Top Tech Jobs & Startup Jobs in Seattle, WA

Leads corporate accounting operations, including month-end close, lease and equity accounting, foreign currency, purchase accounting, general ledger management, reconciliations, financial reporting, and internal controls. The role develops scalable accounting processes, improves workflows using technology and AI tools, supports acquisitions, and partners cross-functionally to ensure accuracy, compliance, and operational excellence in a high-growth technology company.

Deploy and operate large-scale GPU Kubernetes clusters across cloud providers, onboard new hardware, and improve reliability, performance, utilization, and cost. Automate fault detection and remediation for nodes, GPUs, and high-speed fabrics. Troubleshoot Linux, networking, and production performance issues while collaborating with cloud providers, hardware vendors, researchers, and ML engineers. Participate in a compensated 24x7 on-call rotation.

Own full-cycle recruiting for Cohere’s go-to-market teams, from sourcing through hiring, while delivering an excellent candidate experience. Partner with hiring managers to develop recruiting strategies, monitor funnels in Ashby, provide talent-market insights, and build diverse talent communities. The role also includes proactive sourcing, recruiting projects, conference representation, and curated networking events within a rapidly growing AI company.

Source and engage high-quality business talent across sales, finance, revenue, marketing, communications, and operations. Build talent pipelines, partner with hiring managers and talent partners, manage recruiting funnels in the ATS, monitor sourcing analytics, maintain market intelligence, develop proactive sourcing strategies, cultivate professional networks, and lead high-impact talent projects while supporting inclusive hiring.

Recruit business talent across People, Finance, Revenue, Marketing, Communications, and Operations. Build and manage talent pipelines, source passive candidates, partner with hiring managers, maintain recruiting funnel analytics, monitor market trends, and develop proactive sourcing strategies. The role also involves cultivating industry networks, supporting diversity and inclusion, and leading high-impact talent projects in a fast-growing AI technology company.

Own the full sales cycle for net-new enterprise technology accounts, from prospecting and relationship building through proof-of-concept, contract close, deployment, and expansion. Develop consultative value propositions for AI and NLP solutions, collaborate with channel partners and internal product, engineering, marketing, sales development, and customer success teams, and exceed quota through strategic multi-year enterprise deals.

Own the full sales cycle for state, local, and higher education customers across the SLED market. Responsibilities include territory planning, outbound business development, executive relationship building, consultative selling, partner management, proof-of-concept execution, procurement, and deal closure. The role requires collaboration with SDR, Marketing, Customer Success, Sales Engineering, Product, and Engineering teams to expand public-sector adoption of Cohere’s AI platform.

Own the full sales cycle for State, Local, and Higher Education (SLED) customers in the Western US. Drive net-new acquisition via outbound outreach, partner/channel engagement, and executive relationships. Collaborate with SDRs, Sales Engineering, Product, and Customer Success to deliver proofs-of-concept, navigate procurement, and close deals while shaping product priorities with customer feedback.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Build and operate the platform that schedules, runs, and monitors machine learning training, evaluation, and reinforcement-learning workloads on Kubernetes. Responsibilities include job scheduling, workload networking, runtime isolation, checkpoint storage, automation, infrastructure as code, observability, and production troubleshooting. The role collaborates with AI researchers and ML engineers and includes a compensated 24/7 on-call rotation.