AI Agent Product Manager
Posted on February 21, 2026 (3 months ago)
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. You will get direct exposure to frontier LLM failure modes in production, and continuously iterate on agent performance using structured evaluation, testing, and real customer feedback.
What You'll Do
Lead deployments and own 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, and ensure quality.
- Own the customer-facing roadmap for each deployment—deciding what we ship, in what order, and why.
Build agents, not just specs
- Gather requirements directly from customers and translate them into agent behavior using internal platforms: prompts, tools, guardrails, multi-agent workflows.
- Do hands-on prompt engineering using AI tools to build 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
- Collaborate with conversational designers who review real conversations, identify patterns, design flows, and ship agent behavior.
- Coordinate with customer engineers who build integrations into customers' systems of record—EHRs, PMS, and PIMS.
- Own integration scoping with Customer Engineering, cross-team coordination, timeline management, stakeholder communication, and unblocking what’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
We are seeking a candidate with product experience, strong technical aptitude, and a bias toward ownership and action.
Must have
- 3+ 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 building. Background in healthcare, revenue cycle, or other legacy-system-heavy industries is a plus.
- Experience building, testing, and iterating on bots and conversational experiences.
- 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: $160K–$200K.
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 years scaling Carbon Health's technology during hypergrowth and identified large inefficiencies caused by administrative burden and broken patient communication.
Our AI platform proactively engages patients through timely calls and texts, resolving interactions end-to-end—from scheduling to billing to retention. Built with security and compliance in mind, our technology integrates with existing healthcare infrastructure to deliver 24/7 patient engagement. Backed by Scale and 8VC.
How to Apply
Please apply via the job posting by clicking the "Apply for this Job" button. This opens the application's page on Hello Patient's careers site.
Application Details
Application page URL (relative): /hellopatient/bfc01b2e-c1a8-40b9-9840-2c0e19ecf49d/application