A

AppLovin

Sells AI-targeted ads inside mobile games

Business Operations Analyst

Business OperationsConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA$105.3k - $156.5kIn-person

About the Job

Requirements

  • At least two years of relevant professional experience in business operations, technical operations, analytics, software development, or a related field.
  • Demonstrate technical ability through a bachelor's degree in a field such as engineering, statistics, mathematics, computer science, or physics, or through substantial technical work, research, or projects.
  • Learn unfamiliar systems, connect information across sources, and work through ambiguous problems.
  • Take initiative, persist through difficult problems, and follow work through to completion.
  • Exercise good judgment about data quality, system changes, permissions, and operational risk; recognize which problems can be resolved independently and when additional expertise or review is needed.
  • Use AI coding and workflow tools to develop, review, and maintain substantial volumes of code; evaluate generated work, identify mistakes, and steer it toward the intended outcome.
  • Have practical experience with Python, SQL, Git, pull-request workflows, and APIs, including investigating and debugging existing code.
  • Have hands-on experience managing GCP services and workflows, including permissions, credentials, configuration, and troubleshooting.
  • Have experience applying statistical analysis and data science techniques, including selecting appropriate methods, interpreting results accurately, and explaining limitations.
  • Have experience in advertising technology, with a working understanding of areas such as campaign delivery, attribution, measurement, mediation, monetization, or the iOS and Android ecosystems.
  • Explain technical issues in business terms, document reproducible problems, and write requirements and tickets that others can act on.

Responsibilities

  • Support projects led by other BizOps analysts by clarifying requirements, reviewing technical approaches, and resolving implementation problems.
  • Debug issues in existing workflow code, integrations, and data processes; investigate root causes and implement or coordinate fixes.
  • Review BizOps pull requests, including substantial AI-generated changes, for correctness, security, maintainability, and alignment with business requirements; provide actionable feedback and verify that concerns are addressed.
  • Write and maintain Python code, SQL workflows, integrations, and automations supporting the team's work.
  • Investigate product bugs, distinguish expected behavior from defects, and gather evidence through code, logs, data, and reproducible examples.
  • Write clear tickets for Engineering and Operations that explain the problem, business impact, supporting evidence, and expected outcome; follow up on dependencies and verify resolutions.
  • Manage Google Cloud Platform services supporting BizOps workflows, including service accounts, permissions, secrets, configuration, and deployments.
  • Support Salesforce workflows and integrations, including programming against its application programming interfaces.
  • Analyze product features, experiments, and operational and advertising data; apply appropriate statistical methods, interpret results accurately, and explain limitations.
  • Investigate discrepancies across internal systems and partner platforms.
  • Prioritize competing requests and communicate findings, decisions, blockers, and next steps through concise Slack messages, tickets, and documentation.
  • Identify recurring problems and improve the tools, documentation, and practices that help the broader BizOps team work effectively.

Desired Qualifications

  • Have experience supporting internal tools, reviewing other people's code, or coordinating technical work across business, Engineering, and Operations teams.
  • Have experience with Salesforce administration, reporting, permission models, or integrations.
  • Have experience maintaining production automations, data pipelines, or shared internal applications.
  • Be familiar with least-privilege access and sensitive data handling.

About the Company

AppLovin

Sells AI-targeted ads inside mobile games

AppLovin runs an advertising platform that uses AI to place ads inside mobile apps, mostly games, for app developers and consumer brands looking for customers. In 2023, it overhauled the AI models behind its Axon ad engine, an upgrade that sharply raised advertiser spending and helped AppLovin join the S&P 500 in 2025. Advertisers set a budget and target return in AppLovin Ads Manager, and Axon predicts who will install an app or buy a product, then bids to show them video ads or playable demos. App makers sell their ad space through its MAX auction tool, and AppLovin keeps a share of what advertisers spend. The company was founded in 2012 and is based in Palo Alto, California.

Company size
501-1,000
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
2012

Recently Posted Jobs

Explore more opportunities at AppLovin

See more jobs