What are the responsibilities and job description for the Senior Product Manager, position at DGN Technologies?
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. 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.
Key Responsibilities
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.
Architecture & Orchestration: Partner with engineering to define agent architecture, including retrieval-augmented generation (RAG), tool usage, memory, and state management.
Compliance & Governance: Ensure all agent behaviors align with HIPAA, clinical safety standards, and promotional review committee (PRC) requirements.
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.
Minimum Qualifications
Education: Bachelor’s degree in CS, Engineering, Mathematics, or a related technical field.
Experience: 7 years of product management experience, with at least 2–5 years focused on AI/ML systems or intelligent automation.
Technical Fluency: Practical understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen), and Model Context Protocol (MCP).
Systems Thinking: Ability to translate ambiguous business problems into structured technical requirements and execution plans.
Preferred Qualifications
Regulated Industry Experience: Proven track record of deploying AI solutions in healthcare, life sciences, or financial services.
Platform Scaling: Experience building internal AI infrastructure or platforms used by multiple cross-functional teams.
Clinical Knowledge: Familiarity with clinical safety standards, EHR integrations (e.g., FHIR APIs), and healthcare-specific compliance.
Salary : $76 - $101