Senior Product Manager, AI

The opportunity

What you’ll own

• Define and launch AI-native experiences that transform genomic data into personalized, conversational guidance people can use throughout their lives.
• The roadmap and PRDs for Sequencing AI's post-launch intelligence features: persistent memory, personalization, proactive guidance, agentic reasoning over health data, and voice.
• A rapid prototype-to-decision loop: approved PRDs into working agentic prototypes on production architecture, framed by explicit test criteria, reviewed weekly.
• Evaluation as a release gate: eval suites, LLM-as-judge and human-annotation workflows, and the accuracy thresholds a release must clear. In a health product, response quality is the product.
• Product analytics and experimentation to drive retention, engagement, and clinically meaningful outcomes for existing members.
• Run a tight execution and iteration loop using A/B testing, user feedback, analytics, customer research, and market signals to continuously improve the product and accelerate learning.
• Partner closely with AI engineers and bioinformatics scientists to improve the quality, trustworthiness, personalization, and usefulness of AI-generated health guidance.
• Translate complex genomic science into clear, trustworthy, and intuitive consumer experiences in partnership with Bioinformatics.
• Champion the customer in every planning discussion, ensuring every feature answers meaningful questions, builds trust, and delivers measurable value.
• Help shape the future of AI-powered personalized health by defining products that have the potential to fundamentally change how people understand themselves, manage their health, and make decisions throughout their lives.

Who you are

• Deep, current AI expertise with an AI-first instinct. AI is your default tool for solving problems, you track the frontier of what models and agents can do, and you build with it hands-on rather than managing from a distance.
• You build agentic systems. Proven, hands-on experience designing and shipping agentic systems in production and in front of real users: multi-agent orchestration, tool use, memory, RAG, prompt and skills design, and evaluation loops.
• 7 to 10 years in product management, including 2 to 3 or more years shipping production LLM/gen-AI products to real consumers (not prototypes or internal tools).
• Real AI-evaluation experience (eval suites, LLM-as-judge, human-annotation loops) used as quality gates.
• Excellent PRD craft; consumer product taste, ideally on native mobile; strong analytics and experimentation instincts.
• Comfortable being hands-on: you can prototype, read traces, and reason about model and orchestration trade-offs with engineers.
• Trust-and-quality-first. Bonus: healthcare, genomics, or regulated-domain experience; voice or conversational interfaces.
• Proven ability to work autonomously in early-stage, startup, or highly ambiguous environments, turning unclear problems into clear plans and shipped products.
• US-based and experienced working in fully remote teams.

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