Senior ROAS Optimization Engineer – Programmatic Ads

PubMatic; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare

Unlimited DTO in the US (use required)

Commuter benefits

Fully stocked pantries & in-office lun

In-office catered lunches 5 days aweek

Job summary

PubMatic in New York seeks a Senior Performance Advertising Engineer to own optimization of buyer-side and performance marketing systems. You will design, implement, and scale data pipelines for attribution data, spanning SKAdNetwork, Privacy Sandbox, Video, CTV, and Desktop environments.

You will develop RTB algorithms, pacing controls, and predictive models to maximize ROAS across all screens, while evaluating data ingestion and system bottlenecks to ensure low latency and high throughput.

Qualifications

• 5+ years of software engineering experience in performance advertising or programmatic bidding.
• Experience building and operating large-scale attribution/data pipelines.
• Strong background in real-time bidding, optimization, and ML-driven prediction.

Responsibilities

• ROAS optimization: design, benchmark, and deploy real-time bidding algorithms and predictive models.
• Attribution data pipelines: build scalable, low-latency streaming and batch pipelines for MTA datasets.
• Omnichannel execution: enhance performance across Mobile, CTV/Video, and Desktop formats.
• Data pipeline evaluation: audit ingestion points for architectural flaws, data loss, and latency.
• Scalable systems engineering: write high-performance code (Python/Go/Java/C++).

Skills

Performance advertising

Programmatic bidding

Large-scale data processing

Distributed systems

Real-time bidding

Education

Bachelor’s or Master’s in CS/Math/Stats

Tools

Apache Spark

Apache Flink

Kafka

Snowflake/BigQuery

Job description

PubMatic in New York seeks a Senior Performance Advertising Engineer to own optimization of buyer-side and performance marketing systems. You will design, implement, and scale data pipelines for attribution data, spanning SKAdNetwork, Privacy Sandbox, Video, CTV, and Desktop environments.

You will develop RTB algorithms, pacing controls, and predictive models to maximize ROAS across all screens, while evaluating data ingestion and system bottlenecks to ensure low latency and high throughput.