
Product Marketing Lead, API Models & Research
Primary stack
Job description
About the Position
Product Marketing Lead, API Models & Research
San Francisco
About the Team
The Product Marketing team shapes how OpenAI brings its research, models, and products to market. We work across Research, Product, Engineering, Sales, Communications, and Marketing to translate technical advances into clear customer value, compelling market narratives, and go-to-market strategies that drive meaningful adoption.
About the Role
We’re looking for a senior product marketing leader to shape how OpenAI’s models and research are understood and adopted around the world. You’ll work directly with frontier research teams to understand emerging capabilities and translate them into compelling product strategies, market narratives, and customer experiences.
Your scope will span frontier models, specialized models for cybersecurity and life sciences, multimodal capabilities, and the API portfolio that makes these systems accessible to developers and businesses. You’ll build and lead the team responsible for helping customers understand what our models can do, how they’re evolving, and how to deploy them responsibly.
Responsibilities
- Define the product marketing strategy for OpenAI’s models, research advances, and API portfolio.
- Embed with Research, Product, and Engineering to understand model capabilities, evaluations, limitations, and technical tradeoffs.
- Shape how OpenAI explains advances in AI to developers, business leaders, and the broader market.
- Lead positioning, launches, demonstrations, and adoption strategies across frontier, specialized, and multimodal models.
- Help customers navigate model selection, API access, privacy, security, and responsible deployment.
- Bring customer and market insights into research and product decisions.
- Partner with Sales, Solutions, Partnerships, and regional teams to develop customer narratives, use cases, and enablement.
- Work with Communications, Safety, Policy, and Legal to ensure technical claims are accurate and grounded.
- Build and lead a high-performing product marketing team and define success across understanding, adoption, and API usage.
Requirements
- 12+ years of experience in product marketing across AI, developer platforms, enterprise technology, cloud, or other complex technical products.
- Passion for product marketing and storytelling.
- Experience in building and leading product marketing teams or functions.
- Ability to understand sophisticated technical systems and explain them clearly without losing nuance.
- Experience working closely with research, engineering, or advanced product development teams.
- Proven track record in leading major launches and sustained adoption strategies across a product portfolio.
- Strong judgment in positioning, technical storytelling, and executive communication.
- Understanding of how developers and enterprises evaluate APIs, model capabilities, security, and privacy.
- Ability to operate effectively across senior stakeholders and move between strategic leadership and hands-on execution.
Workplace & Location
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required.
About the Company
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are 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.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
We Offer
- Competitive compensation
- Hybrid work model
- Relocation assistance
- Opportunity to shape the future of AI
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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