Product Marketing Manager, Wellbeing (Contract)

GreenLight Workforce Solutions•San Francisco, CA

7h•Hybrid

About The Position

OpenAI’s Brand & Reputation team helps people understand its technology, the value it can bring to their lives, and the work OpenAI does to earn their trust. Product marketing connects audience needs with product development, positioning, and go-to-market strategy. For wellbeing, the team partners with Product, Engineering, Research, Design, and Safety to understand how people use ChatGPT, identify unmet needs, and inform product priorities. It translates product capabilities and safeguards into clear value propositions, launches, and education that help people make informed choices. Wellbeing communications require particular care: they must set accurate expectations, explain product limitations, and help people recognize when human support is appropriate. The work spans users of all ages, with guidance tailored to each experience and audience. The Product Marketing Manager will own positioning and go-to-market strategy for ChatGPT experiences related to wellbeing, including mental health and additional safety interventions. The role develops a deep understanding of user needs and product behavior, bringing research, feedback, and market insights into product and roadmap decisions. Working within Brand & Reputation, the manager partners with Product, Engineering, Research, Design, and Safety from early product development through launch and ongoing use, connecting what is built with how people understand and experience it. The role combines strategic thinking, analytical judgment, and hands-on execution to define audiences, articulate product value, and lead launches. Success means helping people discover, understand, and appropriately use wellbeing features, with clear expectations about their benefits and limitations. Strong writing judgment and care when communicating about sensitive topics are important.

Requirements

Have led consumer product marketing where trust, safety, health, or privacy shaped positioning and launch decisions.
Write clear, empathetic copy about complex product behavior.
Explain limitations and uncertainty accurately and without unnecessary alarm.
Have coordinated launches requiring careful review across technical, policy, legal, and communications teams.
Use qualitative research, competitive analysis, user feedback, and product data to inform product priorities, test positioning, and evaluate launch outcomes.
Be comfortable personally writing briefs, positioning, FAQs, and launch materials.
Adapt plans as product capabilities and priorities evolve while keeping collaborators aligned.

Nice To Haves

Experience with wellbeing, mental health, safety, or family-related products and communications.
Experience marketing sensitive consumer features in technology, health, or financial services.
Familiarity with AI products and the challenges of explaining evolving capabilities.

Responsibilities

Develop audience insights and positioning using user research, competitive analysis, verified product capabilities, feedback, and safety signals.
Partner with Product and Research to identify unmet user needs and bring audience insights into product strategy, roadmap priorities, and the end-to-end user experience.
Lead product marketing for launches, including naming, positioning, messaging, user education, and coordinated rollout.
Write messaging frameworks, launch briefs, approved claims, and FAQs.
Partner with Communications and other content owners on newsroom and blog copy, spokesperson and partner briefs, Help Center content, and in-product guidance.
Work with Product, Research, Design, Safety, Policy, Legal, and Communications to resolve questions and prepare accurate launch materials.
Keep wellbeing messaging consistent across relevant product experiences, web pages, support materials, and partner communications.
Plan rollout and education with Growth, Lifecycle, and Communications partners.
Define and measure launch success with Product, Research, and Data Science, including feature discovery, understanding, appropriate adoption, and user feedback.
Use findings to inform product improvements, user education, and future launches.