Color Health
Sr. Product Manager - Patient Services
South San Francisco, California · Senior
Sponsorship not specified$170k-$200kDetected 75 days ago
SQLLLMsA/B TestingProduct ManagementCustomer SuccessPatient CareCommunication
About the role
- Evolve the patient app from a transactional surface into a motivational, self-serve entry point that connects each patient to their next best action
Responsibilities
- Own the strategy, roadmap, and execution for Color's patient-facing product, including the patient home dashboard, lifecycle and re-engagement journeys, in-treatment and survivorship support, and emerging surfaces like peer support and targeted entry points
- Own and drive patient engagement metrics, including service activation, re-engagement rate, and screening completion
- Design and execute engaging lifecycle journeys across email, push, in-product, and other channels - partnering with engagement marketing and our clinical team to orchestrate cohesive cross-channel experiences
- Work with engineers, designers, data scientists, clinicians, and care operations partners to deliver patient-facing product changes that improve patient outcomes
- Embed AI deeply into the patient experience to deliver more personalized, motivational, and actionable interactions at scale
- Collaborate with and drive alignment across clinicians, care operations, AI platform team, engagement marketing, sales, legal and customer success to balance patient outcomes, patient experience, customer ROI and business goals
- Drive AI adoption in both how the team builds and what it builds
- Champion Color's culture and lead by example - we work hard and also have fun doing it!
- Build the lifecycle engagement system that re-activates patients past their 1-year enrollment anniversary and drives durable engagement across the cancer care journey
- Fluency with experimentation and product analytics; comfort defining metrics, designing tests, and reading results to drive decisions
Nice to have
- 5+ years of product management experience, with a track record of shipping excellent logged-in consumer experiences that drove measurable engagement, retention, and activation outcomes
- Demonstrated ownership of lifecycle and re-engagement programs - designing, instrumenting, and iterating on cross-channel journeys (in-product, email, push, SMS) against clear engagement key results
- Fluency with experimentation and product analytics
- Experience using and experimenting with AI as an unlock in solving product problems and in daily work
- Experience integrating AI/LLM-powered features into consumer products
- Proficiency in SQL
- Possible Projects To Contribute To:
- Re-imagine the patient home dashboard as a personalized, AI-driven entry point that surfaces each patient's next best step in care
Skills
- Excellent communication skills - able to break down complex topics, adjust to your audience, and align stakeholders
Compensation
- The actual base pay is dependent upon many factors, such as:
- The base pay range is subject to change and may be modified in the future.
- $170,000 - 200,000/yr
Benefits
- In addition to personalized direct medical care, our services include cancer genetics risk assessment, nutrition, mental health support and at-home cancer screening diagnostics.
- Using technology-driven, patient-centric solutions, Color is transforming how employers, unions, health plans, and governments address cancer.
- Color's goal is to close critical cancer care gaps, improve cancer outcomes, and guide patients with empathy through their healthcare journeys.
- You're great at building products people love to use that also improve their health.
- Experience working in healthcare, health tech, or another regulated/high-trust consumer domain where clinical quality, safety, or compliance shapes product decisions
- This role may also be eligible for equity and benefits.
Apply directly at Color Health →Create a free account for alerts like thisView Color Health immigration profile
This listing is sourced directly from Color Health's careers page and normalized into a canonical job model.