Senior Product Manager

Prosper Health • New York, NY

6d • Hybrid

About The Position

We’re hiring our first Product Manager to drive what we build and hold us accountable for whether it works.
We have product lines that are working and need to scale, new bets we haven’t figured out yet, and AI experiments that could reach many more people. You’ll look across all of it, frame hard tradeoffs, make clear recommendations, and own the outcomes.
You’ll own the research, analysis, and recommendations that shape what we build and why. You’ll define metrics, track whether they moved, and hold the team (and yourself) accountable. If the number doesn’t move, that’s on you.
You’ll report to the Head of Engineering and work closely with the CEO. This role is based in our Chelsea (NYC) office, hybrid 2-4 days per week in-person. You’re joining a 7-person engineering team and a product designer. We need someone who brings analytical rigor, user insight, and decision-making discipline that helps us move faster and bet better.
If you’re excited by turning ambiguity into clarity, moving fast in a high-stakes environment, and building something that has never existed for neurodivergent adults, this role is for you.

Requirements

• Have ~5-8 years of professional experience, ideally with time in startups or similar environments
• Strong analytical thinking and comfort with data
• Use AI to accelerate your own work and your team’s work, and can think about how it can be used in products
• Deeply curious about users.
• Communicate clearly across engineering, ops, and leadership, with the backbone to push back and the humility to change your mind
• Find a way to deliver results: scrappy, high-ownership, and willing to fill gaps
• Proficient in spreadsheets, know SQL or can learn it quickly, and build your own dashboards

Nice To Haves

• been a first PM
• worked on AI/LLM products
• are genuinely passionate about neurodivergent care

Responsibilities

• Keep us focused on the right problem. And make sure our solution solves it at the leanest possible scope; push for the 80% version.
• Ensure engineering is never blocked on what to build next. Engineers should always have clear context on the problem, the user, and why it matters.
• Run discovery that drives decisions. Talk to clients, clinicians, and ops.
• Own metrics and drive accountability. Define success metrics, build dashboards, track outcomes, and run growth reviews. If something isn’t moving, figure out why and fix it.
• Filter and prioritize requests. Make sure problems are real, the proposed metric is correctly identified, and it’s the highest-leverage thing to work on right now.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed