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

Own technical sourcing strategy for AI, machine learning, research, software engineering, product, and related roles. Build market maps and talent pipelines, engage passive candidates through recruiting platforms and technical communities, personalize outreach, assess candidate fit, track sourcing analytics, and improve recruiting tools and workflows. Partner with recruiters and hiring managers while establishing the company’s first dedicated technical sourcing function.

Design and own mechanical robotic subsystems from concept through prototyping, testing, iteration, and production. Responsibilities include CAD modeling, material and tolerance selection, design for manufacturability, hands-on prototype fabrication using 3D printing and CNC machining, and integration of motors, sensors, electronics, and actuators into robotic arms and mobile bases. The role requires close collaboration with hardware teams to develop reliable systems for data center operations.

Lead complex enterprise AI engagements from discovery through deployment, adoption, and expansion. Partner with C-suite stakeholders to define problems, build ROI-driven business cases, and create customer roadmaps. Own strategic and commercial outcomes while collaborating with forward-deployed engineers on technical delivery. Translate customer insights to product and engineering teams, and build repeatable deployment playbooks for a new Applied AI function.

Own the agentic product portfolio’s strategy, vision, roadmap, discovery, and execution. Partner with founders, engineering, commercial leaders, and enterprise customers to align product direction with revenue goals and technical feasibility. Prioritize market opportunities, pricing, specifications, and delivery; lead expansion into healthcare and retail; and prototype concepts using AI coding agents. The role requires substantial customer engagement and hands-on leadership in an early-stage startup.

Build and own the backend platform for creating, monitoring, optimizing, deploying, and operating autonomous AI agents. Develop production agent implementations, design product features, package software for customer-controlled environments, and make architecture decisions across infrastructure, workflow orchestration, and reliability. The role requires hands-on enterprise deployments, independent problem solving, and onsite work in San Francisco five to six days weekly.

Build the fintech company’s MVP end to end across web, mobile, backend, data, infrastructure, and AI agents. Own architecture, cloud, security, observability, regulated money movement integrations, and compliance guardrails. Establish engineering standards, coordinate contract engineers, and ship reliable production systems quickly. The role begins as the first technical hire with a path toward technical leadership.

Work directly with both founders to execute strategic initiatives across go-to-market, product, recruiting, and operations. Build and scale outbound and GTM systems, translate founder and customer insights into action, lead cross-functional special projects, create repeatable processes, and use AI tools and automation to increase team leverage.

Research Product Manager focused on AI model capabilities, evaluations, experiments, and synthetic-data programs. The role partners with frontier AI researchers to identify capability gaps, design benchmarks, conduct literature reviews, implement state-of-the-art research, and manage short-term projects through weekly data releases. Candidates will translate ambiguous technical requests into research plans, coordinate researchers and external contributors, and deliver end-to-end technical projects in an on-site, early-stage environment.

Partner with the CEO to scale claims operations by designing processes, workflows, hiring systems, and data-driven operating models. Lead strategic initiatives and cross-functional problem solving across product, engineering, claims, and business teams. The role requires independently structuring ambiguous problems, improving operational performance, and driving high-impact initiatives through implementation in a fast-growing AI-native insurance company.

Build and lead the company’s compliance program across SOC 2, HIPAA, ISO 27001, PCI DSS, and related frameworks. Manage enterprise security reviews and vendor questionnaires, automate compliance and operational workflows with AI and LLM tools, coordinate security, finance, GTM, and cross-functional workstreams, and establish operating processes for a rapidly growing startup.