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

Partner with the CEO to convert strategy into execution: run high-priority cross-functional initiatives, prepare board materials, lead strategic analyses, manage operating cadence (meetings, all-hands, planning), resolve organizational bottlenecks, and align Product, Engineering, Finance, and GTM for rapid decision-making.

Lead product definition and delivery of AI-native security products. Partner with engineering, research, security, design, and sales to turn ambiguous customer problems into prioritized features, build agentic systems for discovery-to-remediation workflows, and iterate with enterprise security teams from discovery through launch.

Own technical post-sales relationships for enterprise customers: lead onboarding, integrations, production deployments, troubleshoot cloud/APIs/CI/CD/SCM issues, drive adoption, influence product roadmap, produce docs and playbooks, and scale the Technical Account Management function.

Lead design and buildout of GTM analytics: create Salesforce data model, warehouse, pipelines, attribution, account/lead lifecycles, dashboards, and partner with sales and marketing to improve performance.

Own and build full-cycle technical recruiting for engineering and GTM roles, partner with founders on hiring strategy, design sourcing and evaluation frameworks, proactively source candidates, and build employer brand to scale a security AI startup.

Lead product marketing as the first PMM: define positioning and messaging, run product launches, create sales enablement and website copy, build competitive intelligence, partner with sales and product, and translate technical differentiation into clear, persuasive buyer-facing stories.

Outbound SDR responsible for prospecting, executing personalized outreach across email, phone, and LinkedIn, researching accounts, qualifying prospects, booking discovery calls, collaborating with marketing and sales leadership, tracking activity in CRM, and exceeding monthly pipeline generation targets.

Build and train AI agents to discover and exploit software vulnerabilities. Design and maintain evaluation benchmarks, develop training procedures and reinforcement learning environments, and perform model evaluation at scale to produce reliable, scalable security products.

Lead front-end development and design of an AI-native web app using React/Next.js. Drive web performance optimization, build reusable UI frameworks, ensure scalability and maintainability, and collaborate on product and user-centric security workflows.

Design and implement scalable backend infrastructure for an AI-native security platform. Build and operate code-execution pipelines, agent orchestration, evaluation and training pipelines, and mentor engineers to ensure performance, reliability, and secure architecture at enterprise scale.