Ellipsis Health
Forward Deployed Product Manager, AI Assistant
San Francisco - Hybrid
Sponsorship not specified$100k-$165kDetected 82 days ago
Data StructuresLLMsSalesforceCustomer SuccessResearchLeadershipCommunicationProblem SolvingPublic Speaking
About the role
- Every new customer deployment is a product launch.
- This is not a traditional roadmap-focused product role.
- 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.
Responsibilities
- 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.
- Lead structured discovery sessions to understand customer workflows, operational constraints, data needs, and integration requirements.
Requirements
- Academic Rigor & Analytical Strength: Bachelor's degree in engineering, computer science, economics, business, or a similarly rigorous field
- Client-Facing Communication Skills: Comfort presenting ideas clearly and confidently to external stakeholders, including the ability to explain technical concepts in accessible terms
- Structured Problem Solving: Ability to decompose messy workflows into clear requirements, identify trade-offs, and propose scalable solutions
Nice to have
- Strong comfort with technical systems and concepts
- exposure to APIs, data structures, integrations, LLMs, or software development is preferred
- Technical Curiosity & Fluency: Strong comfort with technical systems and concepts
Skills
- 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
- Background Checks
- Please note that there is no set policy for rejecting candidates based on specific background check results, and we consider each
Compensation
- The typical salary range for this role is $100,000-$165,000 USD, based on experience.
Benefits
- Ellipsis Health is redefining how care teams engage and support patients through voice-based artificial intelligence.
- Our Voice AI Care Manager, Sage, delivers empathetic, real-time conversations that help health plans and care management teams scale outreach, reduce operational bottlenecks, and improve member experience and outcomes.
- We offer competitive salaries and benefits, including 401(k) matching up to 4% percentage of your salary, health, vision, and dental insurance, and flexible paid time off.
- 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.
- You're comfortable learning new technical systems quickly and are motivated by being close to both the product and the customer.
Company info
- 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.
- New workflows, new edge cases, new integration requirements, 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.
- 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.
- 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
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This listing is sourced directly from Ellipsis Health's careers page and normalized into a canonical job model.