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14 часов назад

Director, Product Marketing - Data & ML (AI)

168 000 - 276 000$
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Director, Product Marketing - Data & ML (AI): Leading positioning, go-to-market strategy, sales enablement, and customer adoption for Guidewire's Data Platform within its cloud insurance platform with an accent on data analytics, machine learning, AI, and technical buyer engagement. Focus on translating data architecture and ML lifecycle concepts into business-outcome messaging, building technical content, delivering workshops and keynotes, and driving platform pipeline.

Location: United States - San Mateo, CA

Salary: $168,000–$276,000 base salary per year

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers worldwide.

What you will do

  • Own the narrative, positioning, and proof points for the Data Platform.
  • Translate data and machine learning technology into business-outcome messaging for insurance industry technical leaders.
  • Build technical content, sales enablement materials, and go-to-market programs that drive pipeline and platform adoption.
  • Deliver industry conference keynotes and deep technical customer workshops with solution consulting.
  • Partner with product and engineering to bring new products and capabilities to market.
  • Track the data and AI market, inform product direction, and develop customer stories demonstrating measurable business value.

Requirements

  • 10+ years of technical go-to-market experience in product marketing, solution engineering, or product management at an enterprise software company.
  • Experience marketing technical data, analytics, or AI products.
  • Technical degree in Computer Science, Data Science, or Computer Engineering, or equivalent hands-on experience.
  • Fluency with data lakes, lakehouses, data warehousing, ETL and ELT pipelines, data modeling, and batch and real-time data architecture.
  • Hands-on exposure to Snowflake, Databricks, or BigQuery, plus knowledge of data analytics, AI, machine learning, LLMs, and data science.
  • Understanding of the machine learning lifecycle, MLOps, model governance, explainability, and bias, with strong writing, presentation, keynote, and technical content skills.

Culture & Benefits

  • Full-time employment with health, dental, and vision insurance.
  • Paid time off and a company-sponsored retirement plan.
  • Potential eligibility for annual bonuses, commissions, and long-term incentive awards depending on role and performance.
  • Inclusive workplace and equal opportunity employment practices.

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