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

Build reinforcement learning environments from proprietary datasets, develop and deploy production AI agents, and help define technical strategy. Serve as the first engineering hire, collaborate with leadership, and eventually lead the growing engineering team. The role requires strong reinforcement learning expertise, production AI agent experience, AI-assisted coding proficiency, and willingness to work full-time on-site in the Bay Area.

Build and operate production AI systems that transform written briefs into interactive web assets and personalized multimedia content. Responsibilities include agent orchestration, model selection, automated quality evaluation, generative video pipelines, recommendation and ranking integration, performance feedback loops, backend infrastructure, reliability tooling, and technical architecture. The role requires taking language-model and autonomous-agent systems from development through dependable production deployment at scale.

Build and own software across data, server, and user interface layers. Develop and validate production AI-powered agents, improve core product areas such as onboarding, support customers directly, troubleshoot issues, and help establish team planning and delivery practices.

Build and maintain latency-sensitive backend services for risk management, transaction processing, settlement, and financial operations. Design state machines, ensure consistency across asynchronous processes, ingest live data feeds, coordinate time-sensitive workflows, and develop high-performance REST and WebSocket APIs. The role requires production Rust experience, database versatility, asynchronous programming, startup experience, and an interest in trading or financial markets.

Own the full lifecycle of AI-driven products from problem definition through launch and refinement. Set product strategy, roadmaps, metrics, and operational processes while partnering with engineering, design, operations, and customers. Prototype AI capabilities, design human-review workflows, evaluate product accuracy and value, and use quantitative and qualitative feedback to guide iteration. The role requires hands-on product leadership in a fast-moving startup environment with significant operational complexity.

Conduct self-directed experiments to improve multimodal AI accuracy, including model fine-tuning, distillation, retrieval, context design, and computer vision evaluations. Build internal experimentation tools, review results, set research priorities, and engage regularly with users. The role combines rapid software engineering with rigorous machine learning experimentation and requires working onsite in San Francisco five days per week.

Lead brand, content, demand generation, SEO, growth campaigns, inbound pipeline development, product marketing, launches, and sales enablement as the company’s first dedicated marketing hire. The role requires building marketing programs from scratch, measuring campaign performance, creating technical content, developing positioning, running unconventional campaigns, and forming industry partnerships.

Own backend-heavy software engineering for a data-driven platform while delivering user-facing features. Build backend services, refine data models, manage third-party integrations, and support authentication, webhooks, synchronization, throttling, retries, monitoring, and production issues. Drive features from planning through release and iteration, collaborate with customers, troubleshoot environments, and turn one-off requests into reusable product capabilities.

Build automated revenue systems spanning lead generation, data enrichment, CRM structure, account scoring, SEO, GEO, and outbound tooling. Own the commercial data layer, connect sales and marketing systems, measure pipeline performance, and identify funnel bottlenecks. The role partners with leadership and commercial teams to create scalable, AI-powered workflows and internal tools. It requires hands-on coding and API experience, technical SEO and GEO expertise, and comfort working onsite five days per week.

Build and deploy reusable software solutions directly in enterprise client environments. Manage technical relationships, identify automation opportunities, lead rollouts from discovery through launch, translate ambiguous business needs into technical plans, and communicate field insights to core engineering. The role requires production full-stack development, client collaboration, analytical problem-solving, and occasional international travel. It is based onsite in San Francisco five days per week.