Forward Deployed Product Manager, AI Assistant
Listed on 2026-06-07
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Language/Bilingual
Technical Support
Forward Deployed Product Manager, AI Assistant
Employment Type
Full time
Location TypeHybrid
DepartmentProduct
Compensation- $100K – $165K
The Product team at Ellipsis Health builds and deploys voice‑based AI systems that operate inside real clinical and operational workflows. We partner closely with Customer Success, Engineering, and Commercial to ensure our platform is not only innovative but operationally deployable and scalable across complex healthcare environments.
About the roleWe’re hiring a high‑agency Forward Deployed Product Manager, AI Assistant to own the end‑to‑end delivery of Sage — our conversational voice AI care manager — in real customer environments.
Every new customer deployment is a product launch. New workflows, new edge cases, new integration requirements, and new ways the agent needs to behave in live clinical and operational settings. This role exists to own that launch from scoping through go‑live.
This is not a traditional roadmap‑focused product role. You will work directly with health plans, providers, and operational leaders to translate their needs into shipped agent behavior — gathering requirements from customers, configuring Sage to match their workflows, and validating that what we build works in the real world, not just on paper.
You will operate at the intersection of Product, Engineering, and Customer Success, shaping workflows, defining integrations, guiding configuration decisions, and ensuring solutions are deployed successfully in production environments. You’ll also own the customer‑facing roadmap for each deployment: defining requirements, sequencing what gets built, and aligning stakeholders on trade‑offs.
This role combines product ownership with hands‑on agent configuration, translating requirements into shipped agent behavior using prompts, guardrails, and evaluations. You’ll work at the forefront of applying cutting‑edge language models and voice technology in live clinical environments, helping organizations scale patient engagement in ways that were not previously possible.
This is a remote US‑based role with occasional travel for key customer engagements.
Who we’re looking for
We’re looking for a sharp, high‑agency problem solver who can command a room with operational leaders and dive into technical details with engineers on the same day.
You are structured in your thinking, calm under pressure, and proactive in solving problems before they happen. You’re deeply accountable for delivering something that works in the real world — not just on paper — and energized by the fact that each deployment is a fresh product launch with its own constraints and edge cases.
You are highly detail‑oriented and organized, capable of translating messy workflows, scripts, training guides, and FAQs into clear product decisions. You’re comfortable learning new technical systems quickly and are motivated by being close to both the product and the customer.
What you’ll own- Customer Discovery & Workflow Design: Lead structured discovery sessions to understand customer workflows, operational constraints, data needs, and integration requirements. You don’t just gather requirements — you challenge assumptions, clarify trade‑offs, and guide customers toward scalable solutions.
- Agent Configuration & Customization: Design and configure Sage to meet customer needs while balancing scalability and product integrity. Translate requirements into agent logic and behavior — including prompts, guardrails, and tooling — and validate that configurations perform correctly in real production environments.
- Technical Deployment Leadership: Own the product layer of implementations end‑to‑end: integration coordination, data mapping, configuration management, UAT support, and go‑live readiness. When something isn’t working, you drive it to resolution — you don’t hand it off and wait.
- Requirement Translation & Engineering Partnership: Translate customer needs into clear product requirements, user stories, and acceptance criteria for Engineering. Write specs that are unambiguous: inputs, tools, data flows, failure modes, and success criteria.
- Evaluation & Quality: Define what “good” looks like…
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