Dgn Technologies Inc.

Dgn Technologies Inc.

Senior Product Manager,

South San Francisco, California, USA · Senior · third party, contract

Sponsorship not specifiedDetected 50 days ago
Machine LearningLLMsRAGAgentic AIAI OrchestrationComplianceProduct ManagementProduct StrategyHIPAAHL7/FHIREHR/EMR

About the role

  • This role focuses on transforming manual workflows into AI-orchestrated systems that improve efficiency and quality while adhering to strict clinical safety and compliance guardrails.
  • Product Strategy & Vision: Define the long-term roadmap for agentic AI capabilities, including multi-agent orchestration and personalized digital front-door experiences.
  • Workflow Transformation: Identify high-friction manual tasks and decompose them into intents and data dependencies suitable for agentic execution.

Responsibilities

  • Architecture & Orchestration: Partner with engineering to define agent architecture, including retrieval-augmented generation (RAG), tool usage, memory, and state management.
  • Human-in-the-Loop (HIL) Design: Standardize HIL patterns and escalation paths to ensure agents are reliable, auditable, and trustworthy.
  • Performance & Observability: Own evaluation frameworks (e.g., LLM-as-a-judge) and track KPIs related to resolution accuracy, engagement, and operational efficiency.
  • Partner with engineering to define agent architecture, including retrieval-augmented generation (RAG), tool usage, memory, and state management.

Requirements

  • Systems Thinking: Ability to translate ambiguous business problems into structured technical requirements and execution plans.
  • Bachelor’s degree in CS, Engineering, Mathematics, or a related technical field.
  • Ability to translate ambiguous business problems into structured technical requirements and execution plans.

Skills

  • Practical understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen), and Model Context Protocol (MCP).

Benefits

  • The Senior Product Manager, Agentic AI will lead the strategy, design, and execution of autonomous and semi-autonomous AI agents within a regulated healthcare environment.
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