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 centralized experimentation repository to document learnings and accelerate future testing velocity.
Reporting, Automation & Decision Support
Develop and automate dashboards that provide clear, actionable insights for marketing leadership and executives.
Reduce manual analysis by building self-serve reporting and automated insights.
Explore and implement automation and agentic systems to enable continuous optimization without manual tuning.
Technical & Analytical Execution
Write and optimize complex SQL queries for large-scale analysis and production data models.
Use Python for advanced analytics, predictive modeling, forecasting, causal analysis, and experimentation evaluation.
Apply statistical and machine-learning techniques to real-world marketing problems with clear business outcomes.
Translate technical findings into concise, actionable recommendations for non-technical stakeholders.
What will set you apart
6–8+ years of experience in growth analytics, marketing analytics, or data science with deep exposure to paid media performance.
Advanced proficiency in SQL and Python, with experience modeling and analyzing complex, large-scale datasets.
Deep understanding of paid acquisition channels, including campaign structure, optimization levers, and measurement limitations.
Experience with marketing mix modeling, causal inference, or incrementality testing.
Familiarity with CRO, experimentation frameworks, and landing page optimization.
Experience with BI tools such as Metabase, Looker, or similar platforms.
Exposure to server-side tracking, CDPs, or identity resolution frameworks.
Strong statistical intuition with the ability to separate signal from noise.
Excellent communication skills and comfort working cross-functionally with marketing, product, engineering, and leadership.
Self-starter who thrives in a fast-moving, highly technical startup environment.
Experience in SaaS, subscription-based businesses or high growth startups a plus
Benefits
Health & Wellness : 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
401(k) : Retirement savings program to support your future
Paid Time Off : Dedicated time to reset and recharge plus most federal holidays
Parental Leave : Comprehensive leave policy for growing families
Meals:
Select meals covered throughout the week
Fitness: Monthly movement stipend
Equity & Career Growth : Early exercise eligibility and a strong focus on professional development
Annual Compensation Reviews : Salary and equity refreshes based on performance
Boomerang Program:
After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return
Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.
#J-18808-Ljbffr
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 centralized experimentation repository to document learnings and accelerate future testing velocity.
Reporting, Automation & Decision Support
Develop and automate dashboards that provide clear, actionable insights for marketing leadership and executives.
Reduce manual analysis by building self-serve reporting and automated insights.
Explore and implement automation and agentic systems to enable continuous optimization without manual tuning.
Technical & Analytical Execution
Write and optimize complex SQL queries for large-scale analysis and production data models.
Use Python for advanced analytics, predictive modeling, forecasting, causal analysis, and experimentation evaluation.
Apply statistical and machine-learning techniques to real-world marketing problems with clear business outcomes.
Translate technical findings into concise, actionable recommendations for non-technical stakeholders.
What will set you apart
6–8+ years of experience in growth analytics, marketing analytics, or data science with deep exposure to paid media performance.
Advanced proficiency in SQL and Python, with experience modeling and analyzing complex, large-scale datasets.
Deep understanding of paid acquisition channels, including campaign structure, optimization levers, and measurement limitations.
Experience with marketing mix modeling, causal inference, or incrementality testing.
Familiarity with CRO, experimentation frameworks, and landing page optimization.
Experience with BI tools such as Metabase, Looker, or similar platforms.
Exposure to server-side tracking, CDPs, or identity resolution frameworks.
Strong statistical intuition with the ability to separate signal from noise.
Excellent communication skills and comfort working cross-functionally with marketing, product, engineering, and leadership.
Self-starter who thrives in a fast-moving, highly technical startup environment.
Experience in SaaS, subscription-based businesses or high growth startups a plus
Benefits
Health & Wellness : 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
401(k) : Retirement savings program to support your future
Paid Time Off : Dedicated time to reset and recharge plus most federal holidays
Parental Leave : Comprehensive leave policy for growing families
Meals:
Select meals covered throughout the week
Fitness: Monthly movement stipend
Equity & Career Growth : Early exercise eligibility and a strong focus on professional development
Annual Compensation Reviews : Salary and equity refreshes based on performance
Boomerang Program:
After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return
Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.
#J-18808-Ljbffr