Drimva

Roblox

Growth Marketing Manager Lead

$216K–$257K

San Mateo, CA, United States · Manager · Full-time · Posted Jul 21, 2026

Experience
12+ years.
Visa sponsorship
For US-based roles, the company may be unable to employ candidates whose work authorization relates to certain U.S. visa categories or support future H-1B sponsorship at this time.

About the job

Leads global growth marketing programs and experimentation to increase Roblox user acquisition, engagement, retention, and monetization.

What you'll do

  • Lead growth initiatives across acquisition, reactivation, influencer, and product-led programs, including multimillion-dollar marketing investments.
  • Design experiments and measurement frameworks; partner with Data Science to evaluate incrementality, attribution, lifetime value, retention, and monetization.
  • Work cross-functionally to improve the user journey and build new growth channels, personalization, and AI-enabled workflows.

What they ask for

  • 12+ years of experience in Growth Marketing, Product Growth, Performance Marketing, or related disciplines at a high-growth consumer technology company.
  • Advanced SQL proficiency and experience working with large datasets.
  • Expertise in experimentation, incrementality measurement, attribution, cohort analysis, causal inference, LTV, retention, monetization, and unit economics.
  • Experience partnering with Product, Engineering, and Data Science; demonstrated ability to leverage AI and familiarity with responsible AI practices.

Nice to have

  • Experience scaling a global consumer marketplace, gaming or social platform, or creator ecosystem; or with personalization, recommendations, automation, or machine-learning optimization.
  • Experience managing paid media budgets of $10M+ annually.

Pay

USD 216,160–257,440 annual base salary (San Mateo headquarters roles).

Tools

SQL, Google, YouTube, Meta, TikTok, Apple Search Ads, DSPs, AI

AI focus

Use AI to improve decision-making, accelerate workflows, and increase organizational effectiveness; apply AI and personalization to improve user outcomes, with attention to quality assurance, risk mitigation, and governance.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)