Summary
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 haveOwn 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 Guidewire9s 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 for10+ 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.
