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 theoptimization of our buyer-side and performance marketing systems. In this role, you will be directlyresponsible 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 (includingprivacy-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 streamingand batch data pipelines that ingest, validate, and process complex conversion and multi-touchattribution (MTA) datasets.Omnichannel Execution: Advance PubMatic’s performance capabilities across specificprogrammatic formats:- Mobile: Build robust mechanisms that thrive within SKAdNetwork, Attribution API, andAndroid Privacy Sandbox constraints.- CTV & Video: Implement precise cross-device graph integrations, household-level frequencycapping, and server-to-server attribution systems.- Desktop: Innovate alternative identity framework integrations (e.g., UID2, LiveRamp 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 campaignperformance.Scalable Systems Engineering: Write high-performance, low-latency, and memory-efficientcode (Python, Go, Java, or C++) matching our ultra-scaled backend layer that processes trillionsof monthly events. Who You Are: Education: Bachelor’s, Master’s, or equivalent practical experience in Computer Science, DataScience, 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, BigQuery).Format Versatility: Strong technical familiarity with technical specs supporting Mobile App(IDFA/GAID loss mitigations), CTV (App Transport Security, IFA standards), and Desktopenvironments. Preferred QualificationsDeep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-pathoptimization (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 bydelivering digital advertising’s supply chain of the future. By operating on an AI-first architecturedesigned to make intelligence fundamental-not additive-PubMatic enables premium publishersand programmatic buyers to optimize continuously, preserve transparency, and achieve superiormeasurable outcomes at a global scale. Processing over 300 trillion annual ad transactions acrossConnected TV (CTV), mobile app, video, and desktop, we empower the open internet through highlyautomated, efficient, and secure infrastructure Additional Information Benefits: 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..Diversity and Inclusion:PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status #LI-HYBRID 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 theoptimization of our buyer-side and performance marketing systems. In this role, you will be directlyresponsible 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 (includingprivacy-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 streamingand batch data pipelines that ingest, validate, and process complex conversion and multi-touchattribution (MTA) datasets.Omnichannel Execution: Advance PubMatic’s performance capabilities across specificprogrammatic formats:- Mobile: Build robust mechanisms that thrive within SKAdNetwork, Attribution API, andAndroid Privacy Sandbox constraints.- CTV & Video: Implement precise cross-device graph integrations, household-level frequencycapping, and server-to-server attribution systems.- Desktop: Innovate alternative identity framework integrations (e.g., UID2, LiveRamp 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 campaignperformance.Scalable Systems Engineering: Write high-performance, low-latency, and memory-efficientcode (Python, Go, Java, or C++) matching our ultra-scaled backend layer that processes trillionsof monthly events. Who You Are: Education: Bachelor’s, Master’s, or equivalent practical experience in Computer Science, DataScience, 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, BigQuery).Format Versatility: Strong technical familiarity with technical specs supporting Mobile App(IDFA/GAID loss mitigations), CTV (App Transport Security, IFA standards), and Desktopenvironments. Preferred QualificationsDeep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-pathoptimization (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 bydelivering digital advertising’s supply chain of the future. By operating on an AI-first architecturedesigned to make intelligence fundamental-not additive-PubMatic enables premium publishersand programmatic buyers to optimize continuously, preserve transparency, and achieve superiormeasurable outcomes at a global scale. Processing over 300 trillion annual ad transactions acrossConnected TV (CTV), mobile app, video, and desktop, we empower the open internet through highlyautomated, efficient, and secure infrastructure Additional Information Benefits: 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..Diversity and Inclusion:PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status #LI-HYBRID

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, * 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 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

automated, efficient, and secure infrastructure