Note: The job is a remote job and is open to candidates in USA. Blueberry Pediatrics provides AI-enabled pediatric urgent care through home exam kits and 24/7 access to pediatricians. The Product Manager will own clinical efficiency, defining measurable objectives and strategy for clinician workflows, analyzing data and user needs, modeling cost and impact, and partnering with clinical, operations, and engineering teams to deliver improvements using AI responsibly.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Skills
- • 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
- • 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
Benefits
- The role will have a bonus target in 2027.
- Equity will also be included.
Company Overview