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

Design and implement Pinner-facing iOS features, lead product development from ideation to release, prototype and run A/B tests, architect scalable solutions, collaborate with design/product/backend teams, write reliable maintainable code with automated testing, and responsibly leverage AI to accelerate work and synthesize information.

Lead a global team managing end-to-end order fulfillment and Quote-to-Cash operations. Drive process automation (AI/ML), SLA-driven case management, policy and data integrity, reporting, change management, and revenue recognition readiness while partnering with cross-functional stakeholders to scale operations and support growth.

Lead and evolve Pinterest's design systems and component libraries; partner cross-functionally to drive adoption; prototype and technologize solutions; audit quality and accessibility; mentor designers; communicate design vision to stakeholders and executives.

Build and harden low-latency, high-throughput ML training and serving infrastructure. Design storage, indexing, streaming, backpressure, and failure handling. Improve developer experience, observability, deployments, and reliability for realtime ML and measurement systems.

Lead product strategy and roadmap for planning, forecasting, modeling, and analytics enablement for finance and business operations. Partner with Finance, Data Science, Analytics, IT, and Engineering to improve workflows, decision quality, and operational efficiency. Build systems and AI-driven features to accelerate decision-making, scenario analysis, exception detection, and insight generation while ensuring validation, controls, and human accountability.

Lead end-to-end delivery of complex Ads Performance programs, turning ambiguous problems into roadmaps, aligning cross-functional teams, driving technical trade-offs, scaling ads delivery and modeling capabilities, and using GenAI to accelerate program artifacts, processes, and decision-making while ensuring governance and measurement.

Design and scale observability infrastructure (metrics, logs, traces), build high-performance data pipelines and storage, define product roadmap for observability, establish standards and instrumentation patterns, mentor engineers, lead architecture and cross-functional collaboration, and evaluate/adopt new observability tools and ML-driven anomaly detection.

Lead cross-functional quantitative projects to optimize Pinterests engagement ecosystem. Build and productionize ML, forecasting, recommendation, and causal inference frameworks; design experiments and metrics linking engagement to monetization and retention; mentor data scientists; and apply generative AI and AI-assisted tools to accelerate analysis and decision-making while ensuring responsible, rigorous use of AI.

Design and implement scalable data infrastructure in AWS using Spark and Scala. Evolve core data pipelines, store data in optimal engines/formats, build knowledge graphs and APIs, optimize AWS resources, implement automated data quality checks, and collaborate with Data Science and Product teams to deliver reliable, large-scale data services.

Lead product vision and execution for tvSci's CTV creative tooling across asset ingestion, generation, variant production, and creative-aware optimization. Build tools to turn brand assets into TV commercials, integrate creative signal into prediction models, partner with commercial teams for adoption, use generative AI for prototyping, and represent tvSci externally on AI-driven creative technology.