Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Conduct research and develop mathematically rigorous algorithms for real-time auctions, dynamic pricing, bid shaping, pacing, traffic allocation, and fraud detection. Apply machine learning, reinforcement learning, online learning, game theory, forecasting, and Bayesian methods. Deploy models at massive scale, run rapid experiments, evaluate long-term system behavior, collaborate with product and engineering teams, and contribute through publications and internal research seminars.

Develop machine learning and personalization systems for real-time advertising at planetary scale. Conduct architectural research on attention-based and post-attention models, evaluate hypotheses offline and online, improve recommender and targeting systems, and transition successful research into production. Build model implementations and data pipelines, guide infrastructure investments, collaborate with engineering and product teams, and contribute to the research community through publications, talks, and conferences.

Develop and optimize large-scale machine learning models, open-source LLM infrastructure, and training and inference systems for advertising applications. Build distributed data and model pipelines, adapt DeepSpeed and OpenRLHF, optimize GPU/TPU serving for latency and cost, monitor model performance, and collaborate with applied scientists on research. The role focuses on recommender systems, personalization, targeting, reinforcement learning, and ad intelligence at massive scale.

Own and deepen advertiser relationships to maximize campaign ROI. Lead campaign analysis, performance reviews, QBRs, and strategic planning. Drive retention, revenue, and upsell opportunities while coordinating with Sales, Ad Ops, Trading, Product, and third-party partners to optimize programmatic performance and integrations.

The Director of Product Management will lead the self-serve product roadmap for Accelerate, focusing on AI capabilities, driving product-led growth metrics, and understanding advertiser needs.

Lead strategic client relationships for performance advertising, driving campaign ROI, retention, upsell, and margin targets. Conduct data-driven campaign analysis and QBRs, coordinate with sales, ad ops, product, and engineering, and manage integrations with MMPs, DSPs, and measurement partners to optimize performance.