Technical Product Manager, AI and Data

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

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

Learn fast, be better (root cause analysis) What that looks like: When a stakeholder gives constructive criticism to a test result, instead of just apologizing and moving on, you dig into why it happened and update the process so the feedback is not received again.

Be relentlessly resourceful (be scrappy) What that looks like: When a customer asks a question about our science, you you spend time digging through our docs and filtering through Slack for previous replies before pinging the team. You also know not to burn a whole day stuck, so you ask for help with a clear summary of what you've already tried.

Think like an owner (ownership) What that looks like: When you notice customer engagement is dropping, you don't shrug it off as another team's problem - you flag it, dig into the numbers, and bring a fix, because you're hungry to see the whole company win, not just your own tasks hit their targets.

Act with honesty and empathy (radical candor) What that looks like: When a colleague shares an idea that carries real risk, challenge in the moment and do it with kindness - don’t vent about it afterward in a side conversation.

Delight people by anticipating their needs (create raving experiences) What that looks like: You put yourselves in the shoes of the customer or collaborator before presenting an idea, process, or proposal. Think ahead about what their pain and gain points are, and curate your communication to address their needs.