AI Agent Product Manager

Hello Patient

AI Agent Product Manager responsible for end-to-end AI agent deployment in healthcare. Transforming patient interactions with direct customer involvement and continuous improvement.

Posted 6/3/2026full-timeAustin • Texas • 🇺🇸 United StatesJunior💰 $110,000 - $160,000 per yearWebsite

About the role

Key responsibilities & impact

Own customer deployments end-to-end
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
Identify patterns across launches and codify them into playbooks
Hand off proven patterns to implementation teams and move on to the next net-new challenge

Requirements

What you’ll need

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
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

Comp & perks

Meaningful ownership in a fast-growing healthtech startup

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI toolsprompt engineeringconversation flowsdecision logicintegration behaviorsAPIsagent buildingautomation platformsevaluation practicesshipped conversational experiences

Soft Skills

ownershipinfluenceaction-orientedcross-functional collaborationproblem-solvingadaptabilitycustomer feedback integrationtradeoff decision-makingpattern identificationquality assurance