PubMatic

Senior Performance Advertising Engineer

PubMatic$260K — $330K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience in performance advertising, programmatic bidding, or user-conversion optimization.
  • Bachelor's, Master's, or equivalent experience in a relevant analytical field.
  • Deep understanding of the OpenRTB protocol and DSP/SSP mechanics.
  • Experience with Machine Learning frameworks for CTR/CVR predictions.
  • Hands-on experience with data pipelines managing terabyte-to-petabyte scale data.

Responsibilities

  • Develop and deploy ROAS optimization algorithms and models across multiple formats.
  • Implement scalable data pipelines for complex conversion and MTA datasets.
  • Enhance performance capabilities in mobile, video, and desktop environments.
  • Audit data ingestion points for architectural issues affecting performance accuracy.
  • Write high-performance code for ultra-scaled backend processing.

Benefits

  • Paid leave programs and holidays.
  • Healthcare, dental, and vision insurance.
  • Disability and life insurance.
  • Commuter benefits and wellness programs.
  • Unlimited DTO in the US and fully stocked pantries.
Full Job Description
Role: Hybrid in Redwood City, CA, or New York, NY (Will consider Remote for the right candidate)

Must have: Experience in performance advertising, programmatic bidding, or large-scale user-conversion optimization loops

About the Role:

We are seeking a 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.

Preferred Experience:
  • 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).

We'd love for you to have:
  • 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.

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, 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 per week.

#LI-HYBRID

Compensation Disclosure

In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.

Total Compensation Range

$260,000-$330,000 USD

About PubMatic

PubMatic is a digital advertising technology company that provides a platform to publishers which includes real-time bidding (RTB), header bidding, and other monetization solutions. The company was founded in 2006 and is headquartered in Redwood City, California. PubMatic's platform enables publishers to monetize their digital content across various devices and formats, including mobile, video, and display. The company has offices in North America, Europe, and Asia-Pacific. PubMatic has received several awards for its technology and innovation, including being named a Deloitte Technology Fast 500 company in 2013 and 2014.
Learn more about PubMatic
Size
1,200 employees
Market Cap
$647.7 million
Industry
Founded
2006
Revenue
$148.7 million
NASDAQ

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