Senior Advertising Engineer

Position: Senior Performance Advertising Engineer
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 thatdrive Return on Ad Spend (ROAS) for our Advertisers and Agencies.

You will own the technical architecture and end-to-end evaluation, implementation, and scaling ofrobust data pipelines for attribution data. This position spans our complete omnichannelenvironment, 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 ROASand 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 Pub Matic’s performance capabilities across specific programmatic formats:

- Mobile:
Build robust mechanisms that thrive within SKAdNetwork, Attribution API, and Android Privacy Sandbox constraints.

- CTV & Video:
Implement precise cross-device graph integrations, household-level frequency capping, and server-to-server attribution systems.

- Desktop:
Innovate alternative identity framework integrations (e.g., UID2, Live Ramp ATS) tosustain high attribution fidelity post-third-party cookies.

Data Pipeline Evaluation:
Constantly audit existing data ingestion points for architectural flaws,data loss, or systemic latencies that negatively skew attribution accuracy and campaign performance.

Scalable Systems Engineering:
Write high-performance, low-latency, and memory-efficientcode (Python, Go, Java, or C++) matching our ultra-scaled backend layer that processes trillions of monthly events.

Who You Are:

Education:

Bachelor’s, Master’s, or equivalent practical experience in Computer Science, Data Science, Statistics, Mathematics, Physics, or an analytically grounded quantitative field.

Experience:

5+ years of software engineering experience focusing on performance advertising,programmatic bidding, or large-scale user-conversion optimization loops.
• Attribution Domain Expertise:
Demonstrated track record of evaluating and implementingmulti-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks ina 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, andcloud data warehouses (e.g., Snowflake, Big Query).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 OpenRTB protocol, DSP/SSP mechanics, and supply-path optimization (SPO).Experience deploying production-grade Machine Learning frameworks for CTR/CVR prediction.

Strong 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…