Technical Product Manager, AI and Data

Tiny Health; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Tiny Health is seeking a Technical Product Manager for AI and Data to own the AI and data roadmap, partnering with engineering leadership and the founders. You will translate fast-moving AI space into a clear build sequence and ensure work lands where it drives the business forward.

This role reports to the Co-Founder and COO and collaborates with AI engineers and the data engineer. You will guide what to build, set priorities, and maintain trust through rigorous evaluation standards essential

Qualifications

• 3 to 5 years in product management at PM or Senior PM level.
• 4 to 8 years hands-on engineering experience earlier in career.
• Shipped AI-powered products to production.
• Able to form own view in fast-moving technical space and defend it.
• Able to articulate what AI techniques will or won’t do for product problems.
• Earn technical trust quickly with engineers.

Responsibilities

• Own and sequence the AI and data roadmap with engineering leadership and founding team.
• Ship AI experiences to multiple customer segments and drive adoption.
• Hold AI work to trustworthy evaluation standards in health context.
• Lead a small, fast-moving pod and triage requests to maximize value.
• Partner with data engineering on analytics foundation leadership runs the company on.
• Define success metrics for features, review results, and kill what isn’t working.

Skills

Product management

Engineering experience

AI development

Data analytics

Prioritization

Job description

About Tiny Health

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.

What You’ll Do

• 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 isnt working

Qualifications

Required

• 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 wont 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