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

Build Pragmatike’s venture capital partnership channel from the ground up. Identify and engage VC firms, investors, platform teams, and operating partners; position Pragmatike as a trusted talent provider for portfolio companies; develop strategic partnerships; generate revenue opportunities; and collaborate with founders on go-to-market strategy. The role requires autonomous, relationship-driven business development across the global startup and technology ecosystem.

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.

The Founding Tech Recruiter will build recruiting systems from scratch, engage with the startup community, and recruit for various technical roles, directly impacting company growth.

Build end-to-end product features across frontend and backend using TypeScript, Python, and Go. Design and implement APIs, integrations, and data workflows; improve performance, reliability, and scalability; write well-tested production code; participate in architecture and design discussions; collaborate with Product, Design, and engineers in an on-site San Francisco environment and own features through the development lifecycle.

Lead the AI engineering org for a YC-experienced startup: drive 0->1 product development, design full-stack architectures, partner with customers and product, mentor engineers, and establish scalable production AI systems and technical strategy.

Design, build, and own end-to-end full-stack features using TypeScript, Python, and Go. Develop frontend applications and scalable backend services, design APIs and data workflows, improve performance and reliability, write well-tested production code, participate in architecture discussions, and collaborate closely with product, design, and engineering teams in an on-site San Francisco environment.

Customer-facing software engineer who builds, deploys, and customizes production solutions. Works directly with customers to gather requirements, develop integrations, APIs and automation, troubleshoot across application and infrastructure layers, and translate feedback into product and engineering improvements.

Lead the AI engineering organization and establish technical strategy for production AI systems. Drive 0→1 product initiatives, design full-stack scalable architectures, partner with customers and product leadership, translate ambiguous problems into solutions, mentor engineers, and influence roadmap while balancing speed, quality, and sustainability.

Lead architecture, engineering, and technical strategy for large-scale, production AI systems. Drive model serving and inference initiatives, optimize performance/cost, evaluate emerging AI tech, set engineering standards, mentor senior engineers, and influence product and infrastructure strategy.

Lead product strategy and roadmap for a defined area, translate customer problems into requirements, conduct discovery and research, define priorities and success metrics, work with Engineering and Design through delivery, analyze performance, and drive launches and adoption.