Top Tech Jobs & Startup Jobs in Seattle, WA

Lead negotiation, drafting, and review of commercial AI and technology SaaS agreements. Advise go-to-market, sales, engineering, product, and security teams. Build commercial contracting processes, train sales and cross-functional teams, and support broader legal work as the company scales.

Own and configure Workday HCM, design and maintain integrations (EIBs, Core Connectors, RAAS, Studio, APIs), manage Workday security and business processes, partner with People, Security, Data, and Finance, and lead release and testing cycles to ensure compliance and scalable HR systems.

Drive end-to-end enablement for internal technology initiatives—especially AI tooling—by planning rollouts, change management, training, documentation, and dashboards. Monitor adoption and feedback, iterate enablement materials, partner with product/engineering/GT M and BizTech, and deliver measurable outcomes like increased adoption and reduced support load.

Join Harvey's legal team to draft, review, and negotiate commercial AI SaaS contracts, provide regulatory counsel, and support cross-functional teams.

Serve as GTM Technology Product Owner for Revenue Technology: translate post-sales business objectives into technical requirements, design orchestration and automations, build AI-agent-enabled workflows, manage data integrity and system governance, partner cross-functionally with Customer Success, RevOps, and GTM Systems, and drive roadmap execution from inception through hypercare.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

Senior IC in BizTech who builds, integrates, governs, and operates LLM-powered workflows across G&A and GTM. Owns MCP and connector roadmaps, vendor security/privacy reviews, prototypes reference architectures, and operationalizes internal AI tools with monitoring, governance, and stakeholder alignment.

The Support Operations Engineer will execute and maintain enablement content for onboarding and training in a SaaS environment. They will manage content delivery, track progress, and improve instructional materials based on feedback and performance metrics.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Lead and build Harvey’s people analytics function: design the people data architecture, consolidate HR systems, define metrics and methodology, create dashboards and forecasting models, surface leading indicators for intervention, enable self-serve analytics, and partner with People Ops, Recruiting, Finance, and Data Engineering to drive strategic workforce decisions.