Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success

What you'll do

• Set the roadmap and technical standards for GTM Intelligence and Technical Success insight products; build and lead a small data science team.
• Develop customer health, adoption, expansion, and churn models, plus next-best-action systems and measurement frameworks for interventions.
• Turn customer, product, revenue, and field data into embedded workflows and recommendations for GTM, Technical Success, and leadership.

What they ask for

• 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field.
• Deep technical skill in SQL and Python.
• Applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems.
• Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review.

Nice to have

• Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage.
• Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams.

Pay

$441K – $515K USD total pay

Tools

SQL, Python, Salesforce

AI focus

Builds AI/ML-powered customer intelligence products, including predictive and causal models, propensity scores, and next-best-action systems for customer adoption, health, retention, and expansion.