Hiring: Technical Product Marketing- Principal (AI/ML) Company: Guidewire Software Location: United States Job Posted Time: 2026-09-10 11:56:41 Employment Type: Full-time Target Skills & Keywords : Embedded Systems, LLM, MLOps, Product Management, R, RAG, RBAC About the job Experience: •5+ years working directly with AI/ML products or platforms (e.g., LLMs, RAG pipelines, vector stores, agent frameworks, or MLOps/LLMOps tooling). •15+ years in B2B enterprise product marketing, technical marketing, solutions marketing, or adjacent roles, with meaningful time spent on data and/or AI/ML offerings. Required Skills: •Drive the positioning and messaging for how Guidewire’s AI Assistants, Agents, and Agentic Framework turn our systems of record into systems of intelligence. Your work will give them a concrete, defensible path to deploy insurance‑grade AI at scale. •Define and continuously refine the Guidewire AI story and connect this narrative to key offerings so the field, customers, and partners hear one coherent AI story across products and releases. •CDOs (Data & Governance): Explain Guidewire's P&C data gravity advantage and articulate a clear story on model governance, explainability (XAI), hallucination mitigation, and evaluation •CIOs (Orchestration & Scale): Position the Agentic Framework/orchestration layer as the governed method for deploying agents, translating architecture (multi-tenant, data residency, isolation, latency, RBAC, observability) into reliability, security, and performance value. •Business Leaders (Claims / Underwriting / Actuarial): Tie AI capabilities to business KPIs (loss/expense ratios, quote turnaround, FNOL handling time, leakage reduction, NPS) to demonstrate how embedded AI delivers faster, better decisions. •Developers & Solution Architects: Define the developer value proposition for the Agentic Framework and tools (APIs, SDKs, Agent Studio) with narratives focused on ease, safety, and speed •Partner with Product Management and Engineering to turn roadmap and architecture into value‑based narratives, first‑call decks, sales plays, and enablement for customer‑facing teams. •Turn concepts like RAG (retrieval‑augmented generation), tool/agent orchestration, evaluation & testing, knowledge graphs, and policy‑aware routing into accessible, outcome‑oriented stories for technical and executive audiences. Qualifications: •Applied hands-on capability in cloud platforms, MLOps / LLMOps, or data platforms (e.g., designing workflows with RAG, vector stores, or orchestration frameworks). •Hands-on experience partnering with engineering or data science to market/sell AI‑powered capabilities (e.g., retrieval architectures, prompts/guardrails, evaluation frameworks, safety/monitoring pipelines) into production. •Why Guidewire & Why This Role •Unique Data & Domain Advantage: We sit at the heart of our customers’ core operations, with deep domain models and workflows expertise, creating the data gravity and context that production‑grade AI requires. •AI as a Top‑Level Priority: Guidewire is investing heavily in AI as a core pillar of our product and platform strategy. •Impact and Visibility: This is a high‑visibility role working across Product, Engineering, Sales, Customer Success, and Executive Leadership. The narratives you craft will shape how customers, partners, analysts, and the market understand Guidewire’s role in the AI era. •If you want to build the AI story for the P&C industry’s leading platform and help CDOs, CIOs, and developers turn AI from experiments into governed, production‑grade intelligent systems, we’d love to talk. •Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. •For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC. Compensation: •$150,000 - $269,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!