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About the Role

Hello Patient is hiring an AI Agent Product Manager with a strong background in building AI voice agents from scratch. You’ll design how our agents listen, interpret, respond, and guide patients through real healthcare workflows. This is a hands-on building role where you will create prompts, conversation flows, and agent configurations yourself, then use simulations and real chats to improve them. A background in conversational design, linguistics, voice user experience, or a related field is especially relevant.

Responsibilities

Design and build production-ready agents
Own agent architecture and configuration, including prompts, intents, conversation flows, tool calls, extensions, transfer protocols, and retrieval-augmented knowledge bases
Lead technical discovery to translate customer business processes, rules, exceptions, and handoffs into agent behavior
Build agents that handle real healthcare complexity, including scheduling logic, patient context, EHR data, and practice-specific requirements
Partner with Engineering on integrations, new features, and end-to-end testing, translating integration constraints into agent design decisions
Assess technical feasibility and help the Customer Delivery PM understand implementation effort and tradeoffs before scope and timelines are committed
Own agent quality and production performance
Author evaluations, tags, and simulation scenarios that test expected behavior, edge cases, and failure modes
Build and run simulation suites, review results, and own internal agent quality before customer demos and testing
Peer-review other builders’ agents and take accountability for the technical approvals provided
Diagnose issues during soft launch and the initial period after go-live, using live conversations, evaluations, and customer feedback to guide improvements
Decide when an issue requires a targeted fix and when the agent needs to be re-architected
Guide agents as they evolve
Author the QA Agent Playbook and prepare Agent Technician and QA teams to support each agent after handoff
Remain the architectural owner of the agents built, advising on changes that affect their structure and behavior
Review Agent Technician pull requests and lead refactors that require deeper architectural work
Assess whether expansion requests can reuse existing features or require new capabilities
Turn patterns across deployments into reusable components and patterns so that future agents are built faster

Requirements

1+ years experience in conversational design, voice user experience, or a closely related field, with hands-on experience building AI agents or conversational systems from scratch
Experience working closely with voice AI agents, including designing, testing, and refining how they behave in real conversations
Strong understanding of conversation structure, turn-taking, intent recognition, ambiguity, clarification, and recovery when an interaction goes off track
Hands-on prompt engineering skills and the ability to translate customer workflows into agent instructions, conversation flows, and decision logic
Ability to review calls and transcripts, identify patterns in conversational failures, and turn those findings into concrete improvements
Technical fluency with agent-building platforms, tool calls, APIs, and integrations, including how system constraints affect the conversation
Strong ownership and the ability to work across customer-facing and engineering teams in a fast-moving environment
Background in linguistics, computational linguistics, discourse analysis, human-computer interaction, or a related discipline
Experience shipping voice AI agents into production and improving them using real call data
Familiarity with speech recognition and text-to-speech systems, including the effects of latency, interruptions, pronunciation, and speech recognition errors on the experience
Experience building evaluations and simulations for conversational quality and task completion
Background in healthcare or other environments with complex, sensitive customer interactions
A portfolio of voice or conversational experiences built, with examples of how testing informed design decisions

Skills

AI voice agents
Conversational design
Voice user experience
Prompt engineering
Agent architecture
Configuration
Prompts
Intents
Conversation flows
Tool calls
Extensions
Transfer protocols
Retrieval-augmented knowledge bases
Technical discovery
Customer business processes
Rules
Exceptions
Handoffs
Scheduling logic
Patient context
EHR data
Practice-specific requirements
Integrations
End-to-end testing
Technical feasibility
Agent quality
Production performance
Evaluations
Tags
Simulation scenarios
Failure modes
Simulation suites
Customer demos
Peer-review
Technical approvals
Soft launch
Live conversations
Customer feedback
Targeted fix
Re-architecting
QA Agent Playbook
Agent Technician
QA teams
Architectural owner
Agent Technician pull requests
Refactors
Expansion requests
Reusable components
Reusable patterns
Linguistics
Computational linguistics
Discourse analysis
Human-computer interaction
Speech recognition
Text-to-speech systems
Latency
Interruptions
Pronunciation
Speech recognition errors
Conversational quality
Task completion
Healthcare
Complex customer interactions
Sensitive customer interactions
Portfolio
Voice experiences
Conversational experiences

Experience Level

1+ years experience

Salary/Compensations

$110,000 –$145,000

Benefits

Meaningful ownership in a fast-growing healthtech startup

About the Company

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.