The OpportunityWe're looking for a Product Manager to own clinical efficiency as a core objective within the urgent care business. Your north star is to help our doctors deliver excellent care to more families, in less time, with less friction, and make the economics of pediatric virtual care work at scale.
You will own the strategy and roadmap for how our clinicians work: how they triage, document, communicate with families, and move through a visit. You'll live in the problem space, combining quantitative analysis of visit and workflow data with qualitative time spent alongside clinicians, and translate what you learn into a prioritized set of bets. You'll build the cost/impact models that decide which ones are worth making, then partner closely with clinical, operations, and engineering to ship those bets. Throughout, you'll treat AI as a core lever much of the efficiency frontier here runs through applying AI responsibly to real clinical workflows.
What You'll OwnOwn clinical efficiency as a business objective- Own doctor clinical efficiency as a key, measurable objective within the urgent care business
- Define what "efficiency" means in concrete metrics (e.g., visits per clinician-hour, time-to-resolution, documentation burden, message-to-visit ratio) and set targets against them
- Be accountable for moving those numbers while holding clinical quality and clinician experience constant or better
Strategy and roadmap- Develop and execute the strategy and roadmap for achieving the business's clinical-efficiency goals
- Sequence initiatives against impact, effort, and risk; make explicit trade-offs and keep stakeholders aligned on why
- Maintain a clear, current view of where the roadmap stands and what's coming next
Problem-space analysis- Deeply understand the problem space through both quantitative and qualitative analysis: visit data, workflow telemetry, and time spent watching clinicians actually work
- Turn observations into a prioritized, evidence-backed set of opportunities rather than a wish list
- Distinguish the friction that's worth removing from the friction that's load-bearing for quality or safety
Cost and impact modeling- Build models that estimate the cost and impact of potential initiatives before we commit to them
- Use those models to defend prioritization decisions and to forecast the operational and financial effect of shipped work
- Close the loop by measuring realized impact against the model and feeding that back into the next round
Cross-functional partnership- Build strong working relationships across clinical, operations, leadership, and engineering
- Partner with the clinical team to ground product decisions in real care delivery, and with operations to make sure changes land cleanly in day-to-day workflows
- Communicate clearly and often with leadership on direction, progress, and trade-offs
Engineering partnership and delivery- Partner with engineering to deliver projects on time and on budget
- Write crisp specs, make fast and reversible decisions where you can, and unblock the team when you can't
- Own delivery outcomes, not just the plan
AI leverage- Leverage AI to extend and expand what you can deliver - in the product itself (clinical workflow tooling, documentation, triage) and in how you work (analysis, modeling, synthesis, prototyping)
- Stay close to industry advancements in clinical and AI workflows and bring those possibilities into the roadmap
Experience You'll Need- 3-6 years of product management experience, ideally shipping to a defined, measurable objective
- A track record of moving metrics through shipped product - not just managing a backlog
- Strong quantitative instincts: comfortable pulling, analyzing, and reasoning from data, and building simple cost/impact models
- Strong qualitative instincts: able to sit with users (here, clinicians), see the real workflow, and separate signal from anecdote
- Clear written and verbal communication; able to build trust and alignment across clinical, ops, engineering, and leadership
- Comfort operating with ambiguity in a fast-moving environment where the operating manual is still being written
Preferred Qualifications- CS or other technical degree (nice to have)
- Experience at a health-tech or med-tech startup (nice to have)
- Experience building products for clinicians, care teams, or other expert operators
- Fluency with applying AI/LLMs to real workflows - knowing both what they unlock and where they fail
- Experience with virtual or hybrid care delivery, or an understanding of telehealth workflow constraints
- Comfort with operational and unit-economics modeling
Expected salary for this role is $130,000 - $150,000 depending on location and experience. The role will have a bonus target in 2027. Equity will also be included.
