Product Lead

Product Lead Role Details Full-Time. Office Location - New York City, Union Square (in office 4 days per week) Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7 and understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. Role Overview We're hiring a Product Lead to own one of Translucent's core Product verticals end to end – for example: Hospital & Service Line Performance Revenue Intelligence Supply Chain/ Pharmacy Compliance A vertical at Translucent isn't a feature area. It's an economic problem health systems are willing to pay for to solve, with a portfolio of products underneath it and a set of AI agents doing the work. You own the thesis, the roadmap, the products, the quality bar, and — most of all — whether real operators use it and can point to dollars. You are the single-threaded owner. Main Product approach: pick the right problems, ship fast, drive customer adoption, and prove the value in dollars a CFO or Operator will sign their name to. What You'll Do Own the vertical's thesis and roadmap — which economic problems we solve, which products sit underneath, in what order, and what we deliberately don't build Design and build AI agents that take action for high value workflows within the vertical Decide what agents do autonomously in your vertical versus what stays human-in-the-loop, and hold the accuracy bar with AI Engineering through real evals, not just spot checks Drive activation, not just shipped surface area. You're accountable for real personas logging in on a real cadence and acting on what they see Tie the vertical to realized dollars — revenue recovered, margin protected, manual work eliminated — documented and confirmed by the customer's finance leadership Go deep with operators: CFOs, VPs of revenue cycle, managed care, service line and department leaders. Turn messy institutional reality into sharp product decisions Build on shared foundational capabilities — stored contracts, external datasets, the context layer, the agent harness — and push the platform team when they need to be better Partner with GTM on pricing, packaging, and positioning, and be in the room on the deals your vertical needs to win Do the work: write the specs, build the prototypes yourself, run the QA, sit in onboarding sessions. We're small and everyone is comfortable wearing different hats. Grow the team around the vertical as it earns headcount, & set the bar for the PMs who join. What You Have 8+ years in product, including time as the senior-most product owner for a business line or product portfolio — not a single feature team A track record of moving an enterprise product from thin usage to genuine adoption, and the numbers to prove it. Deep domain knowledge in healthcare provider finance or operations —e.g. revenue cycle, payer contracting, service line economics, hospital operations, pharmacy drug margins, , physician productivity, etc. Take an abstract product concept from a customer or the sales teams, go deep in the domain, and produce a quickly vibe-coded prototype you’d feel comfortable to present to a customer for discovery to refine it Fluency with data-heavy products: you can read a data model and reason about where the data will betray you Direct experience shipping AI or agentic products in production, and a real point of view on where they fail and how to make them trustworthy Comfort being the accountable owner in a company that is allergic to shared ownership — you'd rather make a clear call and be wrong than diffuse the decision Executive presence with health system leadership: you can hold a CFO's attention, take a hard question, and not retreat into product jargon Startup realist: ready to sprint when priorities shift, jump into unfamiliar areas, and wear multiple hats AI-augmented operator: you use tools like Claude, Cursor, Gemini, and v0 to move materially faster than a traditional PM, with specific examples Bias toward action: you take an ambiguous problem to a working V1 quickly, then iterate against real feedback Excellent written communication. Most of our decisions get made in writing Ability to operate in chaos and bring structured organization to a quickly shifting ambiguous environment. Low ego, high curiosity. Since we're building net-new products with no established playbook, the strongest solutions come from listening, learning from your teammates, and being willing to be wrong. Nice to Have Any Agentic AI work or personal experience Hands-on familiarity with Epic (Clarity/Caboodle), Strata, Vizient, Premier, or comparable provider finance and decision-support systems Experience standing up a new product line 01 inside an existing company, with existing customers to sell into Early start-up experience P&L, revenue, or quota-adjacent ownership Experience hiring, leveling, and growing product managers Background in provider-side consulting, revenue integrity, or managed care strategy Experience Level We're looking for someone who steps in as a peer to our founders and existing product leadership from day one. You'll bring a clear thesis on where the value is in your vertical, the judgment to make sharp trade-offs under ambiguity, the credibility to hold the room with health system executives, and the discipline to measure yourself on live usage and realized dollars rather than roadmap output. Compensation Base Salary: $220,000 – $250,000 USD + equity #J-18808-Ljbffr