Top Tech Jobs & Startup Jobs in Seattle, WA

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

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.

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 AI transformation initiatives for Fortune 50–100 customers, partnering with executives to define adoption strategies, deliver measurable ROI and P&L impact, manage complex cross-functional programs, mitigate risks, and identify expansion opportunities. Develop transformation frameworks, executive communications, and repeatable best practices while influencing product strategy and helping organizations adopt AI-first operating models.

Build secure, scalable generative AI services, applications, APIs, microservices, and agentic workflows for enterprise customers. Own system architecture from proposal through deployment, develop React and TypeScript interfaces, and collaborate with product, data science, and DevOps teams. Implement continuous deployment, monitoring, logging, security, and reliability practices while leveraging cloud platforms, containers, vector databases, and modern AI development tools. Mentor engineers and take ownership of resilient production code.