Business Operations Analyst (AI/Python)

Location: Palo Alto, CA, United States

Salary: $105,300–$156,465 USD per year

Company

Provides end-to-end advertising technologies that help businesses reach, monetize, and grow global audiences.

What you will do

• Support projects led by Business Operations analysts by clarifying requirements, reviewing technical approaches, and resolving implementation problems.
• Debug workflow code, integrations, data processes, and product issues; investigate root causes and implement or coordinate fixes.
• Review pull requests, including substantial AI-generated changes, for correctness, security, maintainability, and alignment with business requirements.
• Write and maintain Python code, SQL workflows, integrations, automations, and APIs supporting business operations.
• Manage GCP services, including service accounts, permissions, secrets, configuration, and deployments, and support Salesforce workflows and integrations.
• Analyze product features, experiments, operational and advertising data, system discrepancies, and partner-platform issues; communicate findings and follow requests through resolution.

Requirements

• At least two years of relevant professional experience in business operations, technical operations, analytics, software development, or a related field.
• A bachelor’s degree in engineering, statistics, mathematics, computer science, or physics, or substantial technical work, research, or projects.
• Strong problem-solving skills, ownership, initiative, persistence, and the ability to learn unfamiliar systems and resolve ambiguous problems.
• Good judgment regarding data quality, system changes, permissions, and operational risk.
• Effective use of AI coding and workflow tools to develop, review, and maintain substantial volumes of code.
• Practical experience with Python, SQL, Git, pull-request workflows, and APIs, including investigating and debugging existing code.
• Hands-on experience managing GCP services and workflows, including permissions, credentials, configuration, and troubleshooting.
• Experience applying statistical analysis and data science techniques, including selecting methods, interpreting results, and explaining limitations.
• Experience in advertising technology, including areas such as campaign delivery, attribution, measurement, mediation, monetization, or the iOS and Android ecosystems; clear, concise written communication is also required.

Nice to have

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

Culture & Benefits

• Inclusive and diverse workplace with emphasis on supporting colleagues and representing diverse backgrounds and perspectives.
• Competitive total compensation with performance-based rewards; equity and other incentive compensation may be included depending on the position.
• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan, unlimited discretionary time off, 10 paid holidays per year, and 80 hours of paid sick leave.

Hiring process

• Apply online; the application window is expected to close within 30 days of the posting date.
• Technology-assisted tools, including AI, may support candidate identification and evaluation, while final hiring decisions are made by human reviewers.