Product Manager, AI

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. 

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

Hims & Hers is redefining wellness and healthcare with a fully integrated consumer, clinician, and pharmacy experience designed for the way patients want to be treated today.

We are hiring a Product Manager, AI to lead the next generation of AI-powered experiences across our patient experiences. You’ll drive the roadmap for how AI shows up in our consumer journeys - guidance, education, adherence, and ongoing health support.

This role sits at the intersection of consumer experience, messaging, and provider workflows, requiring someone who can apply AI capabilities towards delightful, trustworthy and high-impact product experiences. You’ll work end-to-end: from shaping product vision and metrics, to partnering with engineering, data science, design, clinical, and operations to ship and iterate.

If you’re excited by building creative, AI products grounded in measurable health and business outcomes that make people feel better, this is the role for you.

• Drive AI projects and roadmaps across key journeys on the patient and messaging experience from 0 -1 concepts to global scale.

• Define clear problem statements, success metrics, and guardrails that balance user value, clinical safety, and business impact (engagement, adherence, LTV, provider throughput).

• Bridge patient and provider experiences, ensuring AI surfaces are coherent across patient interfaces, provider tools and internal workflows.

• Partner with Engineering, Data, and Applied AI teams to turn model capabilities (LLMs, agents, retrieval, personalization systems) into delightful user experiences

• Design AI systems with safety and trust as first-class: align with Care Operations, Clinical, and Legal teams to define escalation rules, failure modes, and safeguards

• Drive experimentation and continuous learning, using A/B tests, cohort analysis, and qualitative research to refine experiences and tune models against real-world outcomes.

• Champion grounding and truthfulness by integrating structured data, guidelines, and retrieval into AI flows, and by defining bar-raising evaluation standards for hallucination and safety.

• Work with Operations and Support teams to understand edge cases, failure scenarios, and operational load, folding those insights back into product and system design.

• Communicate clearly and crisply with executive stakeholders, surfacing tradeoffs, risks, and progress across a portfolio of AI initiatives.

• 3+ years of Consumer Product Management experience, with substantive experience building applied AI/ML-powered or data-intensive products

• A track record of shipping high-quality consumer experiences that drive engagement, retention, and measurable business outcomes.

• Familiarity with LLM-based systems (prompting, evaluation, retrieval, tools/agents, reinforcement or feedback loops).

• Strong product sense for consumer guided experiences (e.g., assistants, flows, onboarding, or habit-forming products) and how to keep them intuitive, simple and trustworthy.

• Demonstrated ability to define and iterate on metrics, including user-level (activation, retention), system-level (goal completion, latency), and safety/quality metrics.

• Background in A/B testing, causal inference, or experimentation platforms for consumer-facing products.

• Operate with radical accountability: own outcomes end-to-end

• Excellent cross-functional communication and influence skills that builds trust across disciplines and seniority levels.