Product Marketing Principal- PricingCenter & Predict

Overview

Own the product marketing strategy for PricingCenter and Predict, helping Guidewire empower actuarial teams to modernize pricing and predictive modeling workflows and driving adoption, pipeline and sales enablement within the actuarial segment.

What you'll do

• Define the go-to-market positioning for PricingCenter and Predict, from high-level category storytelling down to technical proof points required for actuarial review.
• Translate pricing technology and predictive modeling into business-outcome conversations that land with technical leadership at insurers.
• Develop high-credibility assets, including whitepapers, technical briefs, and data-driven case studies, for an actuarial audience.
• Create sales enablement tools, such as battlecards and objection-handling guides, that hold up under technical scrutiny and are practical for field teams.
• Partner with product management and engineering as a peer to bring new capabilities to market and influence the product roadmap based on actuarial feedback and market trends.
• Deliver industry-focused presentations, keynotes, and deep-dive technical sessions at actuarial conferences and customer workshops.
• Monitor and analyze the competitive landscape specifically related to insurance pricing and predictive analytics software.

What you'll need

• 10+ years of experience in product marketing, insurance-focused technical marketing, or actuarial software GTM at an enterprise software company.
• Deep understanding of P&C insurance pricing workflows, predictive modeling, and the needs and pain points of the actuarial and data science persona.
• Experience leveraging statistical modeling and machine learning techniques to drive actionable business insights, preferably within the insurance or actuarial sector.
• Proven ability to synthesize complex actuarial concepts and data science into clear, sharp, and persuasive narratives for both technical and business audiences.
• Experience with enterprise software or SaaS GTM strategies, including driving adoption and generating pipeline.
• Exceptional writing and presentation skills, able to shape dense technical input into messaging that is clear, sharp, and built to persuade at scale.
• Comfortable discussing reference architectures and modeling concepts with data scientists, while distilling them into clear, visual narratives for executives.

Nice to have

• Proficiency in MLOps, Python, and R.

Details

• Location: United States, remote.
• Employment type: full-time.
• US base salary range stated as $276,000; actual base pay depends on experience, skills, education, training, location and other factors.
• Eligible for benefits including health, dental and vision insurance, paid time off, and a company-sponsored retirement plan; some roles may be eligible for annual bonus, commissions and/or long-term incentive awards.