Associate Product Manager
$111,000–$167,000 year
On-site · Palo Alto, California, United States
Job Summary
Associate Product Manager for AppLovin’s Ads organization. Drive cross-functional initiatives across product strategy, analytics, and engineering with ownership across the ads portfolio from day one. Design and launch advertiser experiences, pilot programs, and new ad formats; analyze performance through KPIs and A/B tests; build analyses using SQL to understand advertiser behavior and revenue impact; identify product gaps and growth opportunities; scope and launch integrations with third-party measurement, attribution, and ecommerce platforms; partner with Engineering, Design, Business Development, and Growth teams from concept through launch and post-launch measurement. Qualifications include a Bachelor’s degree or higher in a quantitative field and 2–4 years of post-graduation experience, strong SQL and Python skills, ability to scope ambiguous problems, and a proven track record of data-driven impact. Location: Palo Alto, CA (on-site).
Required Qualifications
- 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 SQL skills and proficiency in Python
- Demonstrated ability to independently scope ambiguous problems, design analyses, synthesize findings, and present recommendations
- Strong track record of driving measurable business impact through data-driven decision making
- Highly analytical with excellent problem-solving skills and business judgment
- Comfortable operating in a fast-paced environment with significant ownership and autonomy
- Strong communicator who can influence both technical and non-technical stakeholders
- Naturally curious, proactive, and motivated by solving complex business problems
Desired Qualifications
- 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 SQL skills and proficiency in Python
- Demonstrated ability to independently scope ambiguous problems, design analyses, synthesize findings, and present recommendations
- Strong track record of driving measurable business impact through data-driven decision making
- Highly analytical with excellent problem-solving skills and business judgment
- Comfortable operating in a fast-paced environment with significant ownership and autonomy
- Strong communicator who can influence both technical and non-technical stakeholders
- Naturally curious, proactive, and motivated by solving complex business problems
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