Top Tech Jobs & Startup Jobs in Seattle, WA

This role involves developing infrastructure that supports AI product development, enhancing developer productivity, managing cloud operations, and ensuring scalable identity solutions while collaborating across teams.

Build and enhance iOS applications using cutting-edge technology, collaborating with various teams to develop user-friendly mobile experiences and optimize app performance.

Manage node lifecycle for AI infrastructure, optimize health and capacity of hardware, and mentor engineers while driving technical strategy.

Own and operate Kubernetes control plane components, scale the Kubernetes scheduler, build core cluster services, collaborate with teams, and lead incident response.

Manage high-volume compute and infrastructure contracting from intake through signature. Own and administer the CLM system, design intake/workflows, build templates and playbooks, run reporting and SLAs, manage post-signature obligations, streamline processes, and deploy LLM/AI tooling to scale contracting efficiency across datacenter, hardware, construction, and network vendor agreements.

Lead and coordinate cross-team roadmap for shared Apps platform: sequence work, manage dependencies, drive platform adoption, reduce duplication, establish operating rhythms, produce program documentation, surface and resolve technical blockers, and facilitate cross-org decision making to increase developer velocity and product shipping reliability.

As part of the Safeguards Data Science team, you will analyze user behavior, define success metrics, and foster a data-driven culture to improve AI safety.

Lead strategy and execution for Anthropic's database infrastructure across cross-region, multi-cloud, and hybrid deployments. Own roadmaps, coordinate vendors and hyperscalers, manage risks and dependencies, produce program documentation, and facilitate technical decision-making to ensure highly available, 24x7 database services.

Lead scaling and efficiency programs for Anthropic's API stack across API, infrastructure, databases, networking, and inference. Run multiple large cross-team programs, own cross-org dependencies end-to-end, establish decision-making clarity, surface risks and trade-offs to engineering leadership, and ensure programs deliver scalable, cost-effective API platform improvements.

As an Analytics Engineer, you will create scalable solutions for data reporting, build data pipelines, and establish high data integrity standards while collaborating with multiple teams.