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. 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 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. , UID2, LiveRamp ATS) to sustain 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-efficient code (Python, Go, Java, or C++) matching our ultra-scaled backend layer that processes trillions of monthly events. We'd Love for You to Have: 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 implementing multi-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks in a production environment. , 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.

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.

Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits

: Our

package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement.