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Monetization Science Strategist

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Bentley Systems

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Monetization Science Strategist to join our Strategy team within the Strategic Pricing and Monetization organization. This role is for a first-principles thinker who is passionate about using data, machine learning, and advanced analytics to solve complex monetization challenges. You will be responsible for pioneering our approach to sophisticated commercial strategies. This includes developing advanced pricing models (such as token-based, API, and consumption-based) and leveraging predictive analytics (like customer lifetime value and churn models) to help drive overall business impact. This is a unique opportunity to shape the future strategy of how Bentley Systems monetizes from the ground up.

Job Responsibility:

  • Serve as a trusted quantitative advisor to the product management, marketing, sales, and engineering teams
  • Design, build, and analyze monetization strategies for new and existing products, with a focus on advanced pricing models like API pricing, tokenization, and consumption
  • Apply machine learning, statistical analysis, econometric modeling, and optimization science to understand customer behavior, predict demand, and measure price elasticity
  • Develop predictive models to forecast customer lifetime value (LTV) and identify key drivers of churn, turning these insights into actionable strategies
  • Develop and run simulations to forecast the revenue, adoption, and usage impact of new commercial strategies
  • Partner with the marketing team on marketing science projects, such as customer segmentation and marketing mix modeling to optimize spend and targeting
  • Translate complex analytical findings into clear, actionable insights and strategic recommendations for senior leadership
  • Stay at the forefront of innovation in SaaS monetization, data science, and machine learning, and champion new methodologies within the team

Requirements:

  • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, or a related discipline
  • 5+ years of experience in a data science or quantitative analytics role with a focus on commercial or product strategy
  • Strong proficiency in Python or R for data analysis and modeling, and expertise in SQL
  • Demonstrated experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical techniques
  • Experience in developing and implementing predictive models in a business context

Nice to have:

  • Master's or PhD degree in a quantitative field
  • Experience pricing for SaaS, usage-based products, APIs, or software with AI/ML components
  • Experience in a consulting firm or a high-growth tech company, focused on pricing, product strategy, or growth
  • Familiarity with our industry (infrastructure engineering software, CAD products) or B2B software

Additional Information:

Job Posted:
May 15, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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