Product Marketing Lead, Privacy · OpenAI

Fri, 06 Mar 2026 18:41:49 GMT
marketing

OpenAI · San Francisco · $284K – $415K · hybrid

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