Technical Product Manager, AI and Data

Tiny Health; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Tiny Health seeks a Technical Product Manager for AI and Data to own the AI product roadmap and the underlying data foundation. You’ll align with engineering leadership and founders to translate rapid tech changes into a clear build sequence that moves the business forward.

You’ll ship AI experiences across customer segments, drive real adoption, and enforce evaluation standards for trustworthy health AI, while leading a small, fast-moving pod with engineers and data specialists.

Qualifications

• 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.
• Able to say clearly what a given AI technique will and won’t do for a specific product problem.
• Earn technical trust quickly, to the point where engineers pull you into technical decisions.

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.

Skills

Product management

Software engineering

AI

Technical judgment

Cross-functional collaboration

Stakeholder management

Trust with engineers

Remote collaboration

Decision making

Ownership

Tools

Slack

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 isn’t 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 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

Preferred

• 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

How we work

• Remote-First Company: our working hours follow a 2 hour window from 9 am - 6 pm CST

• Driven by an ambitious mission: we’re reinventing how we should think about wellness from the first 1,000 days to the last

• Shape what we build, not just how we build it : we prioritize experimentation with taking ownership, and moving fast

• No hidden agendas : we operate with full transparency because when everyone’s working from the same honest picture, you spend less time on politics and more time on impact

• High standards, human culture: we hold ourselves to a high bar and do it alongside a team who can laugh at themselves and make the hard days genuinely enjoyable

Our Values

1. Learn fast, be better (root cause analysis)

2. Be relentlessly resourceful (be scrappy)

3. Think like an owner (ownership)

4. Act with honesty and empathy (radical candor)

5. Delight people by anticipating their needs (create raving experiences)