Forward Deployed Product Manager, AI Assistant

Ellipsis Health, Inc.; San Francisco (CA); Hybrid; USD 100,000 - 165,000; Full time

Benefits offered by this job

401(k) matching up to 4%

Health, vision, and dental insurance

Flexible paid time off

Job summary

Ellipsis Health, Inc. is looking for a Forward Deployed Product Manager to manage the delivery of their voice AI care manager, Sage. Located in San Francisco, this hybrid role focuses on collaborating with health plans and operational leaders to provide scalable solutions in the healthcare sector.

The ideal candidate will have a background in engineering or computer science, along with experience in product management. Competitive salary range is $100K–$165K.

Qualifications

• 2–4 years of demonstrated product aptitude in technical environments.
• Experience owning complex problems and delivering structured solutions.
• Strong client-facing communication skills for presentations.

Responsibilities

• Lead customer discovery sessions to understand workflows and requirements.
• Design and configure Sage to meet customer needs.
• Own implementation processes end-to-end and drive resolution of issues.

Skills

Problem-solving

Technical communication

Project management

Attention to detail

Education

Bachelor's degree in engineering, computer science, or business

Tools

APIs

Data structures

Job description

Forward Deployed Product Manager, AI Assistant

Employment Type

Full time

Location Type

Hybrid

Department

Product

Compensation

• $100K – $165K

About the team

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 role

We’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 for each deployment — task completion, escalation rates, conversation quality, workflow adherence — and work with Engineering to build the evaluation and monitoring infrastructure that keeps deployments healthy over time.
• Executive Client Communication: Serve as the product authority in customer conversations, articulating trade‑offs, timelines, and solution design clearly and confidently. Customers should see you as a trusted product advisor, not just a liaison.
• Voice of the Customer: Continuously synthesize customer feedback and deployment learnings to inform roadmap prioritization and platform improvements. Deployment learnings are systematically fed back into how we build.
• Post‑Launch Optimization: Monitor adoption, performance, and workflow effectiveness, recommending iterative improvements where needed. Time‑to‑deployment should decrease as reusable solution patterns emerge.

What Success Looks Like (6‑9 months)

• Enterprise deployments launch with well‑defined requirements and minimal rework.
• Customer workflows are clearly documented and translated into scalable product configurations.
• Engineering teams receive high‑quality, actionable requirements that reduce back‑and‑forth.
• UAT cycles are structured and efficient, with issues surfaced early and resolved quickly.
• Customers view you as a trusted product advisor, not just a liaison.
• Deployment learnings are systematically fed back into product improvements.
• Time‑to‑deployment decreases as reusable solution patterns emerge.

Requirements

• Preference for a Computer Science background, or similar/equivalent technical experience.
• Preference for San Francisco‑based and West Coast‑based candidates due to focus on West Coast‑based customers.
• Demonstrated Product Aptitude (2–4 years): Proven ability to own complex problems, communicate clearly with stakeholders, and deliver structured solutions in ambiguous environments.
• Academic Rigor & Analytical Strength: Bachelor’s degree in engineering, computer science, economics, business, or a similarly rigorous field; strong evidence of intellectual discipline and structured thinking.
• Ownership in High‑Responsibility Settings: Experience — through internships, consulting, research, startups, or technical roles — where you were accountable for delivering real outcomes, not just supporting work.
• Client‑Facing Communication Skills: Comfort presenting ideas clearly and confidently to external stakeholders, including the ability to explain technical concepts in accessible terms.
• Technical Curiosity & Fluency: Strong comfort with technical systems and concepts; exposure to APIs, data structures, integrations, LLMs, or software development is preferred.
• Structured Problem Solving: Ability to decompose messy workflows into clear requirements, identify trade‑offs, and propose scalable solutions.
• Attention to Detail & Follow‑Through: High conscientiousness and precision in managing multi‑step projects and cross‑functional coordination — internally and externally.
• Learning Velocity & Initiative: Demonstrated ability to ramp quickly in new domains and operate independently with limited supervision.
• Professional Maturity: Poise, judgment, and reliability appropriate for representing the company in high‑stakes customer environments.

Salary and Benefits

We offer competitive salaries and benefits, including 401(k) matching up to 4% of your salary, health, vision, and dental insurance, and flexible paid time off. The typical salary range for this role is $100,000‑$165,000 USD, based on experience. The amount offered will be determined by a variety of factors, including, but not limited to, your individual skills, qualifications, and past experience relative to the requirements of the role.

Background Checks

As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re‑perform any such check at any time during the course of employment. Please note that there is no set policy for rejecting candidates based on specific background check results, and we consider each candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions.

Assistance

If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to [e-mail].