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RetoolRetoolUnited States

Scaled Customer Programs Engineer

Build and operate AI-powered customer engagement systems that use telemetry, scoring models, and segmentation to drive retention and expansion across a B2B SaaS customer base. The role requires 3–5 years of relevant experience, quantitative skills, and proficiency with Python, SQL, JavaScript, and GTM technology.

152k – 224k/yr
Remote3+ YOEGTM Engineering

About the role

Responsibilities

  • Design and implement an AI-powered customer engagement platform that delivers personalized, 1:1-quality engagement using product telemetry, usage patterns, business value, and maturity signals.
  • Build and iterate on predictive customer scoring models, including churn prediction and momentum scoring; backtest results and share findings with leadership.
  • Use data science and AI-assisted segmentation to identify risk, growth, and migration-readiness cohorts.
  • Build trigger-based systems that surface relevant offers, including upsell, services, and migration assistance.
  • Create AI-driven workflows that communicate realized ROI and peer benchmarks to Economic Buyers.
  • Connect CRM, marketing automation, product analytics, and support platforms for seamless data flow.
  • Track program and application effectiveness, iterate based on feedback and outcomes, and rapidly prototype tools with Retool's AI app generation.

Requirements

  • Bachelor's degree in a quantitative or technical field, or equivalent experience.
  • 3–5 years of experience in GTM engineering, marketing operations, or similar functions building data-driven customer engagement systems in B2B SaaS.
  • Proficiency with AI-assisted development, including prompt engineering, code generation, and LLM-based automation.
  • Working knowledge of Python, SQL, and JavaScript.
  • Experience evaluating, iterating on, and building models from scratch.
  • Hands-on experience with CRM, marketing automation, and product analytics platforms, including nurture sequences and dynamic content logic.
  • Experience building customer health, propensity, or momentum scoring models and translating them into automated workflows.
  • Familiarity with A/B testing and applied statistics.
  • Strong understanding of SaaS metrics such as NRR, expansion, and churn.
  • Ability to work independently, communicate clearly with non-technical stakeholders, and thrive in ambiguity.

Compensation & Benefits

  • Base pay range: $151,704–$224,400 per year.
  • Additional equity and/or commission may be provided depending on the position.
  • Comprehensive benefits including medical, dental, vision, and 401(k).

Skills

PythonSQLJavaScriptPrompt Engineeringllm automationSalesforceMarketoiterableoutreach.ioHubSpotAmplitudeMixpanelheapA/B Testingapplied statistics

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