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

Lead top-of-funnel growth marketing for a software company through organic search, content, community engagement, creator partnerships, launches, and physical advertising. Convert community and product-use signals into qualified leads, collaborate with sales to maintain lead quality, and manage the company’s public debut. The role requires hands-on growth experience, startup exposure, independent planning, and onsite work in San Francisco five days per week.

Build, deploy, and improve production machine learning systems, including models, data pipelines, AI services, and monitoring workflows. Responsibilities include fine-tuning and evaluating models, designing scalable training and inference infrastructure, optimizing performance and cost, integrating APIs and internal tools, and partnering with product, research, and design teams to deliver reliable features. The role requires hands-on software delivery experience, cloud knowledge, and practical application of machine learning or analytics-heavy systems.

Entry-level outbound sales role focused on researching target accounts, writing personalized outreach, initiating prospect conversations, qualifying interested contacts, and coordinating product demonstrations with technical teams. The representative will maintain accurate CRM records, test messaging effectiveness, and collaborate with product teams to understand hardware offerings. No prior professional sales experience is required, though initiative, strong writing, curiosity about physical products, and relevant hardware or business development exposure are valued.

Own AI safety projects for frontier AI labs, including adversarial datasets, red-teaming programs, safety benchmarks, and evaluation systems. Manage client relationships and end-to-end delivery while leading cross-functional teams of technical and subject-matter experts. Collaborate on AI research and data infrastructure initiatives, and drive company-wide strategic projects in a high-intensity, on-site environment.

Lead backend engineering for AI platform components, designing scalable services for enterprise and on-premises deployments. Own systems from architecture through production release, guide and develop engineers, manage priorities, and support customer rollouts. The role requires Python and TypeScript expertise, container orchestration and packaging experience, end-to-end product delivery, people leadership, and a computer science or related STEM degree.

Own the full enterprise software sales cycle from prospecting through contract signature. The Account Executive will close complex deals with senior decision-makers, develop trusted advisory relationships, coordinate with SDRs, test and refine sales tactics, mentor sales development staff, and build repeatable sales processes for an expanding early-stage team.

Partner with sales teams to lead technical discussions with prospective software customers. Responsibilities include gathering requirements, designing solutions, delivering product demonstrations, facilitating API and integration working sessions, supporting technical issues, sharing product feedback, and transitioning accounts to implementation. The role requires strong communication skills, hands-on web service and coding experience, and travel of approximately 40%.

Own the full sales cycle from prospecting through contract close, guide customers in launching and optimizing outreach campaigns, accelerate early engagement, develop creative strategies, create repeatable sales playbooks, share customer feedback with product, and close or expand larger accounts.

Manage strategic software accounts by advising senior leaders, monitoring account health and adoption, leading executive business reviews, supporting renewals and expansions, translating product usage into business value, and relaying customer feedback to product and engineering teams. Maintain accurate CRM records, risk flags, and renewal forecasts while traveling to customer sites one to two days monthly.

Build and optimize low-level software for large machine learning workloads across specialized, multi-vendor hardware. Tune model serving for speed, throughput, reliability, and cost; write GPU kernels; design and operate heterogeneous compute clusters; monitor production systems; and work directly with customers. The role requires deep computer architecture and operating systems knowledge, infrastructure or systems experience, strong communication, on-site availability in San Francisco, and a computer science degree. Exceptional results and GPU or ML serving experience are valued.