Ellipsis Health
Forward Deployed Product Manager, AI Assistant
$100K–$165K
United States - Remote +1 · Remote · Manager · Full-time · Posted May 1, 2026
- Location
- United States - Remote
San Francisco - Hybrid - Experience
- 2–4 years of demonstrated product aptitude; relevant ownership experience may come through internships, consulting, research, startups, or technical roles.
- Education
- Bachelor’s degree in engineering, computer science, economics, business, or a similarly rigorous field. Preference for a Computer Science background, or similar/equivalent technical experience.
About the job
Own end-to-end deployment of Sage, Ellipsis Health’s voice AI care manager, translating customer workflows into configured, tested solutions for live healthcare environments.
What you'll do
- Lead customer discovery, workflow design, integration coordination, UAT, and go-live readiness.
- Configure agent behavior using prompts, guardrails, and tooling; define evaluations and monitor deployment quality.
- Translate customer needs into engineering requirements, advise client stakeholders, and feed deployment learnings into product improvements.
What they ask for
- 2–4 years of demonstrated product aptitude, including solving complex problems and delivering structured solutions.
- Bachelor’s degree in engineering, computer science, economics, business, or a similarly rigorous field.
- Experience in a high-responsibility setting with accountability for real outcomes.
- Strong client-facing communication, technical fluency, structured problem solving, and project follow-through.
Nice to have
- Preference for a Computer Science background or similar/equivalent technical experience.
- Preference for San Francisco-based or West Coast-based candidates; exposure to APIs, data structures, integrations, LLMs, or software development is preferred.
Pay
$100,000-$165,000 USD (base salary); $100K – $165K (compensation, type not specified)
Tools
Sage, prompts, guardrails, APIs, data structures, integrations, LLMs
AI focus
Configure and deploy a conversational voice AI care manager in clinical and operational workflows, including agent behavior, prompts, guardrails, and evaluations.
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