Technical Product Manager, AI and Data Tiny Health · US · ai​/ml

Location Type:
Remote

Location:

United States;
Canada

Employment Type:

Full Time

Department:
Product & Design

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   and  

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.

• 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

• 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

• 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

• A mission that actually pulls people inWe make the microbiome measurable and actionable at every life stage, and real people write in to say it's life-changing.
• Remote‑first, real overlap
  
  Our FTEs are based in North America and work core hours from 9am–6pm CST, shiftable by up to two hours either way — start at 7am or 11am, wrap at 4pm or 8pm.
• Written first, huddle second, meet last Default to a clear Slack…