Hello Patient

Healthcare

AIAgentProductManager

$160–200k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Agent Product Manager at Hello Patient. Skills: Product management, AI agents, Customer deployments. Own end-to-end delivery of AI agents. Own customer-facing roadmap”

Industry & Context.

Healthcare
Problems you'll solve

Derisk unknowns; Make tradeoff decisions

What They're Looking For.

Must Have

3+ years in Product Management, Technical product background, Experience shipping in ambiguous environments, Proven ability to work across functions, Bias toward ownership and action

Nice to Have

Experience with AI-native products, Experience with agents, Experience with LLMs, Experience with automation platforms, Hands-on prompt building, Hands-on agent building, Background in healthcare, Background in revenue cycle, Experience with legacy systems, Founder experience, Co-founder experience, Early startup experience, Familiarity with voice AI, Familiarity with real-time orchestration systems, Portfolio of shipped conversational experiences, Familiarity with evaluation practices

What You'll Do.

Own end-to-end delivery of AI agents

Own customer-facing roadmap

Sequence what gets built

Align stakeholders on tradeoffs

Translate requirements into shipped agent behavior

Gather requirements directly from customers

Translate requirements into agent logic

Implement agent behavior hands-on

Design agent behavior

Ship production-ready multi-agent workflows

Turn complexity into systems

Iterate on agent performance

Lead delivery of net-new AI agent deployments

Define deployment scope

Manage deployment tradeoffs

Hit deployment timelines

Ensure deployment quality

Build agent components

Handle real healthcare complexity

Lead deployments for new workflows

Lead deployments for new integrations

Lead deployments for new verticals

Identify unknowns early

Make tradeoff decisions

Own requirements for platform capabilities

Own prioritization for platform capabilities

Own integration scoping

Coordinate cross-team

Unblock whatever's in the way

Identify patterns across launches

Codify patterns into playbooks

Transition workflows to steady-state

Transition integrations to steady-state

Hand off proven patterns

Move on to next challenge

How You'll Work.

Team & Collaboration

Cross-functional coordination; Work with engineering team; Work with conversational designers; Work with customer engineers; Stakeholder communication

Communication Scope

Stakeholder communication

Process & Methodology

Roadmap, Sequencing, Tradeoffs, Timelines, Prioritization

Full Job Description

ABOUT THE ROLE 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. We build AI-powered voice, sms, and chat agents that integrate deeply into how healthcare practices actually operate. Every new customer deployment is a product launch—new workflows, new edge cases, new integration requirements, new ways the agent needs to behave in the real world. This role exists to own that launch from scoping through go-live. You’ll also own the customer-facing roadmap for each deployment—defining requirements, sequencing what gets built, and aligning stakeholders on tradeoffs. This role combines product ownership with hands-on agent building — translating requirements into shipped agent behavior. You’ll gather requirements directly from customers, translate them into agent logic and workflows, and implement that behavior hands-on using prompts, guardrails, tools, and evals. You’ll design Mia’s behavior, ship production-ready multi-agent workflows, and turn real-world healthcare complexity into systems that actually hold up on live calls. This is a rare seat: you’ll get direct exposure to frontier LLM failure modes in production, and you’ll continuously iterate on agent performance using structured evaluation, testing, and real customer feedback. WHAT YOU'LL DO 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 BUILD AGENTS, NOT JUST SPECS - 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

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