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

Define and lead Sponsored AR product strategy across priority advertiser verticals. Partner with engineering, design, data science, sales, and marketing to build, launch, and iterate AR advertising products. Translate market and customer insights into roadmaps, business cases, and success metrics; prioritize opportunities, run experiments, and influence executives to drive adoption and revenue.

Lead product-focused quantitative analysis and machine learning projects to deliver actionable insights, metrics, and optimizations. Collaborate with product, engineering, and design teams to build scalable, statistically rigorous solutions, dashboards, and experiments. Use AI tools and high-velocity workflows to accelerate decision-making while ensuring methodological integrity and data quality.

Lead cross-functional collaboration to develop sales strategies for Snap's products, execute global go-to-market strategies, and coach peers in product marketing excellence.

In this role, you will lead Snap's Lead Generation vertical, driving product strategy, execution, and growth while collaborating with various teams to enhance advertiser experience and product performance.

The Staff Product Manager will lead the strategy and execution for Snap's advertiser recommendations platform, enhancing advertiser engagement and growth through data-driven insights and collaboration across teams.

Lead Snap's strategic audience, identity, and signals ad partnerships end-to-end: vetting, POC testing, contract negotiation, integration, and scaled go-to-market. Build C-level relationships, resolve technical and operational issues, influence cross-functional teams, and drive OKRs for advertiser and revenue growth and adoption of ad technology.

Lead strategic ad partner relationships across mobile measurement partners, data clean rooms, and cloud partners. Drive partner strategy, integrations, onboarding, roadmap, and adoption; coordinate cross-functionally to resolve technical and business issues and scale measurement products to meet OKRs.

Design, train, evaluate, and deploy machine learning models for core Snapchat products. Perform data analysis, model training, and production deployment. Collaborate with cross-functional partners to implement ML-driven features, use AI tools and scalable engineering workflows, and maintain high standards for code correctness, security, and production readiness.

Manage and grow a book of small and medium business accounts on Snapchat by identifying opportunities, delivering strategic sales presentations, educating clients on products, analyzing campaign performance, and collaborating cross-functionally to drive revenue and long-term client relationships.

Lead vision and roadmap for large-scale recommender systems across Spotlight, Discover, and Friend Stories. Technically lead engineering teams, design next‑generation recommender and retrieval architectures, incorporate SOTA research and foundation models, advance ML infrastructure for scalability and reliability, and partner cross-functionally to drive experimentation, operational excellence, and cost-effective production deployments.