Technical Product Manager, AI and Data

Tiny Health

1d•Remote

About The Position

Tiny Health is advancing lifelong health, from the first 1,000 days to the last, and addressing chronic disease through precision microbiome science. Founded in 2020 and built by microbiome scientists and physicians, our testing platform reveals whether your microbiome is trending toward resilience or imbalances using shotgun metagenomics, proprietary AI, and one of the world's largest longitudinal datasets. Trusted by families and health practitioners alike, our research-backed gut and vaginal tests are redefining the microbiome as a cornerstone of personalized health through every life stage. Learn more at tinyhealth.com and poweredbytiny.com. The Opportunity Tiny Health has the most detailed gut microbiome data available anywhere, and turning that into intelligence people can act on is one of the more interesting AI problems in health right now. We've shipped our first AI experiences and we're building toward considerably more ambitious ones. What we don't have is someone owning where it all goes. As our Technical Product Manager for AI and Data, you'll own the roadmap for our AI product and the data foundation underneath it. You'll set direction alongside our engineering leadership and founders, translate a fast-moving technical space into a clear sequence of what to build, and make sure the work lands where it moves the business rather than where it's most interesting to build. This role reports to our Co-Founder and COO and works day to day with our VP of Engineering, our AI engineers, and our data engineer.

Requirements

3 to 5 years in product management, currently operating at a PM or Senior PM level
4 to 8 years hands-on engineering experience earlier in your career as a software engineer or in a similar technical role
Shipped AI-powered products to production, not just prototypes or internal experiments
Able to form your own view of what to build in a fast-moving technical space and defend it against a credible alternative, rather than deferring to whatever is trending
Able to say clearly what a given AI technique will and won't do for a specific product problem, including what would have to be true for it to fail
Earn technical trust quickly, to the point where engineers pull you into technical decisions rather than routing around you

Nice To Haves

Connect near-term decisions to their 12-month consequences and name the tradeoffs you're accepting
Move skeptical decision-makers with your argument rather than your authority, and take a clear position when hedging would be safer
Comfortable structuring messy data and defending a conclusion when pushed on it
Experience in healthcare, life sciences, or another regulated data environment
Experience supporting or scoping a data warehouse or analytics buildout
Previous experience in a fast-paced startup environment
Work experience in DTC health/wellness companies
Experience working remotely, with proficiency in Slack
Self-directed, proactive, and comfortable with ambiguity

Responsibilities

Own and sequence the AI and data roadmap, working directly with engineering leadership and the founding team to decide what gets built and in what order
Ship AI experiences to multiple customer segments, and drive real adoption rather than launches
Hold AI work to the evaluation standards that make it trustworthy in a health context
Bring focus to a small, fast-moving pod, triaging incoming requests so engineers spend their time on the highest-value work
Partner with data engineering on the analytics foundation leadership runs the company on
Define what success looks like for every feature before it ships, read the results after, and be willing to kill what isn't working