Senior Performance Advertising Engineer
AI summary of the role
Senior Performance Advertising Engineer owning ROAS optimization and attribution data pipelines across omnichannel programmatic environments (Mobile, CTV, Video, Desktop).
What you’ll do
- Develop, benchmark, and deploy real-time bidding (RTB) algorithms, pacing controls, and predictive models to maximize ROAS and conversion tracking across CTV, Mobile App, Video, and Desktop.
- Design, evaluate, and implement scalable, low-latency streaming and batch data pipelines for conversion and multi-touch attribution (MTA) datasets.
- Advance performance capabilities across Mobile (SKAdNetwork, Android Privacy Sandbox), CTV/Video (cross-device graphs, household-level frequency capping, server-to-server attribution), and Desktop (UID2, LiveRamp ATS).
- Audit data ingestion points for architectural flaws, data loss, or systemic latencies affecting attribution accuracy.
What you’ll bring
- 5+ years of software engineering experience in performance advertising, programmatic bidding, or large-scale user-conversion optimization loops.
- Proven track record implementing multi-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks in production.
- Hands-on experience with distributed frameworks (Apache Spark, Apache Flink, Kafka) and cloud data warehouses (Snowflake, BigQuery) at terabyte-to-petabyte scale.
- Strong technical familiarity with Mobile App (IDFA/GAID loss mitigations), CTV (ATS, IFA standards), and Desktop environments.
Technologies
RTB · SKAdNetwork · Privacy Sandbox · UID2 · LiveRamp ATS · Apache Spark · Apache Flink · Kafka · Snowflake · BigQuery · Python · Go
Source and classification
Production engineering · Evidence for this classification:
Location: Remote OR Hybrid (Redwood City or NYC) About the Role: We are seeking a results-oriented Senior Performance Advertising Engineer to own and drive the optimization of our buyer-side and performance marketing systems. In this role, you will be directly responsible for designing algorithms, building data systems, and refining optimization loops that drive Return on Ad Spend (ROAS) for our Advertisers and Agencies. You will own the technical architecture and end-to-end evaluation, implementation, and scaling of robust data pipelines for attribution data. This position spans our complete omnichannel environment, requiring expert-level performance engine development across Mobile App (including privacy-aware frameworks like SKAdNetwork and Privacy Sandbox), Video, Connected TV (CTV), and Desktop environments. What You'll Do: ROAS Optimization & Algorithmic Design:
More from the job description
Location: Remote OR Hybrid (Redwood City or NYC) About the Role: We are seeking a results-oriented Senior Performance Advertising Engineer to own and drive the optimization of our buyer-side and performance marketing systems. In this role, you will be directly responsible for designing algorithms, building data systems, and refining optimization loops that drive Return on Ad Spend (ROAS) for our Advertisers and Agencies. You will own the technical architecture and end-to-end evaluation, implementation, and scaling of robust data pipelines for attribution data. This position spans our complete omnichannel environment, requiring expert-level performance engine development across Mobile App (including privacy-aware frameworks like SKAdNetwork and Privacy Sandbox), Video, Connected TV (CTV), and Desktop environments. What You'll Do: ROAS Optimization & Algorithmic Design: Develop, benchmark, and deploy real-time bidding (RTB) algorithms, pacing controls, and predictive models aimed squarely at maximizing ROAS and conversion tracking across all screens (CTV, Mobile App, Video, and Desktop). Attribution Data Pipelines: Design, evaluate, and implement scalable, low-latency streaming and batch data pipelines that ingest, validate, and process complex conversion and multi-touch attribution (MTA) datasets. Omnichannel Execution: Advance PubMatic’s performance capabilit [... source excerpt omitted ...] Domain Expertise: Demonstrated track record of evaluating and implementing multi-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks in a production environment. Data Engineering & Scale: Hands-on experience engineering pipelines handling terabyte-to- petabyte scale data via distributed frameworks such as Apache Spark, Apache Flink, Kafka, and cloud data warehouses (e.g., Snowflake, BigQuery). Format Versatility: Strong technical familiarity with technical specs supporting Mobile App (IDFA/GAID loss mitigations), CTV (App Transport Security, IFA standards), and Desktop environments. Preferred Qualifications Deep understanding of the [... source excerpt omitted ...] trong system-level performance benchmarking skills (profiling memory allocation, reducing I/O bottlenecks. Pubmatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising’s supply chain of the future. By operating on an AI-first architecture designed to make intelligence fundamental—not additive—PubMatic enables premium publishers and programmatic buyers to optimize continuously, preserve transparency, and achieve superior measurable outcomes at a global scale. Processing over 300 trillion annual ad transactions across Connected TV (CTV), mobile app, video, and desktop, we empower the open internet through highly aut
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