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

Design, build, and optimize scalable data infrastructure and pipelines on AWS using Spark/Scala. Store and model data in appropriate engines and formats, implement knowledge graphs accessible via batch jobs and APIs, enforce automated data quality checks, and collaborate with Data Science and Product teams to deliver performant, cost-effective data services.

Build and harden low-latency, high-throughput ML platform infrastructure. Design storage, indexing, streaming, backpressure, failure handling, and observability. Scale decisioning, improve developer experience for data scientists, manage Kubernetes deployments, and collaborate with SRE, data infra, and engineering to ensure reliable, debuggable production systems.

Design and implement CTV advertising simulations and AI-driven tooling. Build auction, bidding, and counterfactual frameworks; develop agentic AI for strategy exploration; validate ML models offline; define simulation and AI infrastructure; mentor engineers and drive end-to-end delivery of simulation and deployment systems.

Own analytics projects end-to-end: write production Python code, design and analyze experiments to optimize CTV ad campaigns, build reporting and analytics tools, and translate insights into the Data Science product to support stakeholders and improve campaign performance.

Design, build, and scale backend services for contract lifecycle and billing systems (CPA and CPM models). Develop APIs, ensure data integrity, auditability, reliability, and performance. Partner with Product, Finance, and Data teams, lead technical design, mentor engineers, and improve observability and error handling across contract workflows.