Senior Product Manager – AI Gateway

🔥 3 hours ago

🌐 United States, United Kingdom – Remote

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

🏄 California – Remote

🏄 California – Remote

💵 $132k - $235.2k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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 product strategy, roadmap, and execution for AI Gateway capabilities within Duck Creek’s Agentic AI Platform • Define API management, MCP gateway, model and tool connectivity, extensibility, and marketplace enablement capabilities • Translate AI ecosystem, integration, agent interoperability, and architecture needs into epics, features, use cases, requirements, user stories, and measurable outcomes • Partner with Engineering and Architecture on gateway patterns for discovery, registration, authentication, authorization, invocation, routing, lifecycle management, versioning, monitoring, and deprecation • Establish requirements for integrating Duck Creek-built, partner-built, and customer-built agents using governed interoperability patterns • Define safe model, agent, tool, and API access capabilities, including permissions, entitlements, tenant isolation, usage controls, secrets handling, audit logs, policy enforcement, and governance workflows • Partner with platform, applications, data, security, and governance teams to support trusted context, responsible AI controls, and reliable insurance-workflow execution • Drive developer, partner, and customer experience through onboarding flows, documentation, certification patterns, diagnostics, testing support, and release readiness • Evaluate trade-offs involving openness, control, innovation, customer value, technical complexity, security, compliance, and operational readiness • Define adoption, reliability, security, and business-impact measures, including latency, integrations, gateway performance, invocation success rates, policy violations, and customer value • Coordinate with internal teams, partners, and customers to align product decisions with platform objectives and customer needs • Support release planning, readiness, and communication by clarifying scope, dependencies, risks, acceptance criteria, and expected outcomes • Monitor emerging AI platform, interoperability, API, model-routing, governance, and developer-ecosystem patterns

🎯 Requirements

• 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, platform services, software engineering, AI product management, platform-as-a-service, or related roles • Experience owning complex platform, integration, developer, API, AI, or ecosystem product capabilities • Experience working with cross-functional stakeholders including product, engineering, architecture, security, customer-facing teams, partners, and business stakeholders • Experience translating ambiguous business and technical problems into product strategy, roadmap priorities, product requirements, release plans, and measurable outcomes • Knowledge of API and integration concepts, including authentication, authorization, routing, rate limiting, throttling, provider management, and observability • Knowledge of AI gateway, agentic AI, model routing, tool connectivity, and AI ecosystem patterns • Knowledge of responsible AI, AI security, prompt injection risk, policy enforcement, auditability, and governance workflows • Knowledge of REST, OpenAPI, MCP, A2A, or similar interoperability protocols • Knowledge of cloud-native platforms, multi-tenant SaaS architecture, event-driven systems, data services, and enterprise security patterns • Knowledge of identity and access management, secrets management, tenant isolation, permissions, entitlements, and usage controls • Knowledge of metering concepts such as token-level accounting, chargeback, usage dimensions, and observability infrastructure • Ability to influence stakeholders without direct authority • Ability to explain complex AI gateway, ecosystem, integration, and security decisions in clear business terms • Ability to use AI-enabled tools for product discovery, analysis, prototyping, documentation, and iterative product development • Legally authorized to work in the country of the job location • ~25% travel

🏖️ 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