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Duck Creek Technologies

Senior Product Manager, Agentic Application

Duck Creek Technologies

. Own product strategy, roadmap, and execution for an agentic AI application that automates insurance product configuration .

Posted 9/25/2026full-timeCalifornia • United StatesSenior💰 $164,600 - $235,200 per yearWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own product strategy, roadmap, and execution for an agentic AI application that automates insurance product configuration
  • Define document ingestion, structured data extraction, knowledge graph development, configuration generation, output validation, and human review workflow capabilities
  • Translate carrier configuration needs, document change workflows, accuracy requirements, and line-of-business expansion goals into epics, features, use cases, requirements, user stories, and measurable outcomes
  • Partner with Engineering and Architecture on agent orchestration, event-driven communication, durable state management, and cloud infrastructure requirements
  • Define knowledge graph capabilities for change impact detection, dependency tracking, and semantic abstraction
  • Establish an eval-first product culture with accuracy targets, continuous evaluation methodology, AI observability, and measurable accuracy signals
  • Partner with AI Platform, Semantic Insurance Data, Data Orchestration, Security, and Governance teams on trusted context, responsible AI controls, and reliable execution
  • Define carrier-facing capabilities including configuration request intake, pipeline status visibility, reviewer experience, extraction result review, and output approval workflows
  • Evaluate trade-offs involving accuracy, reliability, reviewer burden, scalability, data privacy, infrastructure cost, and time-to-market
  • Define adoption, accuracy, reliability, and business impact measures
  • Support release planning, readiness, communication, scope clarification, dependency management, risk identification, acceptance criteria, and accuracy outcomes
  • Monitor emerging agentic AI frameworks, LLM evaluation methodologies, knowledge graph technologies, document understanding models, and insurance product configuration patterns

Requirements

What you’ll need
  • Bachelor's degree or equivalent experience 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
  • Experience with AI agent frameworks, LLM evaluation, knowledge graphs, document understanding, structured data extraction, or agentic AI pipeline design
  • Experience in property and casualty insurance, InsurTech, financial services, or another complex regulated industry is preferred
  • Familiarity with event-driven architectures, cloud-native platforms, LangGraph or similar agent orchestration frameworks, and human-in-the-loop system design
  • Knowledge of AI agent design, LLM-based extraction, deterministic agent patterns, orchestration frameworks, and multi-stage pipeline architecture
  • Knowledge of extraction accuracy concepts, eval harness design, scoring methodology, baseline comparison, and prompt iteration
  • Knowledge of knowledge graphs, human-in-the-loop design, complex insurance document understanding, event-driven system design, responsible AI, cloud-native platforms, multi-tenant SaaS architecture, and enterprise security patterns
  • Ability to influence stakeholders without direct authority across broad cross-functional organizations
  • Ability to explain complex AI extraction, knowledge graph, and validation decisions in clear business and carrier terms
  • Legally authorized to work in the country of the job location
  • Willingness to travel 10%

Benefits

Comp & perks
  • Flexible work environment
  • Medical, dental, vision, life, and disability insurance
  • 401(k) retirement plan with match (6% employer match up to $12,000 annually)
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
  • Paid holidays, vacation, and volunteer time
  • Employee Assistance Program (EAP)
  • Annual bonus compensation, subject to plan terms and individual eligibility
  • Flexible-first choice to work from an office, from home, or on a hybrid schedule