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 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, 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.
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 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 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.
Additional InformationBenefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days a week.
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