• You will be a core contributor to the architecture, design, and operation of our high-scale, distributed Ads Platform
• This role focuses on building resilient, modular backend frameworks and systems that not only power fundamental ad serving logic but also tightly integrate with advanced machine learning models to drive advertiser outcomes
• You'll ensure our systems are highly available, performant, and maintainable as the platform rapidly evolves
• Architect and operate high-throughput backend services that manage core ad decisioning logic, including targeting, frequency management, pacing, and policy enforcement across the ads ecosystem
• Design and build real-time decisioning infrastructure that interfaces with and serves machine learning models for ranking, scoring, and optimization, while meeting strict latency and throughput constraints
• Design APIs and data models that enable seamless interoperability across the Ads Platform, simplifying the integration of new products and features
• Partner closely with ML, Data Science, and Experimentation teams to integrate complex models into production systems and ensure consistency in ad selection and delivery
• Drive operational excellence by enhancing system reliability, observability, and deployment automation to uphold high availability and fault tolerance for large-scale decisioning systems
• Develop and maintain comprehensive diagnostics, logging, and telemetry frameworks that provide deep visibility into system performance, model health, and campaign outcomes

Stay at the forefront of ad-tech and ML-serving innovation by evaluating and incorporating advances in serving architectures, online learning systems, and real-time optimization frameworks

• 7+ years of experience, 4+ years of experience in the Ads domain
• Experience building and operating highly-available distributed systems and backend services at large scale
• Experience building ad servers, SSPs, or DSPs
• Experience building components for pacing, ranking, scoring, and podding
• Strong understanding of advertising concepts: publisher policies, frequency caps, and targeting
• Strong communication and collaboration skills for effective work with internal and external stakeholders
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
• Experience working in the CTV space and knowledge of its unique constraints
• Familiarity with handling data at extremely large volumes

Familiarity with building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems

• Our compensation structure consists solely of an annual salary; we do not have bonuses
• You choose each year how much of your compensation you want in salary versus stock options
• To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range
• The range for this role is $170,000 - $720,000

Company provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits

• We also offer paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off

Full-time salaried employees are immediately entitled to flexible time off