Technical Product Marketing- Principal (AI/ML)
$150,000–$269,000 year
RemoteUnited States
Job Summary
Define and refine the Guidewire AI story, connecting the narrative to offerings so field, customers, and partners hear a coherent message across products and releases. Lead audience-specific narratives for CDOs, CIOs, business leaders, and developers, translating technical architecture into reliability, security, and performance value. Partner with Product Management and Engineering to turn roadmap and architecture into value-based narratives, first-call decks, and sales plays. Perform technical teardowns of competitive solutions to maintain sharp positioning and enablement for sales and CS teams. Create high-credibility assets such as whitepapers, technical briefs, reference architectures, and executive decks explaining how AI works and why it is designed that way.
Required Qualifications
- 5+ years working directly with AI/ML products or platforms (e.g., LLMs, RAG pipelines, vector stores, agent frameworks, or MLOps/LLMOps tooling)
- Deep understanding of the progression from predictive analytics → generative AI → agentic AI and multi‐agent systems
- Clear, opinionated view on when to use autonomous agents vs. supervised assistants vs. deterministic automation, including appropriate HITL patterns in regulated environments
- Ability to read and discuss reference architectures and sequence diagrams with engineering, then distill them into simple, visual narratives for executives
- Proven ability to present to and influence C‐level audiences (CIO, CDO, CTO, business executives), synthesizing technical detail into sharp, defensible points of view
- Strong writing skills across formats: from a one‐page “why now” brief, to a deep‐dive whitepaper, to a launch keynote deck
- 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
- Demonstrated experience building messaging, positioning, launch plans, and enablement for technical products, especially those sold to IT and technical buyers
- Undergraduate degree in Computer Science, Computer Engineering, &/or Data Science
- hands on development experience in the past
Desired Qualifications
- Hands-on experience with 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
- Experience launching or supporting AI‐driven features or products in regulated industries (financial services, insurance, healthcare, public sector)
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