaches that can operate effectively under compressed timelines and evolving business requirements.
• Monitor market trends, supplier capabilities, and emerging GTM commercial models to inform sourcing decisions and maintain a competitive advantage.
• Provide strategic insights on spend, supplier performance, cycle times, savings, and sourcing initiatives to senior leadership to support fast, informed decision-making.
• Ensure compliance with internal policies and external regulations while designing fit-for-purpose procurement pathways that reduce friction and maintain appropriate risk controls.
• Build repeatable commercial pathways, templates, and approval mechanisms that reduce cycle time and minimize repeated Legal, Finance, and Procurement review.
• Standardize sourcing and contracting approaches for recurring GTM motions such as media activations, production SOWs, creator/influencer engagements, and partnership structures.
• Manage a portfolio that includes both large strategic negotiations and high-throughput transaction volume, balancing speed, rigor, and stakeholder experience.
• Support executive-priority GTM and brand initiatives that may involve nontraditional suppliers, culturally relevant activations, and bespoke commercial structures.

Strategic Sourcing Leader – Go-to-Market

Marketing

• Build and execute startup field marketing programs from planning through onsite delivery and post-event follow-up
• Support flagship OpenAI startup experiences including Founder Days, Builder Lounges, hackathons, workshops, and ecosystem activations
• Partner with cross-functional stakeholders to align programming, audience strategy, messaging, and follow-through
• Help scale repeatable event playbooks and operational processes across markets and program types
• Track program performance, attendee engagement, and operational learnings to continuously improve execution quality
• Ensure OpenAI’s startup presence consistently reflects a high-quality, founder-centric, and technically credible brand experience.

Field Marketer

Content Marketing Manager

• Define OpenAI's startup co-marketing content strategy across channels and audience segments
• Build social-first series featuring founders and builders using OpenAI in real workflows
• Partner with field/event teams to capture, package, and publish content from startup programs
• Translate high-performing field moments into snackable content formats and recurring series
• Partner with social, startup GTM, customer marketing, PMM, and comms to align narrative, timing, and distribution
• Build editorial systems and playbooks to scale output without losing quality or technical credibility
• Track performance and business impact, and evolve formats based on data and feedback

Content Marketer

Full-stack Engineer

• Keep large-scale RL training runs moving by jumping into the most urgent engineering and infrastructure problems.
• Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure.
• Solve hard technical problems at the boundary between research and engineering: scaling experiments, improving training reliability, debugging distributed systems, reducing latency and cost, and making new capabilities robust under real workloads.
• Improve reliability and efficiency for RL training runs.
• Help researchers who are developing infra-heavy integrations, such as multi-agent capabilities or memory.
• Turn recurring operational issues into better tools, systems, processes, or abstractions.
• Work closely with research, infrastructure, and partner teams during tight model run timelines.
• Become useful quickly in messy, ambiguous areas where ownership matters more than a perfectly scoped project.
• Debug failures that cut across model behavior, training data, RL systems, evaluation infrastructure, serving systems, and agent harnesses, then turn those failures into hypotheses, fixes, and durable improvements.

Software Engineer, RL Training Infra

Events

• Own the third-party field events portfolio, including partner summits, industry events, sponsored conferences, and high-priority external field activations.
• Build annual and quarterly planning processes that align events to Sales priorities, industry strategies, partner goals, account targets, and pipeline needs.
• Define event goals, target audiences, account lists, seller ownership, executive engagement, and post-event follow-through.
• Manage sponsorship strategy, event packages, vendor relationships, agencies, budgets, timelines, staffing models, and on-site execution.
• Build scalable playbooks for different event tiers, from major tentpoles to smaller industry moments.
• Partner with Product Marketing, Content, Comms, Design, and Production to ensure message, experience, demos, sessions, and executive presence are cohesive.
• Partner with Marketing Operations to track event performance, pipeline impact, account engagement, meetings, opportunity progression, and post-event conversion.
• Build and manage the resourcing model needed to execute third-party events consistently and efficiently.

Enterprise 3P Field Events Lead

Financial Planning and Analysis

• Own financial visibility and performance management across OpenAI’s international business, including regional revenue, growth, investment efficiency, and operating metrics.
• Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets.
• Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies.
• Develop executive-level reporting and financial narratives to help leadership understand international business performance and inform strategic decision-making.
• Coordinate cross-functional planning and forecasting processes across international regions, ensuring alignment between regional teams, Strategic Finance, Data Science, GTM, and Corporate Finance.
• Help establish scalable operating frameworks and governance processes that enable OpenAI to manage a rapidly growing global business with increasing rigor and consistency.
• Drive international business reviews and recurring operating cadences, helping leadership track progress against regional goals and quickly surface emerging issues.
• Partner across the finance organization to support public-company-readiness initiatives and improve the quality, consistency, and scalability of international reporting.
• Help design and implement agentic workflows and AI-enabled operating processes that improve financial visibility, forecasting, and execution across global teams.

Strategic Finance, International

• Shape the future of AI-powered scientific research by building backend systems and full-stack product experiences across Prism and Codex
• Develop AI-native workflows for paper writing, literature review, paper understanding, research synthesis, and scientific knowledge exploration, designing systems that can work across complex technical content, heterogeneous sources, and evolving research questions.
• Partner closely with researchers and domain experts across biology and adjacent scientific disciplines to understand real research workflows, identify high-leverage opportunities for AI, and translate ambiguous scientific needs into useful, trustworthy product capabilities.
• Build AI-powered tools for scientific data analysis and simulation, helping researchers explore complex datasets, design and run computational experiments, interpret results, and iterate on models or hypotheses more efficiently.
• Help establish the product, platform, and engineering foundations for fast-moving 0 → 1 efforts across the Core Science organization, balancing rapid experimentation with the rigor, reliability, and quality required for tools used in research.

Software Engineer, Core Science

Client Partner

• Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution
• Own and achieve a defined revenue target within an assigned territory or vertical
• Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth
• Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback
• Structure and negotiate complex commercial agreements
• Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives
• Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals
• Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies
• Maintain rigorous pipeline management and accurate revenue forecasting

Regional Client Partner, Ads Solutions

• Identify high-potential SMB customers and use cases that demonstrate practical AI adoption, speed to value, improved work quality, secure rollout, and measurable business value.
• Develop mini-stories, quotes, proof points, stats, builder spotlights, short-form stories, and reusable assets for web, webinars, lifecycle, paid/social, demand generation, the SMB advocate community program, and sales.
• Create repeatable paths for sourcing, approving, tagging, and refreshing customer proof by audience, use case, customer need, and trust theme.
• Stand up and run an SMB advocate community storytelling program that surfaces customer workflows, builder projects, and team use cases from launches, webinars, Academy/customer experience moments, and customer-facing channels.
• Coordinate with Product Marketing, Content, Creative, Comms, Legal, Events, and SMB GTM to ship high-quality customer-facing work.
• Track performance of SMB customer proof by audience, channel, asset format, field usage, campaign contribution, and adoption impact.

Customer Marketing Manager, SMB

Customer Success Manager

• Own relationships with a portfolio of advertising partners, serving as their primary point of contact.
• Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products.
• Analyze campaign performance and provide clear, actionable recommendations to improve outcomes.
• Identify opportunities to expand partnerships through increased product adoption and incremental investment.
• Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value.
• Surface advertiser feedback and insights to inform product improvements and long-term strategy.
• Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem.