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 P…
Principal Software Engineer - PubMatic AgenticOS (Buy Side Bidding Platform)
Redwood City, California, United States · Hybrid
$200k–$229k/yr
Senior+$63M raised
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Skills: Golang, Real-Time Bidding, DSP, Campaign Pacing, Low-Latency Systems
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Redwood City, California, United States · Hybrid
$186k–$233k/yr
Senior+
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Manager, Software Development Engineering - Platform Experience
Redwood City, California, United States · Remote OK
$145k–$180k/yr
Senior
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Redwood City, California, United States · Remote OK
$130k–$162k/yr
Senior
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Team Lead, Staff C# Engineer - Platform Enablement
Redwood City, California, United States · Remote OK
$150k–$185k/yr
Senior
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Design and optimize buyer-side performance marketing systems and algorithms to maximize Return on Ad Spend (ROAS). Build and scale low-latency data pipelines for multi-touch attribution across mobile, CTV, and desktop environments.
Requirements
Requires 5+ years of software engineering experience in programmatic bidding or conversion optimization with expertise in large-scale data frameworks. A degree in Computer Science, Statistics, or a related quantitative field is preferred.
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
PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.
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.
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.
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.
#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
Related keywords
Ad TechProgrammatic BiddingROASRTBSKAdNetworkPrivacy SandboxMulti-Touch AttributionCTVOpenRTBDSPSSPSPOCTR PredictionCVR PredictionApache SparkApache Flink
PubMatic (NASDAQ: PUBM) is the leading AI-powered ad tech company delivering digital advertising performance.
Industry
Technology, Information and Internet
Company size
501-1,000 employees
Founded
2006
Headquarters
Redwood City, CA
LinkedIn followers
360,363
Total funding
$63M
PubMatic is the leading AI-powered ad tech company delivering digital advertising performance. Through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media networks, PubMatic delivers superior performance with greater transparency, control, and efficiency.
Since 2006, PubMatic has pioneered every major advance in programmatic advertising, from enabling the first OpenRTB transactions to embedding AI-driven optimization and privacy-focused innovation across its platform. With omnichannel scale, proven reliability, and a track record of continuous innovation, PubMatic is building a more intelligent, profitable, and sustainable open internet. Built to Connect. Powered to Perform
Offices: 305 Main Street First Floor, Redwood City, CA 94063, US · 82 Dean Street, London, England W1D 3AP, GB · 229 W 43rd St, New York, NY 10036, US · 10250 Constellation Blvd, Ste. 100, Los Angeles, California 90067, US · Axel-Springer-Platz 3, Hamburg, HA 20355, DE
How much do Engineering jobs in Redwood City, CA pay?
Based on 197 listings with disclosed salaries, most engineering jobs in Redwood City, CA pay between $117k–$250k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Redwood City, CA right now?
There are currently 253 open engineering positions in Redwood City, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Redwood City, CA?
Companies currently hiring include Revolution Medicine, Luma, Delinea, BKF Engineers, Box, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Redwood City, CA?
Yes — 145 of the 253 open engineering positions offer remote or hybrid work (29 remote, 116 hybrid).
How do I apply for Engineering jobs in Redwood City, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.