At a Glance
- Tasks: Lead product development to enhance user experiences and drive patient satisfaction.
- Company: Join a forward-thinking tech company focused on healthcare innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on AI-driven solutions and user safety.
- Why this job: Make a real difference in healthcare by improving patient journeys with cutting-edge technology.
- Qualifications: 4+ years in product management with strong skills in experimentation and collaboration.
The predicted salary is between 63000 - 77000 £ per year.
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).
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: Bookings that meet geo/treatment/availability criteria and pass fraud checks. Guardrails: No increase in cancel rates; maintain response SLAs.
- Decision latency: Time from first visit to inquiry/booking. Guardrails: No rise in misroutes or safety escalations.
- AI answer quality: Offline eval + human review pass rate for curated answers/guides. Guardrails: No medical advice; privacy boundary respected.
- Patient satisfaction: Post-booking CSAT/NPS for patient journey. Guardrails: Bias/representation checks; access equity.
- Cost efficiency: Revenue or bookings per AI/infra dollar. Guardrails: 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).
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
- User interviews: log reads, heatmaps, support tickets; define JTBD and "critical paths." Quality gates: Clear problem statement; ethical/privacy review.
- Design: 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: Ship behind a flag; A/B with pre-declared metrics; run length and power checks. Quality gates: Guardrail metrics monitored; rollback criteria defined.
- Launch: Gradual ramp; announce changes; update help/FAQ; provider comms as needed. Quality gates: Post-launch review; incident playbook ready.
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).
Product Manager in Harrow employer: Clinic Booking
At ClinicBooking, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Located in the scenic Sheridan, WY, we offer our employees meaningful growth opportunities, competitive benefits, and a commitment to work-life balance, all while driving impactful change in the healthcare marketplace through cutting-edge AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager in Harrow
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Clinic Booking!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Clinic Booking would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Clinic Booking through your school's career services!
We think you need these skills to ace Product Manager in Harrow
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager position at Clinic Booking. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Clinic Booking
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
