AI Agent Product Manager

🕒 Yesterday

🏢🏡 New York City – Hybrid

💵 $160k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

Apply Now
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Logo of Hello Patient

Hello Patient

WebsiteLinkedIn

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

🔥 Funding within the last year

💰 $22.5M Series A - Hello Patient on 2025-09

Artificial Intelligence • B2B • SaaS

Hello Patient is an enterprise healthcare AI assistant that automates patient communications and front‑office workflows for medical practices. Its AI agent, Mia, handles calls, SMS, and chat end‑to‑end—scheduling appointments, verifying insurance, collecting intake and payments, reconnecting no‑shows, and running targeted outreach—while integrating with EHRs and CRMs to streamline operations and revenue cycle management. The product is aimed at high‑volume specialties (dentistry, dermatology, urgent care, veterinary, primary care, etc. ) to improve access, reduce wait times, and increase bookings and collections.

📋 Description

• Own customer deployments end-to-end • 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 • Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform • Do hands-on prompt engineering using AI tools to build the components that make agents work • Ship production-ready agents that handle real healthcare complexity • Continuously improve agent performance using structured evals, live call review, and direct customer feedback • Identify patterns across launches and codify them into playbooks • Hand off proven patterns to implementation teams and move on to the next net-new challenge.

🎯 Requirements

• 3+ years in Product Management or a closely related role (e.g., technical program management at a product-led company) • 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 • Familiarity with voice AI or real-time orchestration systems • Portfolio or examples of shipped conversational experiences and the rationale behind key design decisions. • Familiarity with evaluation practices for agent quality.

🏖️ Benefits

• Meaningful ownership in a fast-growing healthtech startup

Apply Now

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