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Ellipsis Health

AI-driven vocal biomarkers for mental health

Forward Deployed Product Manager - AI Assistant

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$100k - $165k /yr

About the Job

Requirements

  • A bachelor's degree in engineering, computer science, economics, business, or a similarly rigorous field, with strong evidence of intellectual discipline and structured thinking.
  • Demonstrated product aptitude, with 2–4 years of experience owning complex problems, communicating clearly with stakeholders, and delivering structured solutions in ambiguous environments.
  • Experience in a high-responsibility setting, such as internships, consulting, research, startups, or technical roles, with accountability for delivering real outcomes.
  • Comfort presenting ideas clearly and confidently to external stakeholders, including explaining technical concepts in accessible terms.
  • Strong comfort with technical systems and concepts.
  • Ability to decompose messy workflows into clear requirements, identify trade-offs, and propose scalable solutions.
  • High conscientiousness and precision in managing multi-step projects and cross-functional coordination, internally and externally.
  • Demonstrated ability to ramp quickly in new domains and operate independently with limited supervision.
  • Poise, judgment, and reliability appropriate for representing the company in high-stakes customer environments.
  • Preference for a Computer Science background, or similar/equivalent technical experience.
  • Preference for candidates based in San Francisco or on the West Coast due to the focus on West Coast-based customers.

Responsibilities

  • Lead structured customer discovery sessions to understand workflows, operational constraints, data needs, and integration requirements; challenge assumptions, clarify trade-offs, and guide customers toward scalable solutions.
  • Design and configure Sage for customer needs while balancing scalability and product integrity; translate requirements into agent logic and behavior, including prompts, guardrails, and tooling, and validate configurations in production environments.
  • Own the product layer of implementations end-to-end, including integration coordination, data mapping, configuration management, user acceptance testing support, and go-live readiness; drive issues to resolution.
  • Translate customer needs into clear product requirements, user stories, and acceptance criteria for Engineering, including unambiguous specifications of inputs, tools, data flows, failure modes, and success criteria.
  • Define success measures for each deployment, including task completion, escalation rates, conversation quality, and workflow adherence, and work with Engineering to build evaluation and monitoring infrastructure.
  • Serve as the product authority in customer conversations, clearly communicating trade-offs, timelines, and solution design.
  • Synthesize customer feedback and deployment learnings to inform roadmap prioritization and platform improvements.
  • Monitor adoption, performance, and workflow effectiveness after launch and recommend iterative improvements.
  • Own each customer deployment from scoping through go-live, including the customer-facing roadmap, requirements, sequencing of work, and stakeholder alignment.
  • Work across Product, Engineering, and Customer Success to shape workflows, define integrations, guide configuration decisions, and ensure successful production deployment.

Desired Qualifications

  • Exposure to APIs, data structures, integrations, large language models, or software development is preferred.

About the Company

Ellipsis Health

AI-driven vocal biomarkers for mental health

Ellipsis Health builds AI-powered vocal biomarker analysis to screen for and monitor depression and anxiety for healthcare providers. It processes a patient’s voice to produce objective mental health measures that can be integrated into clinicians’ workflows, typically via a subscription or per-use model for health organizations. The system enables remote, scalable assessment and continuous monitoring to support early detection and treatment planning. Its focus on vocal biomarkers and seamless integration into standard care differentiates it from consumer apps and aims to expand access, including for underserved populations.

Company size
51-200
Company stage
Series A
Total funding
$85.1M
Headquarters
San Francisco, CA
Founded
2017

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