WHAT YOU'LL DO- 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
THE SKILLSET YOU'LL BRING- 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
For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate's experience and qualifications, and location.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
The base pay range for this role is $151,704 - $224,400 per year.
Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!
Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.
