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

Lead design and implementation of performance marketing backend systems: ad integrations, event pipelines, attribution and measurement, bidding and budget optimization, reliability for spend-critical systems, cross-team coordination, and mentoring engineers. Drive measurement methodology, privacy-resilient approaches, and use of AI to accelerate work.

Technical lead for ML systems that improve Pinterest's content ecosystem: define ML strategy, measure content health, identify and close content gaps, design multi-objective optimization and marketplace mechanisms, partner cross-functionally, mentor engineers, and raise ML engineering standards (data quality, governance, reliability, privacy). Apply advanced methods (RL, game theory, bandits) where beneficial.

Build simulation and AI systems modeling CTV auction mechanics, bidding strategies, and campaign outcomes. Develop counterfactual and what-if frameworks, AI agents, and validation tooling to de-risk ML deployments. Define technical direction and mentor engineers while shipping end-to-end simulation and AI infrastructure.

Design and build CTV advertising simulation environments and AI agents to model auctions, bidding strategies, and campaign outcomes. Develop counterfactual and what-if frameworks, use simulation to validate ML deployments, define technical direction for simulation and AI infrastructure, and mentor engineers. Drive end-to-end ownership of systems and apply modern AI tools to accelerate development while ensuring rigorous verification and data protection.

Lead cross-functional teams to define and execute high-impact ad format products that drive user action and advertiser outcomes. Evolve formats, balance stakeholder trade-offs, leverage data and AI tools, and own business metrics for a portfolio of ad experiences.

Lead end-to-end design for Measurement & Conversion products, crafting workflows, visualizations, and in-product education to help advertisers measure and optimize ad performance. Partner with PM, engineering, research, and content design; prototype AI-assisted concepts; manage stakeholders; and ensure high-quality execution and iteration across measurement and conversion features.

Lead Responsible AI projects to detect, mitigate, and evaluate bias across GenAI, foundation models, and recommender systems. Collaborate with product and platform teams, deploy fairness interventions at scale, mentor junior engineers, and define technical strategy to align models with Pinterest policies and business metrics.

Drive data-science for people- and business-facing products: establish experimentation and instrumentation best practices, apply statistical and ML methods to web-scale data, build scalable analysis pipelines, and partner cross-functionally to turn insights into product improvements.

Lead a small engineering team to define and build Pinterest's agent platform, including agent serving, evaluation, monitoring, and observability. Drive technical direction and roadmap, partner cross-functionally, hire and mentor engineers, and apply AI responsibly to accelerate execution while validating outputs and maintaining quality and data protection.

Lead architecture and delivery of the measurement platform for ads lift and brand studies. Design and operate large-scale batch and streaming data pipelines, services, and APIs; operationalize measurement methodology with Data Science; build automated validation, monitoring, anomaly detection, and continuous verification; drive AI enablement and mentor engineers while leading cross-functional initiatives to improve reliability and data quality.