# Scaled Customer Programs Engineer

**Company:** [Retool](https://hotfix.jobs/companies/retool)
**Location:** Remote
**Role:** GTM Engineering
**Salary:** $152k – $224k/yr
**Experience:** 3+ years
**Skills:** Python, SQL, JavaScript, Prompt Engineering, llm automation, Salesforce, Marketo, iterable, outreach.io, HubSpot, Amplitude, Mixpanel, heap, A/B Testing, applied statistics
**Posted:** 2026-08-12

> 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.

## Job Description

## 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).

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