AI Agent Product Manager

Hellopatient Inc.

Job Overview

Location

Austin, Texas

Job Type

Full-time

Full Job Description

📋 Description

• Own end-to-end delivery of AI agent deployments as the single accountable owner—from defining customer requirements through production go-live
• Treat every customer deployment as a product launch: define scope, manage tradeoffs, hit timelines, and ensure quality for live agent performance in real healthcare environments
• Own the customer-facing roadmap for each deployment: determine what features and behaviors are shipped, in what order, and why, based on real-world patient and practice needs
• Gather requirements directly from healthcare practices and translate them into agent behavior using prompts, guardrails, tools, and multi-agent workflows on the internal platform
• Build production-ready AI agents that handle complex healthcare workflows including scheduling logic, patient context, EMR data, and practice-specific edge cases
• Ship and iterate on multi-agent workflows that operate in live voice, SMS, and chat channels, handling real patient interactions with compliance and accuracy
• Continuously improve agent performance using structured evaluations, live call reviews, and direct customer feedback to refine conversation flows and decision logic
• Lead zero-to-one deployments for new workflows, integrations, and verticals where no existing playbook exists, identifying unknowns early and derisking launch obstacles
• Own requirements and prioritization with engineering when new platform capabilities are needed to support agent deployments
• Collaborate closely with conversational designers who optimize agent behavior and customer engineers who build EHR/PMS/PIMS integrations, coordinating timelines and unblocking dependencies
• Identify patterns across multiple deployments and codify them into reusable playbooks for implementation teams
• Determine when a workflow or integration is ready to transition from custom deployment to steady-state implementation, and hand off proven systems to operational teams
• Work directly with frontier LLM failure modes in production, iterating on agent behavior to improve reliability, safety, and effectiveness in live healthcare settings
• Translate real-world healthcare complexity into scalable AI systems that function reliably under live call conditions with high patient volume and variable input
• Drive execution in fast-moving, ambiguous environments where requirements evolve daily and no standard processes exist
• Balance technical depth with product strategy, making hands-on decisions on agent logic while aligning cross-functional stakeholders on tradeoffs
• Maintain compliance and security standards while building AI agents that integrate with legacy healthcare systems and handle sensitive patient data

🎯 Requirements

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

🏖️ Benefits

• Base salary: $110K–$160K
• Meaningful equity ownership in a fast-growing healthtech startup
• Opportunity to build AI agents that directly improve healthcare communication and reduce clinician administrative burden
• Exposure to frontier LLM failure modes and real-world production iteration in a regulated healthcare environment
• selected_category": "Product Manager",
• "parent_category": "Product",
• "confidence": 0.98,
• "reasoning": "The title is 'AI Agent Product Manager' and the core responsibilities revolve around owning end-to-end product delivery, defining roadmaps, translating customer needs into agent behavior, and coordinating cross-functionally—all hallmarks of a Product Manager role. The technical depth and AI focus are context, not a change in category. The role does not involve engineering implementation as a primary duty, nor does it manage people or operations at a leadership level, so 'Product Manager' is the most precise fit.",
• "city": "New York",
• "region": "New York",
• "country_code": "US",
• "is_remote": false
• }

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Hellopatient Inc.

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About Hellopatient Inc.

Hellopatient is a digital health company focused on improving patient care coordination and communication. They offer a platform that connects patients with their healthcare providers, streamlining appointment scheduling, prescription refills, and access to medical records. The company aims to reduce administrative burdens for clinics and empower patients with more control over their health journey. Their services are designed for various medical practices, enhancing efficiency and patient engagement within the healthcare ecosystem. Hellopatient operates within the rapidly growing digital health and healthtech industries, leveraging technology to make healthcare more accessible and manageable.

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