Jobs and Careers

Senior Product Manager, AI

United States, United StatesRemotefull_timeVerifiedPosted 8 Jun 2026

About the role

The Opportunity

As Senior Product Manager, AI, you will own one of the most ambitious product initiatives in consumer health: transforming the human genome into an interactive source of lifelong guidance powered by AI. You will own the future of Sequencing’s AI platform that enables people to interact with their DNA through natural conversation and receive personalized guidance throughout their lives. This is not a traditional product management role. At the convergence of AI, genomics, consumer technology, and personalized health, you’ll help create an entirely new category of products that enable people to interact with their DNA and receive personalized guidance throughout their lives.

As part of Sequencing’s AI Team, reporting directly to the Founder & CEO, you’ll work alongside leaders across Product, Engineering, Bioinformatics, and Design to transform emerging AI capabilities into experiences that will fundamentally change how humanity understands itself, manages health, and extends healthy lifespan.

The ideal candidate is deeply AI-native, highly entrepreneurial, obsessed with customers, and motivated by building technology that can change lives at global scale.

What you’ll own

Own the long-term vision, roadmap, and product strategy for Sequencing AI, helping define how people will interact with their DNA and personalized health information over the next decade.
Define and launch AI-native experiences that transform genomic data into personalized, conversational guidance people can use throughout their lives.
Rapidly evaluate emerging AI capabilities, models, agents, and workflows, turning the most promising innovations into production-ready consumer experiences.
Partner closely with AI engineers and bioinformatics scientists to improve the quality, trustworthiness, personalization, and usefulness of AI-generated health guidance.
Own product analytics, experimentation, and success metrics, using data to drive adoption, engagement, retention, model quality, and business outcomes.
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.
Translate complex genomic science into clear, trustworthy, and intuitive consumer experiences in partnership with Bioinformatics.
Partner with Engineering to build reliable, scalable, and high-performance experiences across mobile, web, and AI-powered product surfaces.
Build and optimize onboarding, engagement, retention, and conversion experiences that help users continuously benefit from their DNA throughout their lives.
Champion the customer in every planning discussion, ensuring every feature answers meaningful questions, builds trust, and delivers measurable value.
Collaborate across Product, Engineering, Bioinformatics, Design, Growth, and Customer Success to align priorities and deliver exceptional customer experiences.
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

5+ years of product management experience shipping consumer-facing SaaS, healthtech, ecommerce, AI, or subscription products end to end.
Comfortable building products where no established playbook exists.
Significant experience with native mobile apps, iOS/Android app store lifecycle, app engagement, retention, and mobile product analytics.
Incredibly strong attention to detail across specs, timelines, user experience, acceptance criteria, analytics, and cross-functional execution.
Proven experience launching AI products that reached real consumers, not just prototypes or internal tools.
Strong intuition for consumer AI experiences, conversational interfaces, personalization, and products that people use repeatedly over time.
Ability to productize emerging AI architectures, including multi-agent workflows, memory systems, personalization engines, tool use, and orchestration frameworks.
Experience leading LLM, agent, automation, machine learning, or AI-powered product features from prototype to scaled production.
Familiarity with LLM product concepts such as prompt design, RAG systems, AI evaluations, response quality, safety guardrail