Top Tech Jobs & Startup Jobs in Seattle, WA

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Build, maintain, and improve algorithms and infrastructure for finetuning and RL training (RLHF) of large language models. Improve speed, reliability, and usability of training pipelines through profiling, instrumentation, debugging GIL contention, launching test jobs, and implementing research algorithms to support production and internal model training.

Lead system-level architecture for large-scale AI compute: define specs, evaluate vendor designs, drive interconnect, power, thermal, and reliability strategies, develop validation and bring-up plans, and partner with ML, infrastructure, and supply chain teams.

Design and build real-time risk decisioning and tooling to prevent payments fraud. Implement fraud signals at scale, manage dispute and chargeback workflows, monitor metrics (loss, dispute, approval, false positives), lead investigations into emerging fraud patterns, and collaborate cross-functionally with finance, support, legal, data science, and external payment partners.

Join the Web Product team to develop features for Claude.ai, transform user interaction, and enhance AI collaboration. Full-stack work across frontend and backend.

As a Technical Program Manager, you'll coordinate infrastructure programs, enhance developer productivity, ensure system reliability, and foster cross-team collaboration.

Lead design, implementation, and operation of Anthropic's database platform to support millions of users and research workloads. Architect scalable, multi-cloud storage, caching, and data-movement (migrations, backfills, CDC) systems, optimize performance and cost, and partner with product/research teams. Drive build-vs-buy decisions and lead large infrastructure projects to ensure reliability during rapid growth.

Pre-sales architect role focused on technical partnerships with GSIs and cloud providers. Embed with partner technical teams, develop joint GenAI solutions and reference architectures, support strategic customer deals, represent Anthropic at partner events, run developer enablement and hackathons, and collect product feedback to inform roadmap and partner strategy.

Lead technical direction and hands-on development of an accelerator-agnostic inference runtime. Own architecture, performance, scheduling, memory management, validation (canary/shadow/rollback), and cross-accelerator abstractions. Drive integrations with compilers, build systems, and infra, mentor engineers, and coordinate prioritization across serving, scaling, and accelerator teams to ensure efficient, reliable inference at scale.

Design, build, and operate Anthropic's managed caching platform: a scalable Redis fleet, client libraries, CDC-driven cache invalidation, multi-cloud deployments, observability, and tooling. Drive technical direction, optimize latency/hit rates/cost, partner with product and research teams, and make build-vs-buy decisions for caching infrastructure.