layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

AI Agent Product Manager at Hello Patient | LAYIQ

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

AI Agent Product Manager

Employer job description

About the Role

What You'll Do

What We're Looking For

Compensation

Base salary:

Equity:

About Hello Patient

About this listing