The company is looking to optimize real-time bidding strategies and maximize ROI for advertisers on the PubMatic platform.
Requirements
- Deep understanding of programmatic advertising workflows, RTB, audience targeting, and bid strategies.
- Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies.
- Strong expertise in Machine Learning, Ad-Server/Bidder architecture and Gen-AI.
Responsibilities
- Architect and develop advanced features to shape Performance DSPs, optimizing ad formats such as interstitial video, rewarded video, and display ads.
- Design PubMatic’s product offering to boost auction efficiency and align with Performance DSP workflows and expectations ensuring seamless integration, higher ROI for advertisers, and increase the DSP spend on the platform.
- Leverage machine learning and data-driven insights to enhance bid efficiency, campaign performance, and ad delivery strategies.
- Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact.
Other
- 5+ years of engineering experience at a Performance DSP.
- BS or MS degree in Computer Science or Mathematics
- Collaborate with cross-functional teams including Product, Engineering, and the CTO team to align technical solutions with Performance DSP goals.
- Hybrid work schedule (3 days “in office” and 2 days “working remotely”)
- Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule
