# Product Owner - Clinical AI Tools

**Company**: knownwell
**Location**: San Francisco
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://jobs.lever.co/knownwell/263a5523-c582-42a9-a01c-36f4b1194397
**Canonical**: https://yubhub.co/jobs/job_8e0df7db-183

## Description

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.

## Skills

### Required
- Python
- RAG systems
- AWS
- SQL
- API design
- LLM safety tooling