Top Tech Jobs & Startup Jobs in Seattle, WA

Develop and maintain firmware for embedded systems, collaborate with teams, troubleshoot issues, optimize performance, and mentor junior engineers.

The Product Operations Analyst will develop customer and growth programs, collaborating with product teams to enhance customer experience and drive growth strategies.

Lead the architecture and operations of network services, optimizing performance and scalability for AI workloads while ensuring security and compliance.

As a Network Capacity Planner II, you'll optimize the datacenter network infrastructure by forecasting needs, analyzing utilization trends, and improving tools for network scalability.

As a Solutions Architect at CoreWeave, you will lead customer engagement, establish Kubernetes environments, and develop tailored AI/ML solutions while collaborating with engineering teams on product enhancement.

The role involves managing IT and systems integration for mergers and acquisitions, including developing integration playbooks and overseeing execution across enterprise systems while ensuring security and scalability.

Provide high-level support to the Chief Revenue Officer and Global Field organization: manage complex global calendar, coordinate domestic and international travel, prepare executive materials, track deliverables, drive follow-through on action items, handle confidential information, and support cross-functional initiatives in a fast-paced, hyper-growth environment.

Design and implement scalable, fault-tolerant Kubernetes control-plane components. Develop Helm charts, custom controllers and CRDs, build deployment automation, monitoring, dashboards, and participate in on-call operations to ensure platform reliability and operability.

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.