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

Owns pipeline generation across outbound, inbound, events, and account-based programs while leading five business development representatives. Responsibilities include forecasting pipeline, managing budgets and vendors, improving prospect conversion, reporting on CRM data, and building production software, data infrastructure, and AI agents for prospect ranking, sales automation, research, outreach, and handoffs.

Lead integration of autonomous hardware and software onto production work vehicles, from early prototypes through dependable field deployment. Responsibilities include vehicle platform bring-up, device setup, calibration, performance tuning, diagnostics, validation criteria, release gates, and collaboration with engineering, field operations, and safety teams. The role supports industrial-site deployments and production readiness across multiple countries.

Lead multiple end-to-end software rollouts for business clients, coordinating customer kickoffs, timelines, integrations, stakeholders, defects, change requests, and post-launch stabilization. Build repeatable implementation processes and playbooks from the ground up, partner with product and account teams, manage escalations, and guide customers using self-service deployment tools. The role is on-site in San Francisco five days per week and requires 10–20% monthly travel to client locations.

Support developers integrating and operating a platform in production. Investigate technical issues, write sample code and technical guides, improve developer support workflows, communicate feedback to engineering, and own the overall developer experience. The role requires independent software development, API integration troubleshooting, technical communication, and experience building developer support systems.

Own the full sales journey for high-value technology accounts, including prospecting, executive relationship development, discovery, pilots, closing, and expansion. Build quantitative financial cases demonstrating revenue impact and ROI, coordinate cross-functional evaluations, maintain a strong outbound pipeline, and share market feedback with product and customer teams. Help develop sales playbooks and operating standards as the company scales.

Build and maintain customer-facing and internal web applications from development through production. Develop scalable Python/FastAPI back ends, TypeScript/React front ends, and AWS infrastructure. Own product quality, reliability, maintenance, and user support while collaborating with clients and internal teams on technical solutions. Lead projects independently and apply AI tools to improve engineering productivity and create AI-powered software.

Run and scale highly available Kubernetes clusters across AWS, GCP, and GPU providers. Own production model-serving infrastructure, troubleshoot GPU systems, extend deployment tooling, and build observability for latency-sensitive services. Design automated failover, self-healing, alerting, and traffic-routing systems while partnering with optimization engineers to ensure performance under live traffic. The role requires extensive infrastructure experience, staff-level individual contributor capability, production Kubernetes expertise, GPU and CUDA troubleshooting, LLM serving knowledge, and high-performance networking experience.

Supports three litigation attorneys with deadline management, court docket verification, state and federal e-filing, document preparation, redactions, Bates stamping, exhibit organization, and administrative tasks. Coordinates work across offices and with remote support teams, while handling travel bookings, expense reports, and attorney time entry. Requires at least three years of litigation legal assistant or paralegal experience, strong e-filing and docketing expertise, Microsoft Office proficiency, and exceptional attention to detail.

Leads a hands-on engineering team developing AI-powered product features. Sets technical strategy, reviews system designs, contributes code, manages and develops engineers, maintains quality standards, and recruits engineering talent. The role requires strong TypeScript, front-end, database, and recent AI software development experience, along with management experience in a rapidly growing company.

Own product marketing for AI products sold to business customers, including positioning, customer stories, product launches, messaging, demos, distribution, and performance measurement. Translate technical capabilities into customer value, collaborate with product, technical, sales, and leadership teams, and use AI tools for research, analysis, and dashboards. The role is on-site five days per week in South San Francisco.