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

Architect and build backend infrastructure for an AI-driven enterprise email platform. Design scalable distributed systems ingesting millions of messages/day, implement secure, compliance-ready and on-prem-capable systems, and serve as a hands-on senior engineer driving a zero-to-one product build.

Partner with SMB and Mid-Market AI/ML teams to drive adoption, run onboarding workshops, demo product capabilities, identify expansion opportunities, own renewals and upsells, and coordinate with Solutions and Application Engineering to deliver technical implementations and business value.

Own end-to-end enterprise sales for AI-powered robotics in food production: outbound discovery, demos, proposals, multi-stakeholder negotiations, and closing six-figure to seven-figure contracts while shaping the enterprise sales motion and ICP for a rapidly scaling startup.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

Design and build immersive, interactive sandbox environments in Unity. Implement dynamic camera, animation, and large-scale addressable asset systems. Integrate Unity with AI agents for navigation and dialogue. Develop and optimize WebGL and iOS deployments. Collaborate closely with a small founding team to shape technical foundation and roadmap.

Design, build, and deploy full-stack infrastructure and orchestration for autonomous AI growth agents. Own backend systems, event-driven workflows, data pipelines, front-end interfaces, and generative features from 0→1. Collaborate with founders to shape architecture and ship Hypesonic products that scale AI-driven marketing and invention workflows.

Lead operational excellence in the Global Purchasing and Supply Chain organization by documenting processes, driving automation, and ensuring SOX compliance while fostering cross-functional collaboration and leveraging advanced data analytics.

Design, implement, and evaluate RL training environments and reward signals; train and profile LLM post-training workflows; architect and scale distributed RL training infrastructure; optimize end-to-end experiment throughput and close the loop between environment design and model capability.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Founding GTM hire who will design and build the go-to-market motion with the CEO: positioning, pipeline, pricing, expansion playbook, and scaling. Heavy emphasis on outbound prospecting, showing prospects new AI capabilities, and hands-on execution. Coding ability and familiarity with prospecting/CRM tools required.