Job description

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.        WHO WE ARE:     Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies.       Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.      We have a flock of more than 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.      If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!      To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter .     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 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. Preferred Master s degree or equivalent advanced experience in a relevant field. 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, particularly in product configuration, underwriting, policy administration, or manuscript management. Familiarity with event-driven architectures, cloud-native platforms, LangGraph or similar agent orchestration frameworks, and human-in-the-loop system design. Knowledge, Skills & Abilities Knowledge Technical product management practices for complex AI, data pipeline, or document processing capabilities. AI agent design, including LLM-based extraction, deterministic agent patterns, orchestration frameworks, and multi-stage pipeline architecture. Extraction accuracy concepts, including eval harness design, scoring methodology, baseline comparison, and prompt iteration. Knowledge graph concepts, including entity relationship modeling, semantic abstraction, dependency graph traversal, and change impact analysis. Human-in-the-loop design patterns, including review gate placement, correction capture, audit logging, and reviewer experience. Document understanding across complex insurance documents, including rate manuals, carrier filing documents, underwriting guidelines, and product manuscripts. Event-driven system design, including versioned event contracts, Pub/Sub patterns, durable state management, and agent checkpointing. Responsible AI practices, including hallucination detection, deterministic output validation, schema-enforced output gates, and accuracy-gated deployment. Cloud-native platforms, multi-tenant SaaS architecture, and enterprise security patterns relevant to carrier data handling. Skills Translating ambiguous carrier configuration needs and AI accuracy requirements into structured product requirements, clear priorities, and measurable outcomes. Evaluating trade-offs across extraction accuracy, reviewer burden, LOB scalability, infrastructure cost, carrier data privacy, and time-to-market. Analyzing accuracy, reliability, pipeline performance, and business impact metrics to inform product decisions and prioritization. Abilities Ability to influence stakeholders without direct authority across a broad cross-functional organization, including Product, Engineering, Architecture, Data Science, Customer Success, Professional Services, and carrier customers. Ability to explain complex AI extraction, knowledge graph, and validation decisions in clear business and carrier terms. Ability to use AI-enabled tools to support product discovery, analysis, prototyping, documentation, and iterative product development. Other Requirements: Travel: 10% Work Authorization: Legally authorized to work in the country of the job location. WHAT WE STAND FOR:     Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.      We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.    To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: duckcreek.com .     Please let us know if you encounter accessibility barriers with our web content by sending an email to accessibility duckcreek.com .   Privacy Notice:  By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our  Privacy Notice  and applicable data protection laws. Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.     Actual compensation for this role is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, where permitted by law. For reference, the expected salary range for this position is generally positioned as follows based on candidate location: 164,600 – 235,200: Candidates living in the Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas 156,900 – 224,100 Candidates living in Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont 149,100 – 213,000: Candidates living in Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin 132,000 – 206,400: For all other U.S. locations This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility. Final compensation will be determined based on the factors outlined above and in accordance with applicable law. Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information. AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes. Duck Creek Technologies offers a comprehensive benefits package, which includes: 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) Benefits eligibility and offerings may vary based on role and location. The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.

Requirements

Must-haves

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.
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.
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.
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.
Required 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, particularly in product configuration, underwriting, policy administration, or manuscript management.
Familiarity with event-driven architectures, cloud-native platforms, LangGraph or similar agent orchestration frameworks, and human-in-the-loop system design.
Knowledge, Skills & Abilities Knowledge Technical product management practices for complex AI, data pipeline, or document processing capabilities.
AI agent design, including LLM-based extraction, deterministic agent patterns, orchestration frameworks, and multi-stage pipeline architecture.
Extraction accuracy concepts, including eval harness design, scoring methodology, baseline comparison, and prompt iteration.
Knowledge graph concepts, including entity relationship modeling, semantic abstraction, dependency graph traversal, and change impact analysis.
Human-in-the-loop design patterns, including review gate placement, correction capture, audit logging, and reviewer experience.
Document understanding across complex insurance documents, including rate manuals, carrier filing documents, underwriting guidelines, and product manuscripts.
Event-driven system design, including versioned event contracts, Pub/Sub patterns, durable state management, and agent checkpointing.
Responsible AI practices, including hallucination detection, deterministic output validation, schema-enforced output gates, and accuracy-gated deployment.
Cloud-native platforms, multi-tenant SaaS architecture, and enterprise security patterns relevant to carrier data handling.

Nice-to-haves

Preferred Master s degree or equivalent advanced experience in a relevant field.

Application prep

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)