Senior Technical Product Manager
Job type: Full Time · Department: Product · Work type: On-Site · USD 180000 - 200000 / year
Mountain View, California, United States
At Sully.ai, We’re Building the Most Impactful Healthcare Company on Earth
We believe that access to a great doctor is a basic human right. Today, that’s not a reality. Our mission, One Human, One Doctor, drives us to build AI teammates that augment clinicians, solving the healthcare problems of delays, misdiagnoses, and burnout.
We're hiring a Senior Technical Product Manager to own and drive the technical product roadmap—from agentic workflows to clinical-grade infrastructure—working shoulder-to-shoulder with engineering. We need some one who can ship fast deliver measurable improvements to inference speed, accuracy, and workflow automation.
Own deep product context and ensure anyone can answer “why does the product do this?” with clear rationale.
Translate ambiguous ideas into clear product goals, success metrics, and technical requirements.
Partner tightly with engineering, ML, and design to drive fast, high-quality execution.
Document core product features, architecture, dependencies, and decision rationale.
Establish and maintain a single source of truth for product specs, roadmaps, and priorities.
Gather and synthesize customer workflows and feedback to inform product decisions.
Make timely tradeoff decisions and involve the right stakeholders when needed.
Former SaaS/AI founder backed by top-tier VCs/YC or first-in-function operator who’s scaled a product from 0→1 (and beyond).
5+ years as a Technical Product Manager owning end-to-end delivery of complex software or AI/ML products.
Hands-on experience in SaaS, AI, or healthtech with familiarity in FHIR/HL7 integrations and HIPAA-aligned PHI handling.
Proven cross-functional execution with engineering, ML/NLP, data, design, and customer teams.
Bachelor’s degree in CS, Engineering, Data Science, or equivalent technical field.
Ship at least one major infrastructure or agentic workflow upgrade with measurable improvements in latency, accuracy, or reliability.
Implement a data-driven model evaluation and feedback pipeline that reduces hallucinations.
Achieve alignment across engineering, ML, and clinical stakeholders on a unified 6-month roadmap for AI medical employee capabilities.
🔥 Revolutionizing the antiquated $800B+ Healthcare market
🧠 50%+ of us are ex-founders. We hire A-players, not passengers
⚡️ Speed matters - we operate with urgency, autonomy, and ownership
🧪 You’ll work on real, first-of-their-kind problems at the edge of AI and medicine
❤️ Your work helps doctors reclaim their time - and patients get better, faster care
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