Senior Product Manager – Agentic AI Platform

🔥 0 minutes ago

🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

💵 $132k - $235.2k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Duck Creek Technologies

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🛡️ Insurance

☁️ SaaS

🏢 Enterprise

💰 $230M Private Equity Round on 2020-06

Insurance • SaaS • Enterprise

Duck Creek Technologies is a leading provider of comprehensive software solutions for the insurance industry, specifically focusing on property and casualty (P&C) insurance. Their platform offers a suite of core system solutions, including policy, billing, claims, and analytics. With a strong emphasis on low-code configurability, Duck Creek enables insurers to quickly implement changes and launch new products to meet market needs. The company also emphasizes partnerships with leading technology innovators to deliver enhanced customer experiences and streamline operations for insurers around the world.

📋 Description

• Own roadmap execution and product requirements for major Agentic AI Platform capabilities, including orchestration, lifecycle management, governance, observability, and scalability • Translate AI platform, agentic workflow, data, and architecture problems into epics, features, use cases, requirements, and user stories • Partner with Engineering and Architecture to define scalable patterns for creating, deploying, coordinating, monitoring, evaluating, versioning, and retiring AI agents • Define reusable capabilities such as agent templates, tool and API access, agent registry, prompt and instruction management, task orchestration, human-in-the-loop controls, escalation, fallback, and approval patterns • Partner with semantic data, data orchestration, AI, and product teams to ground agents in approved insurance context • Establish product requirements for AI assurance, including explainability, traceability, audit logs, model lineage, evaluation, guardrails, access controls, security, compliance, and responsible AI governance • Measure adoption, reliability, safety, and business impact using metrics such as time to value, agent performance, task completion, human override rates, output quality, latency, cost, audit coverage, and customer value • Prioritize roadmap items and backlog decisions while balancing customer value, complexity, security, compliance, readiness, and delivery capacity • Recommend roadmap trade-offs, sequencing decisions, and platform investments • Collaborate with Customer Success, Professional Services, and customer stakeholders on implementation needs, adoption barriers, operational requirements, and value outcomes • Communicate complex AI platform decisions to product, customer-facing, technical, and leadership stakeholders • Monitor emerging agentic AI, governance, observability, orchestration, and platform technology trends

🎯 Requirements

• Bachelor’s degree, master’s degree, or equivalent experience in Computer Science, Information Systems, Engineering, Data Science, Business, Insurance, Product Management, or a related discipline • 6+ years of experience in technical product management, platform services, software engineering, AI product management, infrastructure management, PaaS, or related roles • Experience owning complex product capabilities requiring alignment across product, engineering, architecture, data, security, customer-facing, and business teams • Experience with AI, machine learning, generative AI, large language models, agentic AI, automation platforms, workflow systems, data platforms, integration platforms, or enterprise application platforms • Knowledge of agentic AI concepts, including agent orchestration, tool use, prompt and instruction management, context grounding, evaluation, observability, and lifecycle management • Knowledge of AI assurance and governance concepts, including explainability, interpretability, traceability, auditability, model lineage, monitoring, policy enforcement, and access controls • Knowledge of platform product management practices, including roadmap execution, product discovery, requirements definition, backlog prioritization, and release planning • Knowledge of enterprise SaaS platform considerations, including scalability, reliability, security, compliance, configurability, and operational supportability • Knowledge of data grounding approaches and governed data access • Knowledge of insurance technology environments across underwriting, claims, policy, billing, distribution, rating, reporting, or customer servicing • Skill in translating technical concepts into product requirements, use cases, user stories, and acceptance criteria • Skill in evaluating trade-offs across innovation, customer value, technical complexity, security, compliance, and operational readiness • Skill in using product metrics to assess adoption, performance, reliability, safety, quality, cost, and customer value • Skill in partnering with engineering, architecture, data science, security, legal, compliance, and customer-facing teams • Ability to define reusable, configurable, observable, secure, explainable, and governed AI agent capabilities • Ability to influence cross-functional stakeholders without direct reporting authority • Ability to communicate AI platform decisions to technical and non-technical stakeholders • Ability to operate in an emerging technology area • Approximately 25% travel • Legally authorized to work in the country of the job location

🏖️ Benefits

• 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 • Inclusive culture and equal opportunity • AI-assisted recruitment tools reviewed by Duck Creek team members