Technical Product Manager, AI and Data

Summary

Tiny Health is advancing lifelong health through precision microbiome science, proprietary AI, and longitudinal data. The Technical Product Manager, AI and Data will own the AI product roadmap and underlying data foundation, partner with engineering leadership and founders, ship trustworthy AI experiences, and drive measurable business adoption.

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

• • 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

Qualifications

Must Haves

• • 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

Benefits

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