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

Serve as the first dedicated product designer, improving a multi-audience software product through user research, analytics, design systems, and cross-functional collaboration. Create reusable visual and interaction standards, identify product friction, and redesign the marketing site. Combine product design expertise with hands-on TypeScript front-end development, partnering with leadership, engineering, product, and go-to-market teams in a fast-paced startup environment.

Own low-level infrastructure for a cloud compute platform, developing runtime and compute components focused on workload isolation, performance, reliability, storage, scheduling, and networking. Lead platform components from design through production, build checkpointing and recovery features, benchmark systems under realistic loads, and help shape infrastructure strategy across data centers, hardware-accelerated, and on-premises environments.

Lead the architecture, development, scaling, security, and reliability of a core data platform. Build backend services and data pipelines in Go and Python, operate graph database and search systems, manage cloud infrastructure and CI/CD, establish monitoring and reliability targets, and mentor engineers. The role also contributes to hiring and engineering standards while working on-site in San Francisco.

Build and scale full-stack SaaS features and AI-driven automation systems from database to user interface. Develop integrations with messaging, email, document signing, and billing providers; improve monitoring, evaluation, and infrastructure reliability; and collaborate directly with users and domain experts to define problems and ship solutions quickly.

Lead strategy and execution for an emerging product line, rapidly iterating with pilot customers, users, engineers, and designers. Gather user insights, simplify complex workflows, prototype with AI and design tools, and deliver polished features. Support pre-sales through roadmap presentations and customer engagement while informing reusable platform capabilities. The role requires product management experience, startup experience in vertical SaaS or AI, customer-facing technical experience, and strong user research and product ownership skills.

Build and deploy production multimodal machine learning systems for images and video, including model orchestration, evaluation, fine-tuning, edge inference, runtime optimization, and interactive audio-visual interfaces. The role involves deploying open-weight models on constrained or on-premise hardware, creating agent workflows and feedback loops, and moving prototypes into dependable field use for hardware-based products.

Build and own a hardware-connected software platform spanning wearable devices, backend services, live media streaming, data layers, and companion applications. The engineer will deliver complete user-facing features, develop scalable APIs, integrate AI or LLM capabilities, establish deployment and release processes, and shape architecture and engineering practices. This on-site role requires tracing issues across the user interface, backend, and device while operating effectively in an early-stage startup environment.

Own and optimize a production computer vision service running on embedded hardware. Re-architect real-time perception pipelines, integrate higher-performing models, deploy depth estimation for 3D tracking, and tune video and inference workloads for edge devices. Collaborate with hardware and systems engineers to improve stability, performance, and deployed perception capabilities.

Design, build, and release production C++ software for uncrewed vehicles. Develop autonomy algorithms for perception, localization, path planning, hazard avoidance, sensor fusion, and trajectory tracking. Integrate software with embedded hardware, validate vehicle behavior using simulations and field data, troubleshoot deployments, and create Python tools. Contribute to the long-term architecture of autonomy software.

Own a product area end to end by gathering customer feedback, prioritizing work, building third-party data integrations, and shipping customer-facing products. Design solutions independently, operate live data flows, and coordinate with other engineering teams. The role requires backend or integrations experience, TypeScript and Node.js expertise, customer communication, startup experience, and on-site work in San Francisco or Toronto.