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Salary: USD 135,000 - 175,000 / annual
Teal Health is building tools to expand access to cervical cancer screening and women's preventive health. The company offers at-home self-collection kits and is redesigning women's health with patient choice and experience at the center.
You will own lifecycle marketing strategy and execution across Teal's direct-to-consumer and B2B patient journeys. This role spans the full funnel: initial outreach and acquisition through screening completion, follow-up care, retention, and repeat engagement. You'll build and optimize personalized patient journeys using email, SMS, portal chat, direct mail, voice AI, and ringless voicemail to increase conversion, appointment attendance, kit return rates, abnormal follow-up adherence, and repeat screening participation.
Key responsibilities include:
- Designing and implementing lifecycle infrastructure, CRM systems, automation, and engagement tools to create a scalable, intelligent patient engagement engine
- Refining audience segmentation, behavioral triggers, and patient journeys to reduce friction and improve funnel movement
- Creating and executing structured testing programs across messaging, timing, channels, incentives, and patient experiences
- Owning lifecycle analytics, reporting, and funnel performance measurement to identify drop-off points and translate insights into actionable recommendations
- Partnering closely with product, growth, engineering, medical operations, revenue strategy, and customer support teams
- Managing HIPAA- and TCPA-compliant lifecycle communications and privacy-safe engagement practices
- Staying current on lifecycle marketing best practices, consumer behavior trends, and healthcare engagement innovations
Success in the first 12 months means establishing a fully operational, highly personalized lifecycle engine that measurably improves appointment completion, kit return rates, abnormal-result follow-up adherence, and repeat screening participation. You'll define lifecycle success metrics jointly with Revenue Strategy & Operations, build attribution models, and establish best-in-class patient engagement that drives both better health outcomes and business performance.
REQUIREMENTS:
- 5–8+ years of experience in lifecycle marketing, CRM, retention, growth marketing, or customer journey optimization with proven track record of measurable business impact
- Proven experience building and optimizing lifecycle programs and reporting dashboards across multiple channels and systems
- Strong experimentation discipline—designing tests and reading funnel data to identify what moves outcomes
- Strong working command of HIPAA and TCPA for patient communications; PHI-safe practices and proper consent/opt-out handling
- Experience building highly personalized customer journeys using lifecycle platforms such as HubSpot, Braze, Iterable, Salesforce Marketing Cloud, Customer.io, Klaviyo, or similar
- Strong analytical mindset with experience using customer and funnel data to identify opportunities and improve performance
- Strong ownership mentality with ability to move quickly in a fast-paced startup environment
- Exceptional communication, organization, and prioritization skills
PREFERRED:
- Experience in healthcare, health tech, digital health, wellness, or regulated consumer industries
- Experience with emerging patient-engagement channels—voice AI, ringless voicemail, patient in-portal messaging
- Fluency in long, non-linear patient journeys spanning months to years, with dormancy windows and re-engagement strategies
- Familiarity with HIPAA-compliant communications, patient engagement, healthcare lifecycle marketing, vendor/BAA diligence, and TCPA consent requirements
- Experience optimizing journeys tied to appointments, adherence, activation, or behavior change where completion carries clinical or financial weight
- Experience supporting B2B2C programs for health systems, employers, payors, benefits providers, or population health partners
- Experience with experimentation frameworks, segmentation/eligibility-based journey design, or predictive lifecycle strategies
