AI Agent Product Manager
Hello Patient is transforming healthcare communication through advanced conversational AI. They are seeking a technical, high-agency AI Agent Product Manager to own the end-to-end delivery of AI agents in real customer environments, managing deployments and defining product roadmaps.
Responsibilities
- Lead delivery of net-new AI agent deployments as the single accountable owner—from customer requirements through production go-live
- Treat every deployment as a product launch: define scope, manage tradeoffs, hit timelines, ensure quality
- Own the customer-facing roadmap for each deployment—what are we shipping, in what order, and why
- Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform—prompts, tools, guardrails, multi-agent workflows
- Do hands-on prompt engineering using AI tools to build the components that make agents work: conversation flows, decision logic, edge case handling, integration behaviors
- Ship production-ready agents that handle real healthcare complexity: scheduling logic, patient context, EMR data, practice-specific edge cases
- Continuously improve agent performance using structured evals, live call review, and direct customer feedback
- Lead deployments for new workflows, integrations, and verticals where no playbook exists
- Identify unknowns early, derisk them, and make tradeoff decisions that keep launches on track
- When deployments require net-new platform capabilities, own requirements and prioritization with the engineering team
- Conversational designers design and optimize agent behavior—they review real conversations, identify patterns, design conversation flows, and ship agent behavior
- Customer engineers build integrations into our customers' systems of record—EHRs, PMS, and PIMS
- You own everything else: integration scoping with Customer Engineering, cross-team coordination, timeline management, stakeholder communication, and unblocking whatever's in the way
- Identify patterns across launches and codify them into playbooks
- Know when a workflow or integration is ready to transition from zero-to-one ownership to steady-state implementation
- Hand off proven patterns to implementation teams and move on to the next net-new challenge
Skills
- 1+ years in Product Management or a closely related role (e.g., technical program management at a product-led company, founder/early employee wearing the PM hat) or a technical background (software engineer / forward-deployed engineer) who has operated in a PM-like capacity
- Strong technical product background—comfortable with APIs, integrations, and understanding how systems connect
- Experience shipping in ambiguous, fast-moving environments where the playbook doesn't exist yet
- Proven ability to work across functions through influence, not authority
- Bias toward ownership and action—you'd rather make a call and course-correct than wait for clarity
- Experience with AI-native products, agents, LLMs, or automation platforms including hands-on prompt/agent building
- Background in healthcare, revenue cycle, or other legacy-system-heavy industries
- You've spent time playing with bots — building them, breaking them, and tweaking conversations to make them feel more natural
- Founder, co-founder, or early startup experience
- Familiarity with voice AI or real-time orchestration systems
- Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS flows) and the rationale behind key design decisions
- Familiarity with evaluation practices for agent quality
Benefits
- Offers Equity
- Hybrid work model
Company Overview
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