Full-Time

Marketing Science & Growth Lead

Range

Range

51-200 employees

AI-driven wealth management with CFP guidance

No salary listed

McLean, VA, USA

In Person

Relocation will be a contingency for employment if not currently located in the McLean, VA area.

Category
Growth & Marketing (1)
Required Skills
Python
SQL
Machine Learning
Data Engineering
Looker
Requirements
  • 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 conversion rate optimization, experimentation frameworks, and landing page optimization.
  • Experience with business intelligence tools such as Metabase, Looker, or similar platforms.
  • Exposure to server-side tracking, customer data platforms, 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 software as a service or subscription-based businesses or high growth startups is a plus
Responsibilities
  • Partner with the performance marketing team to optimize spend and efficiency across paid channels including Meta, Google, connected TV, 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 search engine optimization 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.
  • Design and own marketing mix models to quantify true channel-level return on investment 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.
  • 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.
  • Lead an always-on conversion rate optimization 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.
  • 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.
  • 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.
Desired Qualifications
  • Experience with marketing mix modeling, causal inference, or incrementality testing.
  • Familiarity with conversion rate optimization, experimentation frameworks, and landing page optimization.
  • Experience with business intelligence tools such as Metabase, Looker, or similar platforms.
  • Exposure to server-side tracking, customer data platforms, 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 software as a service or subscription-based businesses or high growth startups is a plus

Range.com provides a unified wealth management platform that combines AI-driven financial planning with the guidance of Certified Financial Planners. It serves individuals who want help with investments, taxes, cash flow, and estate planning. The product works by using proprietary AI to pull in real-time financial data and generate personalized advice, while CFPs offer human expertise. Clients access the service through a subscription that covers the platform and advisory support, with optional premium services. Range.com stands out by pairing advanced AI planning with human financial guidance in a single, easy-to-use platform, rather than offering separate tools or consulting. Its main goal is to simplify financial management by consolidating all financial needs into one place, helping clients manage their money more efficiently and make informed decisions.

Company Size

51-200

Company Stage

Series C

Total Funding

$100M

Headquarters

McLean, Virginia

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $60M Series C in 2026, totaling over $100M funding.
  • Manages $400M AUM, $9.5B AUA for 5,000+ customers nationwide.
  • Achieves 300% year-over-year revenue growth from mass affluent demand.

What critics are saying

  • SEC investigates Rai's misleading predictive planning claims, causing outflows.
  • Altruist data breach exposes portfolios, halting AUM growth.
  • Wealthfront's free AI tax tool undercuts Range's subscriptions immediately.

What makes Range unique

  • Range integrates AI advisor Rai with CFPs for predictive planning.
  • Offers 0% AUM fees and subscription model for high-net-worth clients.
  • Supports specialized services like equity compensation and foreign tax filing.

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People at Range who can refer or advise you

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Time Off

Parental Leave

Meals

Fitness

Equity & Career Growth

Technology allowance

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

-4%
WealthTech Strategy Partners
Dec 5th, 2025
Range Raises $60M Series C to Scale Its AI-Powered Wealth Management Platform

Range raises $60M Series C to Scale its ai-powered wealth management platform. Range has raised a $60 million Series C round led by Scale Venture Partners, with participation from Gradient Ventures, Cathay Innovation, and several new investors including 53 Stations. The financing brings the company's total capital raised to more than $100 million. As part of the round, Rocket Money CEO Haroon Mokhtarzada and Scale Venture Partners' Alex Niehenke will join the company's board of advisors, adding experience in consumer finance, product scaling, and venture-backed operational growth. The company plans to use the new capital to expand hiring across AI, product, and go-to-market functions while advancing its AI wealth manager, Rai, to deliver predictive planning and proactive tax optimization. Range also intends to grow its enterprise partnerships and broaden its investment solutions by adding broker-dealer services. The platform currently oversees $400 million in AUM and $9.5 billion in AUA, serving more than 5,000 high-net-worth customers across all 50 states. Range reports 300 percent year-over-year revenue growth, citing demand from households priced out of traditional advisory models. Its AI-driven advisor handles thousands of financial inquiries monthly and has reduced messaging to human advisors by half. With its latest funding, Range aims to expand its national footprint, particularly on the West Coast, and continue redefining wealth management accessibility through technology.

Range
Nov 26th, 2025
Range - Range Raises $60M Series C to Accelerate AI-Driven Wealth Management

Oversubscribed round led by Scale Venture Partners will fuel AI-technology development, West Coast expansion, and broker-dealer services. Rocket Money CEO Haroon Mokhtarzada, Scale Venture Partners’ Alex Niehenke will join the company’s board of advisors

Axios
Nov 25th, 2025
Range raises $60M for AI planning

Range has secured $60 million in Series C funding to enhance its AI-driven financial planning services for mass affluent households. CEO Fahad Hassan highlighted the importance of this funding as many Americans navigate complex financial decisions regarding retirement, taxes, and equity compensation without professional guidance.

Technologies.org
Nov 26th, 2024
Range Secures $28M to Transform Wealth Management

Range, an AI WealthTech platform, has raised $28 million in Series B funding, led by Cathay Innovation with participation from Gradient Ventures, bringing its total funding to $40 million. The platform's AI engine, Rai, offers financial advice 10-20 times faster and reduces fees by 75-90%. Founded in 2021, Range serves over 1,000 high-net-worth members and manages nearly $3 billion in assets. The funding will support product development and team expansion.

PR Newswire
Nov 26th, 2024
AI WealthTech company Range Raises $28 Million Series B Led by Cathay Innovation

MCLEAN, Va., Nov. 26, 2024 /PRNewswire/ - Range, the all-in-one AI WealthTech platform, raised $28 million in Series B funding, led by Cathay Innovation and joined by Gradient Ventures and other investors.