PubMatic

SSP for publishers, optimizes ad revenue

Senior Performance Advertising Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

At least 5 years of software engineering experience focused on performance advertising, programmatic bidding, or large-scale user-conversion optimization loops.
Demonstrated experience evaluating and implementing multi-touch attribution, last-touch attribution, or incrementality testing frameworks in a production environment.
Hands-on experience engineering terabyte- to petabyte-scale data pipelines using distributed frameworks such as Apache Spark, Apache Flink, and Kafka, and cloud data warehouses such as Snowflake or BigQuery.
Strong technical familiarity with specifications supporting Mobile App (including IDFA and GAID loss mitigations), CTV (including App Transport Security and IFA standards), and Desktop environments.
Deep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-path optimization.
Experience deploying production-grade machine learning frameworks for CTR/CVR prediction.
Strong system-level performance benchmarking skills, including profiling memory allocation and reducing I/O bottlenecks.
A bachelor's degree in engineering or an equivalent degree from a well-known institute or university.

Responsibilities

Own and drive the optimization of buyer-side and performance marketing systems.
Design algorithms, build data systems, and refine optimization loops that improve Return on Ad Spend for advertisers and agencies.
Own the technical architecture and end-to-end evaluation, implementation, and scaling of robust attribution data pipelines.
Develop, benchmark, and deploy real-time bidding algorithms, pacing controls, and predictive models to maximize Return on Ad Spend and conversion tracking across CTV, Mobile App, Video, and Desktop.
Design, evaluate, and implement scalable, low-latency streaming and batch data pipelines to ingest, validate, and process conversion and multi-touch attribution datasets.
Advance performance capabilities across programmatic formats.
Build mobile mechanisms that operate within SKAdNetwork, Attribution API, and Android Privacy Sandbox constraints.
Implement cross-device graph integrations, household-level frequency capping, and server-to-server attribution systems for CTV and Video.
Integrate alternative identity frameworks, including UID2 and LiveRamp ATS, to sustain attribution fidelity after third-party cookies.
Audit data ingestion points for architectural flaws, data loss, and systemic latency affecting attribution accuracy or campaign performance.
Write high-performance, low-latency, memory-efficient code in Python, Go, Java, or C++ for a backend processing trillions of monthly events.

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.

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.
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.
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 benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!.

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

About PubMatic

PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.

Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Company

PubMatic

SSP for publishers, optimizes ad revenue

PubMatic provides a digital advertising platform that helps publishers boost revenue from websites and apps through a Supply-Side Platform (SSP). The SSP lists ad space, connects publishers with advertisers, and uses real-time bidding to award impressions to the highest bidder. The company earns a commission on successful ad placements and offers analytics, audience targeting, identity solutions, and support for video and CTV ads. Its goal is to help publishers maximize ad revenue by efficiently monetizing inventory and improving reach.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Redwood City, CA
Founded: 2006

Recently Posted Jobs

Explore more opportunities at PubMatic

See more jobs