Product Manager

Ovii's Interpretation of the Role

The Product Manager will own an LLM‑powered conversational care assistant, shaping strategy, safety, and performance to deliver high‑quality musculoskeletal care. Collaboration with engineering, design, data science, clinical, legal and compliance teams drives member engagement and reduces care‑team workload.

Role Snapshot

• Own LLM‑driven conversational product
• Define product strategy, safety, and performance
• Drive member engagement and retention
• Reduce care‑team workload through automation
• Partner with cross‑functional teams

Must-Have Requirements

• Product Management
• AI-driven software product development
• LLM-powered product experience
• Strong analytical skills
• AI-driven software

Nice-to-Have Signals

• AI safety and guardrails
• Healthcare or regulated environment background
• Collaboration with clinical teams
• Building member‑facing products at scale
• Familiarity with prompt design, evaluation frameworks, and LLM performance measurement
• AI safety
• healthcare

Work Setup

• Location: San Francisco, USA
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Define and execute the product strategy, safety, and performance for the LLM conversational assistant
• Create baselines and evaluation frameworks for engagement, conversation success, and care‑team workload
• Ship improvements—new use cases, conversation flows, and safety guardrails—that move key KPIs
• Increase member engagement by delivering timely, personalized guidance
• Reduce care‑team workload by expanding safe automation of member needs
• Iterate continuously on prompts, workflows, escalation logic, and quality metrics
• Scale the assistant across additional product areas with cross‑functional partners

Good Fit If You Have

• Experience building AI‑driven products
• Direct work with LLM‑powered conversational interfaces
• Comfort with prompt design and performance measurement