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

Design, build, and operate full‑stack and backend services to support Sales, Marketing, and Finance. Lead technical design and production deployment of GenAI/ML features, own SDLC, ensure observability and validation, partner with cross-functional teams, and mentor engineers to deliver business outcomes.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

Lead engineering initiatives for commerce platforms and AI-native experiences, improving merchant catalog quality and operational efficiency.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Technical lead for third‑party AI tool connectivity and custom MCP servers. Design secure AI integration architecture, build and operate connectors, lead incident response, automate lifecycle and monitoring, integrate with identity and security systems, mentor engineers, and drive cross‑functional onboarding and rollout of AI integration standards.

Lead the technical vision and architecture for Pinterest’s Homefeed, Search, and AI Assistant experiences. Design large-scale retrieval, ranking, personalization, and generative AI systems; unify signals, features, and models across products; establish experimentation and evaluation frameworks; and drive reliability, performance, security, and cost efficiency. Provide hands-on leadership on high-impact projects, mentor senior technical leaders, partner with product and research teams, and guide multi-year architectural transformations across the organization.

Lead product vision and roadmap for Pinterest’s applied AI/ML platform across representation learning, signals, and recommender systems. Partner with science, engineering, research, and product teams to translate technical roadmaps into scalable product bets, drive platform adoption, define success metrics, evaluate modeling tradeoffs, and manage governance, lifecycle, infrastructure costs, and technical debt.

Oversee Pinterest’s technology infrastructure finances, primarily AWS spending, through forecasting, budgeting, variance analysis, financial modeling, cost allocation, vendor management, and strategic decision support. Partner with Engineering, Infrastructure, and Technical Program Management teams to optimize infrastructure investments, predict resource capacity, identify risks and opportunities, improve reporting processes, and apply AI tools to financial analysis while validating recommendations.