Senior Product Manager – Agentic AI Platform

This is a fully remote position, open to applicants in United Kingdom, +1 more country.

📋 Description

• Take ownership of the roadmap execution and product requirements for key capabilities of the Agentic AI Platform, including orchestration, lifecycle management, governance, observability, and scalability.

• Convert challenges related to the AI platform, agentic workflows, data, and architecture into epics, features, use cases, requirements, and user stories.

• Collaborate with Engineering and Architecture teams to establish scalable patterns for creating, deploying, coordinating, monitoring, evaluating, versioning, and retiring AI agents.

• Define reusable components 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.

• Work alongside semantic data, data orchestration, AI, and product teams to ensure agents are grounded in an approved insurance context.

• Set product requirements for AI assurance, including explainability, traceability, audit logs, model lineage, evaluation, guardrails, access controls, security, compliance, and responsible AI governance.

• Evaluate 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, balancing customer value, complexity, security, compliance, readiness, and delivery capacity.

• Suggest roadmap trade-offs, sequencing decisions, and platform investments.

• Partner with Customer Success, Professional Services, and customer stakeholders to address implementation needs, adoption barriers, operational requirements, and value outcomes.

• Convey complex AI platform decisions to product, customer-facing, technical, and leadership stakeholders.

• Keep abreast of emerging trends in agentic AI, governance, observability, orchestration, and platform technologies.

⛳️ 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 field.

• 6+ years of experience in technical product management, platform services, software engineering, AI product management, infrastructure management, PaaS, or similar roles.

• Proven experience in managing complex product capabilities that require alignment across product, engineering, architecture, data, security, customer-facing, and business teams.

• Familiarity with AI, machine learning, generative AI, large language models, agentic AI, automation platforms, workflow systems, data platforms, integration platforms, or enterprise application platforms.

• Understanding 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.

• Proficient in platform product management practices, including roadmap execution, product discovery, requirements definition, backlog prioritization, and release planning.

• Awareness of enterprise SaaS platform considerations, including scalability, reliability, security, compliance, configurability, and operational supportability.

• Knowledge of data grounding methods and governed data access.

• Familiarity with insurance technology environments across underwriting, claims, policy, billing, distribution, rating, reporting, or customer servicing.

• Ability to translate technical concepts into product requirements, use cases, user stories, and acceptance criteria.

• Skill in assessing trade-offs among innovation, customer value, technical complexity, security, compliance, and operational readiness.

• Proficiency in using product metrics to evaluate adoption, performance, reliability, safety, quality, cost, and customer value.

• Experience collaborating with engineering, architecture, data science, security, legal, compliance, and customer-facing teams.

• Capability to define reusable, configurable, observable, secure, explainable, and governed AI agent capabilities.

• Skill in influencing cross-functional stakeholders without direct reporting authority.

• Ability to communicate AI platform decisions to both technical and non-technical stakeholders.

• Capacity to operate in an evolving technology landscape.

• Willingness to travel approximately 25% of the time.

• Legally authorized to work in the country where the job is located.

🏝️ Benefits

• Flexible work environment.

• Medical, dental, vision, life, and disability insurance.

• 401(k) retirement plan with a 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.