AI Agent Product Manager

Hello Patient; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Hello Patient in New York is looking for a technical AI Agent Product Manager to manage end-to-end delivery of AI agents in healthcare settings.

The ideal candidate will have a strong product management background and experience in handling customer requirements and integrations. This unique position involves direct exposure to frontier AI challenges and offers a salary range of $110K–$160K with equity options.

Qualifications

• 1+ years in Product Management or a related role.
• Strong technical product background with APIs and integrations.
• Experience in fast-moving environments without a playbook.

Responsibilities

• Own customer deployments end-to-end.
• Lead delivery of new AI agent deployments.
• Improve agent performance using customer feedback.

Skills

Product Management

Technical background

APIs and integrations

Problem-solving

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 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

Drive zero-to-one execution

• 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

Work alongside Conversational Design and Customer Engineering

• 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

Build toward repeatability

• 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

What We're Looking For

Must have

• 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

Nice to have

• Experience with AI-native products, agents, LLMs, or automation platforms including hands-on prompt/agent buildingBackground 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

Compensation

Base salary: $110K–$160K

Equity: Meaningful ownership in a fast-growing healthtech startup

About Hello Patient

Hello Patient is transforming healthcare communication through advanced conversational AI. Our founding team spent 3.5 years scaling Carbon Health's technology during hypergrowth, where we saw firsthand how much clinical time gets wasted on basic communication—great clinicians buried in admin work, patients stuck in phone tag.

Our AI platform proactively engages patients through perfectly timed calls and texts, resolving complex interactions end-to-end—from scheduling to billing to retention. Built with security and compliance at its core, our technology integrates with existing healthcare infrastructure to deliver 24/7 patient engagement.

Backed by Scale and 8VC, we're building the future of healthcare communication, one conversation at a time.