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

Design, build, and scale AI infrastructure, tooling, and libraries to empower data scientists and engineers. Integrate LLM gateways, agent frameworks, and structured-output systems; implement observability for ML; enable large-scale data processing and model serving. Collaborate with product, operations, and cross-functional teams to deliver AI-first features for retail and logistics.

Lead a team to build a Pipeline-as-a-Service data platform treated as an internal product. Own vision, roadmap, backend services, APIs, CLIs and SDKs, and enterprise CI/CD to enable self-serve data ingestion and improve data platform scalability and developer experience.

Lead strategy and execution for marketing, merchandising, and media tooling. Define product vision and prioritized roadmaps, partner with engineering, data science, design, and business teams, translate workflows into technical requirements, prioritize backlog by business value, and define and report KPIs to measure tool adoption, system efficiency, and downstream customer impact.

Manage lifecycle of enterprise SaaS tools (Slack, Zoom, Google Workspace, M365), drive AI adoption (Slack AI, Google Gemini), build automated release pipelines, enforce data governance and RBAC, replace redundant tooling, lead cross-functional projects, and serve as tier-3 escalation for platform reliability and automation.

Lead the multi-year vision and execution of Shipt's design platform, scaling a design system across web and mobile, partnering with Engineering, Product, and Research, defining governance, metrics, and pipelines, managing systems-design teams, and applying GenAI and front-end architecture expertise to connect platform investment to measurable business outcomes.

Lead discoverability and growth for same-day delivery by owning AEO/SEO, ASO/ASA, SEM, embeddings/vector search, and guest marketplace experience. Define metadata, indexing, deep-linking, and CRO strategies; partner cross-functionally to drive roadmaps, OKRs, and measurable organic and paid acquisition improvements.

As a Staff Machine Learning Engineer, you will design and implement AI-driven solutions, build ML infrastructure, and lead teams to deliver scalable systems for real-time recommendations.

As a Senior Software Engineer, you will enhance shopper payment systems using Golang and Python, manage backend services, and collaborate with product teams on various solutions.

Design, build, test, deploy and maintain backend cart and checkout services in a microservices architecture. Improve performance, latency, and reliability using Go/Python, Postgres, Redis, and Kafka. Collaborate with product and ops, own production services, participate in on-call rotation, and integrate third-party systems.

The Engineering Manager will lead a team to develop web frontends, mentor engineers, oversee project delivery, and collaborate across engineering teams to drive product initiatives.