Summary

With a data-centric approach to P&C insurance, Guidewire helps insurers worldwide improve how they operate using Guidewire Cloud Platform, the industry's most trusted platform.

As Director of Product Marketing for Data and Machine Learning, you will lead the marketing strategy for Guidewire's Data Platform, which sits at the core of Guidewire Cloud Platform and gives IT and data teams the trusted foundation to turn insurance data into the analytics, ML, and AI that improve how insurers run.

You will define and run the strategies that drive adoption, equip our sales teams, and generate pipeline. You will work closely with product, engineering, sales, enablement, and marketing, turning the underpinnings of our technology into business-outcome conversations that land with technical leadership at insurers.

Job Description

The impact you will have

• Own the narrative and positioning for the Data Platform, from the category-level story down to the proof points that survive a technical review

• Translate the underpinnings of the technology into business-outcome conversations that resonate with technical leadership at insurers, from the CIO to the Chief Data Officer 

• Build content and sales enablement that holds up with a technical audience and that field teams actually use

• Create a go-to-market plan that earns the attention of data and AI buyers and converts it into pipeline and platform adoption

• Deliver keynotes at industry conferences and run deep technical workshops with customers alongside solution consulting

• Partner deeply with product and engineering as a technical peer to bring new products and capabilities to market

• Keep Guidewire’s roadmap and story ahead of the market by tracking where the data and AI market is heading and feeding that intelligence back to product and the field

• Earn customer trust and turn their results into stories that demonstrate measurable business value

What we look for

• 10+ years of technical GTM (product marketing, solution engineering, or product management) experience at an enterprise software company, including a track record marketing technical data, analytics, or AI products

• A technical degree in Computer Science, Data Science, or Computer Engineering, or equivalent hands-on experience

• You shape the market conversation rather than follow it, with the technical depth to earn engineering's respect and a point of view the rest of the market wants to hear

• Working fluently with the modern data stack across data lakes and lakehouses, warehousing, ETL and ELT pipelines, data modeling, and the architecture choices behind batch and real-time data, enough to explain why those choices matter to a buyer. Hands-on exposure to platforms like Snowflake, Databricks, or BigQuery is expected, not just awareness of the names.

• The ability to synthesize technical information across data analytics, AI, machine learning, LLMs, and data science, then turn it into clear messaging for both technical and business audiences

• Solid grasp of the machine learning lifecycle, including MLOps concepts such as model training, deployment, and ongoing monitoring, plus governance topics like explainability and bias that carry regulatory weight in insurance

• A portfolio of technical content that data scientists, ML engineers, and developers found genuinely useful, alongside the sales enablement and go-to-market work behind it

• Proven experience presenting and delivering keynotes to technical buyers at conferences and in customer engagements

• Strong writing and presentation skills are a must. You take dense technical input and shape it into messaging, content, and stories that are clear, sharp, and built to persuade, and you do it at volume. Using AI to get there is fine, but without a point of view on what good looks like and the experience to back it, your work will read as average.

• A current read on the data and AI/ML market, with the curiosity to keep up as it shifts

The US base salary range for this full-time position is $168,000 - $276,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

About Guidewire

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.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.