Senior Product Manager – Agentic AI Platform

🕒 vor 7 Tagen

🇬🇧 Vereinigtes Königreich – Remote

💵 $132.000 - $188.600 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

👻 Geisterscore 0%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Duck Creek Technologies

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2000

🛡️ Versicherung

☁️ SaaS

🏢 Unternehmen

💰 €230.000.000 Private Equity Round im 2020-06

Insurance • SaaS • Enterprise

Duck Creek Technologies ist ein führender Anbieter umfassender Softwarelösungen für die Versicherungsbranche, mit besonderem Fokus auf Sach- und Haftpflichtversicherungen (P&C). Ihre Plattform bietet eine Suite von Kernlösungen, einschließlich Policenmanagement, Abrechnung, Schadensbearbeitung und Analytik. Mit einem starken Schwerpunkt auf Low-Code-Konfigurierbarkeit ermöglicht Duck Creek Versicherern, schnell Änderungen umzusetzen und neue Produkte auf den Markt zu bringen, um den Bedürfnissen des Marktes gerecht zu werden. Das Unternehmen legt zudem großen Wert auf Partnerschaften mit führenden Technologieinnovatoren, um verbesserte Kundenerfahrungen zu bieten und die Abläufe für Versicherer weltweit zu optimieren.

Beschreibung

• Own roadmap execution and product requirements for major capabilities within Duck Creek’s Agentic AI Platform, including agent orchestration, lifecycle management, governance, observability, and platform 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 agentic platform capabilities, including agent templates, tool and API access, agent registry, prompt and instruction management, task orchestration, human-in-the-loop controls, escalation, fallback, and approval patterns • Support agent grounding in approved insurance context, including core system data, business rules, documents, configurations, metadata, and knowledge sources • Establish product requirements for 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, technical complexity, security, compliance, operational readiness, and delivery capacity • Recommend roadmap trade-offs, sequencing decisions, and platform investments with Product and Engineering leaders • 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, AI governance, observability, orchestration, and platform technology trends

🎯 Anforderungen

• 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 stakeholders • 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, including approved knowledge sources, business rules, metadata, documents, system data, and governed data access • Knowledge of insurance technology environments across underwriting, claims, policy, billing, distribution, rating, reporting, or customer servicing • Skill in translating complex 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 clearly to technical and non-technical stakeholders • Legally authorized to work in the country of the job location

🏖️ Vorteile

• 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 • Approximately 25% travel