Product Manager

Role Overview Journey ownership Own discovery → evaluation → booking → pre-visit confidence. Remove friction and uncertainty with transparent information and safe guidance. AI-assisted UX Ship AI features (e.g., curated answers, provider matching, safety nudges) using retrieval and guardrails; instrument quality and costs. Trust & safety Embed our policies (no medical advice, CPOM awareness, HIPAA boundary) into UX. Balance speed with safety and compliance. Experimentation Hypothesis → design → A/B test → causal analysis → rollout. Maintain a clear metric tree and avoid local maxima. Cross-functional Partner with Design, Eng, Data, Provider Ops, and Legal. Communicate trade-offs in writing (PRDs, briefs, postmortems). Area Summary Journey ownership Own discovery → evaluation → booking → pre-visit confidence. Remove friction and uncertainty with transparent information and safe guidance. AI-assisted UX Ship AI features (e.g., curated answers, provider matching, safety nudges) using retrieval and guardrails; instrument quality and costs. Trust & safety Embed our policies (no medical advice, CPOM awareness, HIPAA boundary) into UX. Balance speed with safety and compliance. Experimentation Hypothesis → design → A/B test → causal analysis → rollout. Maintain a clear metric tree and avoid local maxima. Cross-functional Partner with Design, Eng, Data, Provider Ops, and Legal. Communicate trade-offs in writing (PRDs, briefs, postmortems). Outcomes You'll Drive Higher qualified bookings and patient satisfaction (NPS/CSAT) with measurable uplift.Reduced time-to-answer and drop-off via AI-curated guidance and safer defaults.Improved provider responsiveness through smarter routing and expectation setting.Clearer signals of quality (verified reviews, profile completeness, ServiceScore™ inputs).Fewer escalations through proactive safety nudges and "right next step" UX. Success Metrics (Illustrative KPIs) Qualified booking rate Definition: Bookings that meet geo/treatment/availability criteria and pass fraud checks. Guardrails: No increase in cancel rates; maintain response SLAs. Decision latency Definition: Time from first visit to inquiry/booking. Guardrails: No rise in misroutes or safety escalations. AI answer quality Definition: Offline eval + human review pass rate for curated answers/guides. Guardrails: No medical advice; privacy boundary respected. Patient satisfaction Definition: Post-booking CSAT/NPS for patient journey. Guardrails: Bias/representation checks; access equity. Cost efficiency Definition: Revenue or bookings per AI/infra dollar. Guardrails: Quality and safety metrics stay green. Metric Definition Guardrails Qualified booking rate Bookings that meet geo/treatment/availability criteria and pass fraud checks. No increase in cancel rates; maintain response SLAs. Decision latency Time from first visit to inquiry/booking. No rise in misroutes or safety escalations. AI answer quality Offline eval + human review pass rate for curated answers/guides. No medical advice; privacy boundary respected. Patient satisfaction Post-booking CSAT/NPS for patient journey. Bias/representation checks; access equity. Cost efficiency Revenue or bookings per AI/infra dollar. Quality and safety metrics stay green. 30/60/90 Plan First 30 days Map current patient journeys, metrics, and pain points; review safety & privacy constraints.Ship a small, high-signal improvement (copy, ordering, default) with an A/B. Days 31–90 Own a multi-step initiative (e.g., AI-curated evaluation guide or smarter provider matching).Establish a metric tree and an experiment backlog; publish a public (internal) roadmap. Requirements Must-have 4+ years as a Product Manager shipping user-facing experiences at scale. Strong experimentation skills (A/B, metrics, causality basics); clear PRDs and crisp writing. AI-aware product sense: knows when to use retrieval, prompts, and guardrails vs. classic UX/IR. Comfort with data: funnels, cohorts, retention; partner tightly with Data/Eng. Excellent collaboration across Design, Eng, Ops, and Legal. Nice-to-have Healthcare marketplace, UGC/reviews, or trust & safety experience. Familiarity with privacy concepts (consent, minimization, retention), HIPAA boundary, and CPOM sensitivity. Light technical depth (e.g., understands APIs, search, RAG at a conceptual level). Must-have Nice-to-have 4+ years as a Product Manager shipping user-facing experiences at scale. Strong experimentation skills (A/B, metrics, causality basics); clear PRDs and crisp writing. AI-aware product sense: knows when to use retrieval, prompts, and guardrails vs. classic