The Bidding Analytics and Metrics (BAM) team's charter is to own and enhance critical data architecture, pipelines, and reporting services, including supply-side and demand-side analytics. We develop and maintain experimentation and recommendation systems, providing actionable insights to advertisers and internal stakeholders for understanding performance and driving optimizations.

You'll collaborate with business leaders and data teams to design and implement high-performance data pipelines powering intuitive dashboards and reporting tools, and integrate advanced analytics or AI-driven workflows that enable data-informed decision-making across the ads tech organization.

In this role, you will design and implement near real-time data processing systems to handle massive advertising data volumes (terabytes daily) with a focus on accuracy and scalability. You will own full-stack delivery from requirements to deployment of distributed systems managing critical metrics like campaign performance, bidding funnels, and supply health.

Drive architecture decisions for data pipelines and transformation services while fostering code quality through reviews and mentorship, and collaborate cross-functionally to solve complex technical challenges.

We are seeking a software engineer who is user-obsessed and precision-driven—someone who can systematically unravel complex technical challenges and architect scalable, reliable data processing solutions. You should thrive at leading mission-critical engineering initiatives for an analytics platform, balancing competing priorities across product, data, and business teams, and excelling in a fast-paced, high-impact environment where data integrity and system performance drive strategic outcomes.

You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.