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

Drive net-new enterprise SaaS revenue through prospecting, consultative selling, executive engagement, full-cycle sales, and contract negotiation. Manage a target account book, maintain accurate pipeline forecasts, tailor AI platform solutions with cross-functional teams, and support customer deployments. Serve as a trusted product expert while consistently meeting or exceeding annual sales quotas.

Recruit and hire go-to-market sales talent for WRITER’s growing revenue organization. Responsibilities include sourcing passive candidates, conducting screens and interviews, partnering with hiring managers, managing the full recruitment lifecycle, negotiating offers, tracking recruiting metrics, supporting employer branding, and managing multiple openings while maintaining a strong candidate experience.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling, secure architecture, SAST/DAST automation, code reviews, secure coding standards, penetration testing, vulnerability remediation, and security controls for AI agents, data pipelines, and model-training environments. The role also researches emerging LLM security threats, partners with engineering teams, and enables secure developer workflows.

Own customer activation and platform success across a portfolio by translating business objectives into AI workflows, adoption strategies, champion programs, dashboards, workshops, and training. Build stakeholder and power-user communities, deliver customized educational experiences, connect usage to measurable outcomes and ROI, and continuously improve enablement through feedback and adoption data. Partner with transformation and curriculum teams while advising customers on scaling AI programs.

Build AI-specific threat detections, automated response playbooks, and detection-as-code frameworks for WRITER’s AI infrastructure. Lead incident response, forensic investigations, and proactive threat hunting across GPU clusters, training pipelines, inference endpoints, and distributed environments. Collaborate with cloud, application security, software security, and AI research teams while maintaining an on-call rotation and improving security automation and coverage.

Build and scale AI-driven agent systems that autonomously execute workflows and integrate with enterprise data and services. Responsibilities include developing agent infrastructure, APIs, memory, orchestration, security, state management, and asynchronous workflows; integrating vector databases, search systems, and external APIs; improving reliability and observability; and contributing to architecture, testing, CI/CD, and code reviews. The role also involves collaboration across product, research, data, and UX teams, with some frontend development for agent management tools.

Negotiate SaaS licensing, partnership, data processing, supplier, and other commercial agreements. Develop contract templates and negotiation playbooks, improve sales contracting processes, advise and train go-to-market teams, and create scalable legal operations. Partner closely with sales, procurement, and sales operations while supporting enterprise customers and strategic partners in regulated industries.

Own customer activation and deployment success across a portfolio by translating business objectives into AI workflows, adoption strategies, champion communities, workshops, training, and measurable outcomes. Build stakeholder relationships, demonstrate ROI, customize educational experiences, and collaborate cross-functionally to improve materials and customer engagement. The hybrid role is based in San Francisco or Seattle and may require 25% domestic and international travel.

Lead ambiguous, high-impact product initiatives across multiple teams, shaping strategy and multi-quarter roadmaps from discovery through launch and iteration. Partner with customers, engineering, design, sales, marketing, and executives to define requirements, navigate technical tradeoffs, and deliver AI-powered products. Own success metrics, communicate outcomes, mentor product managers, and raise product-management standards. The role requires strong customer empathy, technical fluency in LLMs and platform architecture, strategic judgment, and execution leadership.

Own product marketing for WRITER’s enterprise AI products, including positioning, messaging, launches, competitive differentiation, sales enablement, market research, and customer adoption programs. Partner cross-functionally with Product, Sales, Demand Generation, Content, Communications, and Customer Marketing to translate complex agentic AI capabilities into compelling enterprise value and field-ready materials.