PubMatic

PubMatic

Senior Performance Advertising Engineer

Redwood City, US · Senior

Sponsorship not specified$260k-$330kDetected 28 days ago
PythonJavaGoC++AndroidAlgorithmsBigQuerySnowflakeKafkaMachine LearningSparkData EngineeringData ScienceStatisticsPerformance MarketingRecruitingSystems EngineeringSignal ProcessingCollaboration

About the role

  • 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.
  • Omnichannel Execution: Advance PubMatic's performance capabilities across specific programmatic formats:
  • Desktop: Innovate alternative identity framework integrations (e.g., UID2, LiveRamp ATS) to sustain high attribution fidelity post-third-party cookies.

Responsibilities

  • 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.
  • 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.

Requirements

  • Experience in performance advertising, programmatic bidding, or large-scale user-conversion optimization loops
  • Bachelor's, Master's, or equivalent practical experience in Computer Science, Data Science, Statistics, Mathematics, Physics, or an analytically grounded quantitative field.

Nice to have

  • Deep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-path optimization (SPO).
  • Preferred Experience:

Skills

  • Experience deploying production-grade Machine Learning frameworks for CTR/CVR prediction.
  • Strong system-level performance benchmarking skills (profiling memory allocation, reducing I/O bottlenecks).

Compensation

  • In accordance with applicable law, the below salary rang e 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, skill s 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

Benefits

  • We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
  • In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
  • Education: Bachelor's, Master's, or equivalent practical experience in Computer Science, Data Science, Statistics, Mathematics, Physics, or an analytically grounded quantitative field.

Equal opportunity

  • PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it.
  • 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.
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