Job Posting
Product Marketing Lead, Privacy
Location
San Francisco
Employment Type
Full time
Department
Marketing
Compensation
$284K – $415K
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.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- 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)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 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)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
About the team
OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.
We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.
About the role
We’re looking for a Privacy Product Marketer to drive company-wide privacy narratives, strategy, and execution across our entire product portfolio. You’ll combine strong judgment with customer empathy and cross-functional leadership to translate privacy principles, user needs, and regulatory expectations into clear product requirements, crisp messaging, and scalable go-to-market readiness. This role is ideal for someone who thrives in ambiguity, enjoys influencing and aligning organizations and is energized by partnering deeply across teams to deliver trustworthy products.
Responsibilities
- Lead discovery to understand user expectations, enterprise requirements, and market dynamics related to privacy, trust, and data stewardship
- Translate privacy insights into clear product requirements and programs in close partnership with Product, Engineering, Legal, and Privacy/Policy stakeholders
- Partner with Design, Data Science, and Analytics to define success metrics for privacy experiences (e.g., comprehension, control adoption, incident reduction, support burden) and create measurement plans
- Identify privacy risk areas across the product lifecycle (data collection, retention, training use, access controls, sharing, third parties) and drive cross-functional mitigation plans
- Build clear, durable narratives and materials that explain privacy choices simply (e.g., product messaging, help center content, FAQs, internal enablement, exec-ready updates)
- Coordinate readiness across teams (Product, Legal, Comms, Support, Sales) so launches are accurate, consistent, and scalable
- Develop and maintain a privacy positioning framework across products—what we do, why it matters, and how we differentiate—while staying grounded in real product capabilities
- Continuously evaluate and improve existing privacy experiences to increase clarity, trust, and user adoption of controls
Requirements
- Have strong structured problem-solving skills—taking ambiguous privacy/trust problems, breaking them into answerable parts, and driving execution through to implementation
- Can connect user expectations and regulatory/partner requirements to product strategy, influencing prioritization across Product/Engineering/Design
- Have experience with privacy-adjacent domains (privacy UX, trust & safety, security, data governance, compliance, or responsible AI) and enjoy navigating complexity
- Communicate clearly and persuasively—turning nuanced policy/technical concepts into crisp user value and straightforward guidance
- Are fluent in qualitative and quantitative approaches (user research, surveys, funnel analysis, experimentation, support signals) and can turn insights into decisions
- Thrive in fast-paced, high-ambiguity environments and can manage multiple cross-company workstreams with strong judgment
- Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority
- Care deeply about building products that users can understand, control, and trust
Experience Level
Mid
Employment Type
Full time
Workplace Type
Hybrid
Category
Marketing
Industry
Technology
Salary Range
$284K – $415K
Required Skills
- Privacy UX
- Trust & safety
- Security
- Data governance
- Compliance
- Responsible AI
- User research
- Surveys
- Funnel analysis
- Experimentation
- Support signals
- Cross-functional leadership
- Strong judgment
- Customer empathy
- Data-driven approach
- Product strategy
- Messaging
- Scalable go-to-market readiness
Preferred Skills
- Product management
- Engineering
- Design
- Data science
- Analytics
- Marketing
- Sales
- Partnerships
- Research
- Comms
- Legal
- Policy
- Privacy
- Trust
- Safety
- Security
- Data governance
- Compliance
- Responsible AI
- User research
- Surveys
- Funnel analysis
- Experimentation
- Support signals
- Cross-functional leadership
- Strong judgment
- Customer empathy
- Data-driven approach
- Product strategy
- Messaging
- Scalable go-to-market readiness
