AppLovin

AppLovin

Associate Product Manager

Palo Alto, CA

Sponsorship not specified$111k-$167kDetected 21 hours ago
PythonSQLStatisticsA/B TestingProduct StrategyBusiness DevelopmentLeadershipProblem Solving

About the role

  • This role sits at the intersection of product strategy, analytics, and engineering with ownership across our entire ads portfolio from day one.
  • You won't be siloed into a single feature
  • You'll operate with significant autonomy in a fast-paced environment, working directly with leadership to shape product direction across AppLovin's advertising ecosystem.

Responsibilities

  • We're seeking an Associate Product Manager to drive high-impact initiatives across our Ads organization.
  • you'll drive initiatives that touch Ads Manager, creative workflows, mobile app install, ecommerce, CTV, measurement, and strategic partnerships.
  • Own advertiser pilot programs by identifying early adopters, coordinating feedback across Product, Engineering, Design, and Client Strategy teams, and measuring uplift in key KPIs like usage and adoption.
  • Build analyses using SQL to understand advertiser behavior, product usage, campaign performance, and revenue impact.
  • Identify product gaps and growth opportunities, develop product recommendations, and influence roadmap decisions through quantitative data, customer feedback, and market insights.
  • Partner with Engineering, Product Design, Business Development, and Growth teams to drive initiatives from concept through launch including ideation, scoping, prototyping, QA testing, gathering client feedback, and post-launch measurement.
  • Monitor key business metrics, investigate performance trends, and develop recommendations that influence product strategy.
  • Drive measurable improvements in advertiser adoption, engagement, and product usage.
  • You won't be siloed into a single feature; you'll drive initiatives that touch Ads Manager, creative workflows, mobile app install, ecommerce, CTV, measurement, and strategic partnerships.
  • To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates.

Requirements

  • Bachelor's degree or higher in Engineering, Computer Science, Economics, Finance, Statistics, Mathematics, Business Analytics, or a related quantitative field.
  • 2-4 years of post-graduation experience in product, business operations and analytics, management consulting, investment banking, or investing.
  • Strong track record of driving measurable business impact through data-driven decision making.

Nice to have

  • Strong SQL skills and proficiency in at least one scripting language (Python strongly preferred).

Skills

  • About AppLovin
  • The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences.
  • Help advertisers achieve stronger outcomes through improved workflows, tools, and measurement capabilities.
  • Highly analytical with excellent problem-solving skills and business judgment.

Compensation

  • 10 paid holidays per year
  • 80 hours per year
  • CA Base Pay Range
  • $111,000 - $167,000 USD
  • Paid Holidays: 10 paid holidays per year

Benefits

  • 401(k) Retirement Plan
  • Paid Time Off: Unlimited Discretionary Time Off
  • Paid Sick Leave: 80 hours per year

Company info

  • To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world.
  • At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Equal opportunity

  • AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity.
  • Learn more about EEO rights as an applicant here.
  • equal opportunity employer that is committed to inclusion and diversity.

This listing is sourced directly from AppLovin's careers page and normalized into a canonical job model.