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 Retool customer using AI, generating customer-specific messages based on their product usage, business value realization, and maturity stage
- Develop Telemetry-Driven Customer Intelligence: Partner with Data Engineering to leverage product telemetry, usage patterns, and support signals to build a real-time view of customer health and expansion readiness. Perform daily deep-dive analysis on customer usage data to surface actionable signals for the GTM Programs team.
- Create & Operationalize Customer Momentum Scoring: Maintain and iterate on predictive models (e.g., churn prediction) in partnership with Data Engineering, regularly backtesting results, sharing findings with leadership, and identifying opportunities to increase model sophistication over time
- Deliver Personalized Business Value Communications: Build AI-driven workflows that generate and deliver tailored messages to Economic Buyers communicating the realized value from their Retool investment, benchmarking their outcomes against peers, and engaging them around next steps to drive additional ROI
- Identify & Engage Customer Cohorts at Scale: Use data science, AI-assisted tooling and segmentation to identify customer cohorts with shared characteristics (risk signals, growth opportunities, migration readiness) and design automated, targeted programs that address each cohort's specific needs
- Surface Expansion Offers & Retention Interventions: Build trigger-based systems that automatically surface contextually relevant offers - upsell packages, services engagements, migration assistance, premium support - to the right customer at the right moment based on behavioral and telemetry signals
- Integrate Across the GTM Tech Stack: Connect the engagement system with CRM, marketing automation, product analytics, and support platforms to ensure seamless data flow and coordinated customer touchpoints across all channels
- Measure, Iterate & Optimize: Measure the effectiveness of apps, automations, and engagement programs through usage tracking and outcome analysis. Iterate on tools and workflows based on feedback from GTM stakeholders and observed results.
- Leverage AI-assisted development tools including Retool's AI app generation capabilities to rapidly prototype and ship internal applications, automate workflows, and perform data analysis. Serve as a force multiplier for the GTM Programs team by translating business needs into working tools quickly
THE SKILLSET YOU'LL BRING- Bachelor's degree in a quantitative or technical field (computer science, data science, economics, engineering, or similar) or equivalent professional experience in a technical GTM or operations engineering role.
- 3-5 years of experience in GTM engineering, marketing operations/technology, data engineering, or a similar role building data-driven customer engagement systems in a B2B SaaS environment
- Proficiency with AI-assisted development workflows including prompt engineering, AI code generation tools, and LLM-based automation. Ability to evaluate, iterate on, and maintain AI-generated outputs as well as build models from scratch.
- Working proficiency in Python, SQL, and JavaScript. Familiarity with data platforms (e.g., Snowflake, BigQuery) as a consumer/analyst rather than infrastructure owner. Experience with AI-assisted app development platforms is a strong plus
- Experience with CRM platforms (Salesforce), marketing automation tools (e.g., Marketo, Iterable, Outreach.io, Hubspot), and product analytics platforms (e.g., Amplitude, Mixpanel, Heap) with hands on experience designing multi-touch nurture sequences, dynamic content logic, and deliverability management.
- Familiarity with experimentation and applied statistics, comfortable designing A/B tests, understanding statistical significance, and structuring controlled experiments to measure program effectiveness.
- Demonstrated ability to build customer scoring models (health scores, propensity models, momentum scores) and translate them into automated engagement workflows
- Strong understanding of SaaS business metrics, net revenue retention, expansion rates, churn indicators and how customer engagement drives them
- Familiarity with B2B selling frameworks like Command of the Message and MEDDIC/MEDDPIC
- Comfortable operating at the intersection of data engineering, AI, and go-to-market strategy. You think in systems, not just scripts
- Excellent communication skills with the ability to explain technical systems and their business impact to non-technical stakeholders
- Self-directed builder who thrives in ambiguity, moves fast, and is energized by creating something new from scratch
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.
