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

Build and lead full-stack and backend monetization features for Pinterest, from ideation and prototyping through implementation, testing, scaling, and release. Partner with product managers, designers, and engineers to develop reliable consumer-facing experiences, run A/B tests, architect scalable solutions, and contribute product ideas serving millions of users.

Build full-stack, backend, and consumer-facing monetization features for Pinterest. Lead product development from ideation and prototyping through A/B testing, technical design, implementation, and release. Collaborate with product, design, and engineering teams; develop scalable systems for millions of users; apply automated testing; maintain reliable code; and propose innovative product ideas.

Technical lead for Pinterest’s Notifications & Growth Platform organization. Defines technical strategy, multi-year roadmaps, architecture, and operating metrics for secure, reliable, scalable notification and growth systems. Leads cross-functional delivery across product, data science, design, and engineering teams, supporting push, email, in-app, orchestration, targeting, scheduling, internationalization, and global delivery. Uses AI responsibly to accelerate work while validating outputs and maintaining accountability.

Lead the strategy and execution of Pinterest’s measurement partner optimization products. Translate independent advertising measurement into insights, recommendations, activation workflows, and optimization capabilities. Own multi-quarter roadmaps, partner with engineering, data science, marketing science, sales, legal, and privacy teams, and establish product quality and success standards. Drive launches, adoption, experimentation, and continuous improvement to help advertisers increase incremental sales, return on ad spend, and long-term business value.

Lead architecture and strategic direction for Pinterest's data warehouse, analytics tools, and data governance. Drive cross-functional initiatives to build scalable data platforms, AI-assisted pipeline tooling, and analytics capabilities. Mentor engineers, define policies and tooling, and deliver measurable adoption and business impact across the company.

Conduct cutting-edge machine learning and AI research applied to Pinterest products. Interns lead projects, develop and evaluate production ML systems, work across algorithms, data engineering, infrastructure, training, inference, and product integration, and write sustainable code. They will use AI-assisted development tools, validate generated outputs for correctness and security, investigate bugs, collaborate with researchers and engineers, and communicate solutions to open-ended technical problems.

Data Science interns will use quantitative analysis, statistical modeling, data mining, experimentation, and exploratory analysis to understand user behavior, identify product opportunities, and develop actionable insights. They will design metrics, evaluate A/B tests, explore experimentation methods, analyze user and advertiser preferences, and collaborate with product, engineering, design, and research teams to influence Pinterest’s product roadmap.

Conduct machine learning and AI research applied to Pinterest problems. Build and improve large-scale production ML systems spanning algorithms, infrastructure, data engineering, training, inference, and product integration. Develop clean code, validate AI-generated outputs, use AI-assisted engineering tools, investigate bugs, and independently deliver projects while collaborating with engineering and research teams.

Data Science interns will use exploratory analysis, statistical techniques, modeling, data mining, and experimentation to understand user behavior, develop product metrics, evaluate A/B tests, and identify product opportunities. They will collaborate with product managers, engineers, designers, and researchers, translating analytical insights into product improvements and business impact while thoughtfully using and validating AI-assisted approaches.

Software engineering interns will complete scoped technical tasks, write tested and documented code, use AI-assisted engineering tools, collaborate with cross-functional teams, and contribute to real Pinterest projects. They will work with mentors while developing large-scale systems knowledge and professional communication skills.