- Build an AI-Powered Customer Engagement System: Design and implement an automated platform that delivers personalized, 1:1-quality engagement to every customer — generating messages based on product telemetry, usage patterns, business value, and maturity stage, in partnership with Data Engineering
- Create & Operationalize Customer Scoring Models: Build and iterate on predictive models (e.g., churn prediction, momentum scoring), regularly backtesting results and sharing findings with leadership
- Identify Cohorts & Surface Offers at Scale: Use data science and AI-assisted segmentation to identify customer cohorts (risk, growth, migration readiness) and build trigger-based systems that surface the right offer — upsell, services, migration assistance — at the right moment
- Deliver Value Communications & Integrate the Tech Stack: Build AI-driven workflows that communicate realized ROI and peer benchmarks to Economic Buyers, connecting CRM, marketing automation, product analytics, and support platforms for seamless data flow
- Measure, Iterate & Ship Fast: Track effectiveness of apps and programs, iterate based on feedback and outcomes, and use Retool's AI app generation to rapidly prototype tools as a force multiplier for the GTM Programs team
- Bachelor's degree in a quantitative/technical field (or equivalent experience) with 3-5 years in GTM engineering, marketing ops, or similar functions building data-driven customer engagement systems in B2B SaaS
- Proficiency with AI-assisted development (prompt engineering, code generation, LLM-based automation) plus working knowledge of Python, SQL, and JavaScript; comfortable evaluating, iterating on, and building models from scratch
- Hands-on experience with CRM (Salesforce), marketing automation (Marketo, Iterable, Outreach.io, HubSpot), and product analytics (Amplitude, Mixpanel, Heap), including nurture sequences and dynamic content logic
- Demonstrated ability to build customer scoring models (health, propensity, momentum) and translate them into automated workflows, with familiarity in A/B testing and applied statistics
- Strong grasp of SaaS metrics (NRR, expansion, churn); a self-directed builder who thinks in systems, communicates clearly to non-technical stakeholders, and thrives in ambiguity
Skills Required
- Bachelor's degree in a quantitative/technical field or equivalent experience with 3-5 years in GTM engineering, marketing ops, or similar B2B SaaS roles
- Proficiency with AI-assisted development, including prompt engineering and LLM-based automation
- Working knowledge of Python, SQL, and JavaScript
- Hands-on experience with CRM (Salesforce)
- Experience with marketing automation platforms (Marketo, Iterable, Outreach.io, HubSpot)
- Experience with product analytics tools (Amplitude, Mixpanel, Heap)
- Demonstrated ability to build and operationalize customer scoring models (health, churn, momentum)
- Familiarity with A/B testing and applied statistics
- Strong understanding of SaaS metrics (NRR, expansion, churn) and ability to communicate to non-technical stakeholders
What We Do
Retool is a development platform for building business software. Users can visually design apps that interface with any database or API, and switch to code to customize how their apps look and work. With Retool, developers ship more apps and move their business forward—all in less time. Thousands of teams at companies like Amazon, DoorDash, Peloton, and Brex collaborate around custom-built Retool apps to solve internal workflows. We're just getting started and growing quickly—join us!
Why Work With Us
Retools are solution drivers—whether fixing a button misalignment or enabling customers to build with the newest AI technologies, we wear many hats and act like owners. Our small teams work on big problems, pushing hard and moving quickly to create outsized impact. We hold each other accountable and celebrate together when we get it right. Join us!
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