Ellipsis Health is redefining how care teams engage and support patients through voice-based artificial intelligence. They are seeking a Forward Deployed Product Manager, AI Assistant to own the end-to-end delivery of their conversational voice AI care manager, Sage, in real customer environments, ensuring successful deployments that meet customer needs.
Responsibilities:
- Lead structured discovery sessions to understand customer workflows, operational constraints, data needs, and integration requirements
- Design and configure Sage to meet customer needs while balancing scalability and product integrity
- Own the product layer of implementations end-to-end: integration coordination, data mapping, configuration management, UAT support, and go-live readiness
- Translate customer needs into clear product requirements, user stories, and acceptance criteria for Engineering
- 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
- Serve as the product authority in customer conversations, articulating trade-offs, timelines, and solution design clearly and confidently
- Continuously synthesize customer feedback and deployment learnings to inform roadmap prioritization and platform improvements
- Monitor adoption, performance, and workflow effectiveness, recommending iterative improvements where needed
Requirements:
- Preference for a Computer Science background, or similar/equivalent technical experience
- 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
- Preference for San Francisco-based and West Coast-based candidates due to focus on West Coast-based customers