UX/IR. Comfort with data: funnels, cohorts, retention; partner tightly with Data/Eng. Excellent collaboration across Design, Eng, Ops, and Legal. Healthcare marketplace, UGC/reviews, or trust & safety experience. Familiarity with privacy concepts (consent, minimization, retention), HIPAA boundary, and CPOM sensitivity. Light technical depth (e.g., understands APIs, search, RAG at a conceptual level). AI-First Expectations (PM) Outcomes over hype Use AI where it measurably helps patients decide and book safely. When a simpler UX or search improvement beats AI, choose the simpler path. Define problems that AI can realistically improve; avoid overreach into medical advice.Work with Eng to set quality bars (offline eval sets, human review, red-team prompts).Design guardrails: privacy boundary, prompt injection resistance, safe defaults and disclosures.Instrument cost/latency/quality; maintain dashboards and review weekly.Document decisions and model/dataset provenance; plan fallbacks and rollbacks. Privacy boundary No medical advice. Do not route PHI or consumer health data to non-approved endpoints. Prefer retrieval of vetted content and clear hand-offs to providers. Research, Experiments & Quality Discovery What you'll do: User interviews, log reads, heatmaps, support tickets; define JTBD and "critical paths." Quality gates: Clear problem statement; ethical/privacy review. Design What you'll do: Low-fi → hi-fi; content and empty-state strategy; AI vs. non-AI trade-offs. Quality gates: Legal/safety sign-off for sensitive flows; localization plan. Experiment What you'll do: Ship behind a flag; A/B with pre-declared metrics; run length and power checks. Quality gates: Guardrail metrics monitored; rollback criteria defined. Launch What you'll do: Gradual ramp; announce changes; update help/FAQ; provider comms as needed. Quality gates: Post-launch review; incident playbook ready. Phase What you'll do Quality gates Discovery User interviews, log reads, heatmaps, support tickets; define JTBD and "critical paths." Clear problem statement; ethical/privacy review. Design Low-fi → hi-fi; content and empty-state strategy; AI vs. non-AI trade-offs. Legal/safety sign-off for sensitive flows; localization plan. Experiment Ship behind a flag; A/B with pre-declared metrics; run length and power checks. Guardrail metrics monitored; rollback criteria defined. Launch Gradual ramp; announce changes; update help/FAQ; provider comms as needed. Post-launch review; incident playbook ready. Hiring Process Apply 2–5 business days Resume/CV + short note on a product you shipped end-to-end and an AI decision you made (use vs. don't use). Screen ~1 week 30 min with recruiter/hiring manager on fit, metrics mindset, and AI fluency. Deep dive ~1 week Case study on patient journey and experimentation; writing sample (brief/PRD). Practical 3–7 days Time-boxed take-home or prior work review (includes a light eval/guardrail exercise). Panel ~1 week Cross-functional conversations; collaboration, trade-offs, and ethics. Offer 48–72 hours Comp band, benefits, start date. Background check post-offer where lawful. Step What to expect Typical time 1) Apply Resume/CV + short note on a product you shipped end-to-end and an AI decision you made (use vs. don't use). 2–5 business days 2) Screen 30 min with recruiter/hiring manager on fit, metrics mindset, and AI fluency. ~1 week 3) Deep dive Case study on patient journey and experimentation; writing sample (brief/PRD). ~1 week 4) Practical Time-boxed take-home or prior work review (includes a light eval/guardrail exercise). 3–7 days 5) Panel Cross-functional conversations; collaboration, trade-offs, and ethics. ~1 week 6) Offer Comp band, benefits, start date. Background check post-offer where lawful. 48–72 hours Accommodation requests: email care@clinicbooking.com with subject "Interview Accommodation". Apply Email your application with your resume/CV and 1–2 short case studies showing metrics impact. If available, include a sample PRD/brief and any AI trade-off analysis you've done. Apply Now Notices Equal Opportunity: We welcome applicants of all backgrounds and do not discriminate on any protected basis.Right to work: Work authorization required; export-control compliance may apply.Privacy: Your data is handled per our Applicant/Candidate Privacy Notice and Records Retention Summary. Owner/Operator: Spyface Tech Company, LLC (d/b/a "ClinicBooking"). Address: 30 N Gould St Ste N, Sheridan, WY 82801, USA Contact: hello@spyface.com (corporate), care@clinicbooking.com (talent). Related: All roles Privacy Policy Terms of Service Code of Conduct