Senior Performance Advertising Engineer

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.

Do you have experience in Software engineering?, Do you have a Master’s degree?, 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.

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance
• Cell phone reimbursement
• Commuter assistance, 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