Senior Product Manager, Care Delivery

Responsibilities

• Own roadmap for Thyme Box: set the roadmap and drive execution across core care team surfaces including work prioritization and routing, tasking and next best actions, communications, navigation and summarization of clinical information, and automated documentation — from discovery through rollout and adoption.
• Make the care team dramatically more efficient: identify where time and clicks are lost across workflows done hundreds of times a day, and ship the measurement, improvements, and automations that move real productivity metrics and allow care team members to operate at the top of their licenses.
• Lead the AI-native evolution of care delivery: drive the strategy and delivery of AI-powered capabilities — supporting processes, automating documentation, and providing decision support — determining where AI can augment or automate human work while safeguarding clinical safety, trust, and quality.
• Ground every decision in the care team's reality: spend time with nurses, social workers, care partners, NPs, and medical directors; understand their workflows deeply; and translate messy clinical and operational processes into clean, extensible tooling.
• Manage competing priorities with clarity: field and triage requests from Care Delivery operations, clinical leadership, enrollment, and compliance (e.g., NCQA), and make transparent, defensible calls about what to build now, later, or never.
• Own quality and reliability: run bug triage and release coordination for a platform people depend on in real time, balancing stability with velocity.
• Partner across the org: work hand-in-hand with engineering, service design, clinical leadership, Care Delivery ops, data science, training, and quality to deliver workflows that actually stick and change behavior on the ground.
• Leverage AI to accelerate your own work: stay on the frontier of AI tooling and apply it to sharpen your discovery, specs, analysis, and prototyping.

Requirements

• 6+ years of product management experience, with significant time owning complex, workflow-heavy software used by real operators.
• Healthcare experience required, preferably in care delivery, digital health, or value-based care models where care delivery execution directly impacts clinical or financial outcomes.
• Track record of shipping efficiency and workflow improvements that moved measurable outcomes — not just features, but features that are broadly adopted and drive meaningful behavior change.
• Experience translating ambiguous, cross-functional processes (clinical, operational, or otherwise) into clear product requirements engineering can build against.
• Proven ability to manage a high volume of competing requests and stakeholders while keeping a clear, defensible prioritization framework and building strong, trusting cross-functional relationships.
• Comfort operating close to the technical details — data models, edge cases, automations, and the downstream impact of implementation decisions.
• A strong perspective, based on practical experience, about AI's potential to transform how work gets done — you're constantly tinkering with new AI tools and thinking about how they reshape what's possible for the people you serve.
• Strong written and verbal communication, with the ability to translate between technical and non-technical audiences in both directions.
• Experience operating in fast-moving, ambiguous environments where you defined the path forward.

Nice-to-Haves

• Experience in oncology, serious illness / palliative care, or chronic condition management.
• Hands-on experience shipping AI/LLM-powered product features, including safety guardrails, evaluation, and quality measurement.