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

Partners with senior executives to understand business challenges, analyzes and validates client data using SQL, and develops practical recommendations. Collaborates with product and engineering teams to create scalable solutions and influence the product roadmap. Owns client workstreams, chairs steering committee meetings, and translates complex data and feedback into clear strategies. Requires approximately 25% travel and hybrid work in San Francisco.

Build and deliver full-stack features for a customer-facing software platform, including interfaces, backend services, dashboards, analytics, integrations, APIs, and deployment workflows. Own projects from architecture through production, support user onboarding and troubleshooting, and collaborate with founders and cross-functional teams to improve the product. The role requires strong React and TypeScript skills, Python or Node.js, AWS, and distributed-systems expertise.

Founding Full Stack Engineer responsible for building customer-facing features across the frontend, backend, and infrastructure. The role includes developing production AI and LLM capabilities, adaptive interfaces, evaluation pipelines, low-latency systems, and safe deployment workflows. Responsibilities also include diagnosing production issues, writing migrations and tests, debugging customer problems, and establishing engineering practices in a growing startup.

Own the application layer of a software platform across backend services, interfaces, tooling, monitoring, access controls, and dashboards. Build scalable APIs and developer tools, make architecture and product decisions, incorporate early-user feedback, and deliver features from concept through release. Support infrastructure growth as usage increases while exercising strong product judgment and end-to-end ownership.

Deploy AI-powered software for customers from initial scoping through production launch. Build and refine AI agents using prompt engineering, model integration, and rapid prototyping. Serve as the primary technical contact for senior client stakeholders, integrate products with existing systems through APIs, develop customer-focused features, collaborate with platform engineers, and document deployment best practices.

Design and build AI agents, customer-facing applications, and the infrastructure that runs them. Own core systems from architecture through production, make foundational technical decisions, and establish engineering practices for a growing team. The role requires full-stack TypeScript development, LLM application experience, infrastructure expertise, and independent execution in an early-stage startup environment.

Build and secure cloud and data infrastructure for an enterprise software platform handling sensitive information. Responsibilities include scalable data systems, ingestion pipelines, private deployments, monitoring, permissions, audit logging, machine learning infrastructure, CI/CD workflows, and infrastructure as code across multiple cloud providers. The role requires strong cloud and Kubernetes expertise, security and governance awareness, observability experience, and comfort working in an early-stage startup.

Own multiple customer implementations from post-sale planning through go-live, serving as the primary contact for senior stakeholders. Design architectures, data models, and workflows; configure software; translate customer needs into engineering requirements; and maintain execution plans. Support sales on late-stage opportunities by defining scope and identifying expansion opportunities. The role requires strong communication, technical aptitude, startup experience, and comfort working with technical and non-technical customers.

Lead daily delivery of client projects, manage contractors and stakeholders, oversee quality, and coordinate with engineers on product features and roadmap decisions. Build scalable operational processes, documentation, and quality controls for rapid project cycles. Contribute to pricing, revenue modeling, financial planning, and project economics while maintaining customer relationships and ensuring high-quality deliverables.

Build and ship full-stack platform features spanning user interfaces, APIs, backend services, data ingestion pipelines, and unified data layers. Collaborate directly with customers to rapidly deliver solutions, while owning security, privacy, reliability, and quality. Develop evaluation sets for LLM-based features and help take AI capabilities into production within an early-stage engineering team.