AI Agent Product Manager

Urban Ridge Supplies•New York, NY

About The Position

Hello Patient is hiring a technical, high-agency AI Agent Product Manager to own the end-to-end delivery of AI agents in real customer environments. Hello Patient builds AI-powered voice, SMS, and chat agents that integrate with healthcare practices’ operations. Each customer deployment involves new workflows, edge cases, integration requirements, and agent behaviors, and this role owns the launch from scoping through production go-live. The role combines product ownership with hands-on agent building. The Product Manager gathers requirements directly from customers, defines and sequences customer-facing roadmaps, and translates requirements into agent logic and workflows using prompts, tools, guardrails, and evaluations. They design agent behavior, ship production-ready multi-agent workflows, and iterate on performance through structured evaluation, live-call review, and customer feedback. The role leads zero-to-one deployments for new workflows, integrations, and verticals, coordinating with Conversational Design, Customer Engineering, and other stakeholders. It also identifies patterns across launches, documents repeatable playbooks, and transitions proven workflows or integrations to implementation teams.

Requirements

At least 3 years of experience in Product Management or a closely related role, or a technical background with experience operating in a PM-like capacity.
Strong technical product background and comfort with APIs, integrations, and understanding how systems connect.
Experience shipping in ambiguous, fast-moving environments without an established playbook.
Ability to work across functions through influence rather than authority.
Bias toward ownership and action, including making decisions and course-correcting when needed.

Nice To Haves

Experience with AI-native products, agents, LLMs, or automation platforms, including hands-on prompt or agent building.
Background in healthcare, revenue cycle, or other industries with legacy-system-heavy operations.
Experience building, breaking, or refining bots and conversations to make them more natural.
Founder, co-founder, or early startup experience.
Familiarity with voice AI or real-time orchestration systems.
A portfolio or examples of shipped conversational experiences, such as IVR, voice assistants, chatbots, or SMS flows, with rationale for key design decisions.
Familiarity with evaluation practices for agent quality.

Responsibilities

Own customer deployments end-to-end, from gathering customer requirements through production go-live.
Treat each deployment as a product launch by defining scope, managing tradeoffs, meeting timelines, and ensuring quality.
Own the customer-facing roadmap for each deployment, including what ships, in what order, and why.
Translate customer requirements into agent behavior using the internal platform, including prompts, tools, guardrails, and multi-agent workflows.
Build agent components hands-on, including conversation flows, decision logic, edge-case handling, and integration behaviors.
Ship production-ready agents that handle healthcare workflows such as scheduling, patient context, EMR data, and practice-specific edge cases.
Improve agent performance using structured evaluations, live-call reviews, and direct customer feedback.
Lead deployments for new workflows, integrations, and verticals where no playbook exists; identify unknowns, reduce risk, and make tradeoff decisions to keep launches on track.
Own requirements and prioritization with engineering when deployments require new platform capabilities.
Coordinate integration scoping with Customer Engineering, cross-team work, timelines, stakeholder communication, and issue resolution.
Identify patterns across launches and codify them into playbooks.
Determine when workflows or integrations are ready to move from zero-to-one ownership to steady-state implementation, and hand off proven patterns to implementation teams.