Senior AI Product Manager — Agentic Insurance Platform

Duck Creek Technologies

San Francisco (CA)

Hybrid

USD 165,000 - 235,000

Full time

5 days ago
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Benefits offered by this job

Flexible work environment
Medical, dental, vision insurance
401(k) with employer match
Paid holidays and PTO

Job summary

Duck Creek Technologies in the Bay Area or Bengaluru, India is seeking a Senior Product Manager for an agentic AI application focused on automating insurance product configuration. You will define strategy, roadmaps, and measurable outcomes while partnering with Engineering, Architecture, and security teams to ensure scalable, observable product delivery.

Responsibilities include translating requirements into epics and user stories, designing knowledge graph capabilities, and driving an

Qualifications

  • Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Data Science, Business, Insurance, Product Management, or a related field.
  • 6+ years of experience in technical product management, AI product management, platform services, software engineering, or related roles.
  • Experience owning complex AI, data, platform, or document-processing product capabilities.
  • Experience working with cross-functional stakeholders, including engineering, architecture, data science, customer-facing teams, and business stakeholders.
  • Experience translating ambiguous business and technical problems into product strategy, roadmap priorities, requirements, release plans, and measurable outcomes.

Responsibilities

  • Define and maintain the product strategy and roadmap for an agentic AI application that automates insurance product configuration, including document ingestion, structured data extraction, knowledge graph development, configuration generation, output validation, and human review workflow design.
  • Translate carrier product configuration needs, document change workflows, accuracy requirements, and line-of-business expansion goals into clearly defined epics, features, use cases, requirements, user stories, and measurable product outcomes.
  • Partner with Engineering and Architecture to define scalable, reliable, and maintainable agent pipeline patterns, including agent orchestration design, event-driven communication, durable state management, and cloud infrastructure requirements.
  • Define product capabilities for a knowledge graph that represents relationships between insurance product elements, enabling intelligent change impact detection, cross-element dependency tracking, and semantic abstraction over raw product document structure.
  • Drive an eval-first product culture: define accuracy targets by capability, establish a continuous evaluation methodology using AI observability tooling, and ensure no feature ships without a measurable accuracy signal.
  • Partner with AI Platform, Semantic Insurance Data, Data Orchestration, Security, and Governance teams to support trusted context, responsible AI controls, and reliable execution across carrier document types and product lines.
  • Define carrier-facing product capabilities, including configuration request intake, pipeline status visibility, reviewer experience, extraction result review, and output approval workflows.
  • Evaluate trade-offs across extraction accuracy, pipeline reliability, reviewer burden, scalability, carrier data privacy, infrastructure cost, and time-to-market when shaping product priorities and requirements.
  • Define adoption, accuracy, reliability, and business impact measures — including extraction accuracy, configuration validity rates, human review approval rates, pipeline throughput, LOB onboarding velocity, and carrier time-to-configuration.
  • Support release planning, readiness, and communication by clarifying scope, dependencies, risks, acceptance criteria, and expected accuracy outcomes.
  • Maintain awareness of emerging agentic AI frameworks, LLM evaluation methodologies, knowledge graph technologies, document understanding models, and insurance product configuration patterns to inform product direction.

Skills

Product management
AI product management
Cross-functional collaboration
LLM evaluation

Education

Bachelor's degree or equivalent

Tools

LangGraph

Job description

Duck Creek Technologies in the Bay Area or Bengaluru, India is seeking a Senior Product Manager for an agentic AI application focused on automating insurance product configuration. You will define strategy, roadmaps, and measurable outcomes while partnering with Engineering, Architecture, and security teams to ensure scalable, observable product delivery.

Responsibilities include translating requirements into epics and user stories, designing knowledge graph capabilities, and driving an

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