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Senior Product Manager, Agentic
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-10-08
Listing for:
Duck Creek Payments
Full Time
position Listed on 2026-10-08
Job specializations:
-
IT/Tech
AI Business & Operations -
Business
AI Business & Operations
Job Description & How to Apply Below
* TITLE:
Senior Product Manager, Agentic Application
***
* WHAT YOU’LL DO:
** The Senior Product Manager, Agentic Application owns the product strategy, roadmap, and execution for an agentic AI application that automates insurance product configuration for Duck Creek carriers. This role defines how AI agents read, understand, and translate complex carrier product documents into structured, validated Duck Creek product configuration compressing work that takes analysts from weeks to hours. This role converts complex carrier workflow needs, AI accuracy requirements, document understanding challenges, and multi-line-of-business scalability goals into clear product priorities, requirements, and measurable outcomes.
It requires deep comfort operating at the intersection of agentic AI, insurance product domain knowledge, and enterprise software delivery. This role exercises independent judgment and partners across Product, Engineering, Architecture, Data Science, AI Platform, Customer Success, Professional Services, and carrier stakeholders to deliver governed, accurate, and scalable agentic configuration capabilities.
* 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.
** WHAT YOU’VE DONE:**##
** Required
* ** Bachelor's degree or equivalent experience in Computer…
Position Requirements
10+ Years
work experience
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