Product Owner - Clinical AI Tools · knownwell

Fri, 17 Apr 2026 12:39:29 GMT
Engineering

knownwell · San Francisco · remote
Join knownwell, a dynamic company changing the way care is delivered to patients with obesity. As a Product Owner - Clinical AI Tools, you will define and own the product vision, strategy, and roadmap for Clinical AI tools. This is a hands-on role with no PM layer above you, requiring you to be hands-on in the codebase, designing and iterating on RAG pipelines, evaluating model outputs, tuning retrieval strategies, setting the product roadmap, partnering directly with clinicians, and aligning stakeholders across the organization. Responsibilities: * End-to-End Product Ownership: Define and own the product vision, strategy, and roadmap for Clinical AI tools with no PM layer above you. * RAG Pipeline Design & Iteration: Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support: chunking strategies, embedding models, vector database design, retrieval and reranking approaches, and evaluation frameworks. * Prompt Engineering & Model Behavior: Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs. * AWS Infrastructure: Deploy and maintain scalable, HIPAA-compliant AI infrastructure on AWS. * Clinical Data & Integration: Work with healthcare data sources (EHR-adjacent, structured and unstructured clinical content) and integrate AI outputs into clinical workflows in ways that are accurate, auditable, and safe. * Clinical Stakeholder Partnership: Own the relationship with clinicians and clinical operations directly , there is no PM intermediary. * Technical Collaboration: Partner with backend and frontend engineers to integrate AI capabilities into the broader product. * Staying Current: Actively track developments in applied AI research, RAG techniques, and agentic workflow design. * Stakeholder Communication & Alignment: Translate technical AI concepts and tradeoffs for clinical and operational stakeholders. Requirements: * 5–8 years of experience in software or AI/ML engineering, with a meaningful portion in applied AI product development. * Hands-on experience building and operating RAG systems in production. * Strong Python skills; comfortable building pipelines, writing evaluation harnesses, and iterating on model behavior programmatically. * SQL proficiency sufficient to query data independently, pull your own product metrics, and answer analytical questions without waiting on a data team. * Experience deploying AI workloads on AWS; familiarity with relevant services (e.g., Bedrock, SageMaker, Lambda, RDS/Aurora, S3) and the tradeoffs between them. * A product mindset , you think about user problems and outcomes, not just technical implementation, and you can write a clear spec as readily as a pull request. * Experience with API design and integration, and the ability to collaborate closely with frontend and backend engineers without being a bottleneck. * Healthcare or regulated-domain experience preferred; you understand why accuracy, auditability, and safe failure modes matter more in clinical contexts than in most. * Familiarity with LLM safety tooling (e.g., guardrails, output validation frameworks) and an instinct for where AI systems can fail quietly. Additional Information: * Pay & Perks: Fully remote opportunity, medical, dental, and vision insurance, 401K retirement plan with company match, up to 20 days of PTO per year + company holidays, up to 14 weeks of parental leave (12 for non-birthing parents), annual work from home stipend for remote employees.