Technical Product Manager, AI and Data
Technical Product Manager, AI and Data
L6
Occupations
Information Technology Project ManagersComputer and Information Systems ManagersData Warehousing Specialists- 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 onDefine what success looks like for every feature before it ships, read the results after, and be willing to kill what isn't working
- Required3 to 5 years in product management, currently operating at a PM or Senior PM level4 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
- PreferredConnect 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 itExperience in healthcare, life sciences, or another regulated data environmentExperience supporting or scoping a data warehouse or analytics buildout
- Experience in a fast-paced, resource-constrained startup environmentExperience working with distributed teams across multiple time-zones
- Experience in DTC health/wellness companies
- How We WorkRemote-First Company: our working hours follow a 2 hour window from 9 am - 6 pm CSTDriven 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
- What that looks like: You deliver your output when it creates value, not when it's perfect. After, you continuously monitor it and improve it over time.
- Be relentlessly resourceful
- What that looks like: When faced with a blocker, you map three alternative solutions, highlight your favourite, justify why, and seek quick feedback from your team.
- Think like an owner
- What that looks like: When something needs to get done, you own it, communicate cross-functionally, and see it across the finish line.
- Act with honesty and empathy
- What that looks like: When a colleague shares an idea that carries real risk, you challenge it in the moment and do it with kindness.
- Delight people by anticipating their needs
- What that looks like: You put yourselves in the shoes of the customer or collaborator before presenting an idea, process, or proposal, and curate your communication to address their pain points.
Level
LeadL6
Location
Denver, CO
Occupation
Information Technology Project Managers
Industry
Custom Computer Programming Services
Posted
today
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