Forward Deployed Product Manager, AI Assistant

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, 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
  • Clients should see you as a trusted product advisor, not just a liaison.
• 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.
• Prioritize 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.
• Voice of the Customer: Continuously synthesize customer feedback and deployment learnings to inform roadmap prioritization and platform improvements.
• 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.

Benefits

• 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.
• The typical salary range for this role is $100,000-$165,000 USD, based on experience.

Pay

TBD

Schedule

Remote US-based role with occasional travel for key customer engagements.