Marketing Science & Growth Lead

Range
McLean, VAPosted 27 March 2026

Job Description

Marketing Science & Growth Lead Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system. Backed by Google's Gradient Ventures, Cathay Innovations, and Scale Venture Partners, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies. If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together. ABOUT THE ROLE Range is looking for a Marketing Science & Growth Lead to play a critical role as we scale our all-in-one wealth management platform. This role sits at the intersection of growth marketing, advanced analytics, and data infrastructure, partnering closely with marketing, product, and engineering to drive efficient, measurable growth. You’ll own the technical and analytical backbone of our marketing engine — from paid and organic performance optimization to experimentation, modeling, and attribution. This is a highly impactful role for someone with a startup mindset who thrives on solving complex, ambiguous problems and translating data into clear business decisions. This role is based at Range’s headquarters in McLean, VA, and follows an in-office schedule Monday through Friday. If you’re not currently located in the area, relocation will be a contingency for employment. At Range, you’ll help define how we measure success, where we invest next, and how we continuously improve the way members discover and engage with our platform. WHAT YOU’LL DO WITH US MARKETING STRATEGY & OPTIMIZATION - Partner with the performance marketing team to optimize spend and efficiency across paid channels including Meta, Google, CTV, affiliates, and emerging platforms. - Develop quantitative frameworks to identify high-ROI channels, audiences, and creative strategies to guide scaling decisions. - Collaborate with content and organic teams to analyze SEO and social performance, connecting upper-funnel engagement to downstream conversion and revenue. - Support experimentation, pricing, and go-to-market initiatives through rigorous measurement and performance analysis. ADVANCED ANALYTICS, MODELING & MEASUREMENT - Design and own marketing mix models (MMM) to quantify true channel-level ROI and inform budget allocation decisions. - Build incrementality and causal testing frameworks to distinguish real lift from platform-reported performance. - Develop predictive models for purchase propensity, audience quality, churn, retention, and lifetime value. - Own attribution analysis across channels, including multi-touch attribution and spend efficiency studies. DATA INFRASTRUCTURE & SIGNAL QUALITY - Build and maintain scalable data pipelines aggregating marketing, product, and revenue data from third-party platforms and internal systems. - Implement and improve server-side tracking, identity resolution, and cross-device stitching to strengthen conversion signals. - Ensure data accuracy, reliability, and consistency across reporting, experimentation, and modeling layers. EXPERIMENTATION & CONVERSION OPTIMIZATION - Lead an always-on CRO and experimentation program across landing pages, signup flows, and lifecycle touchpoints. - Design statistical validation frameworks to prevent false positives and ensure experiments can be safely scaled. - Maintain a centraliz ... (truncated, view full listing at source)
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