Top Tech Jobs & Startup Jobs

Build and operate production data and planning systems to track, attribute, and forecast compute capacity and cost. Develop ingestion pipelines into BigQuery, observability tooling, and Kubernetes-native scheduling/placement features. Drive efficiency programs, reconcile multi‑provider billing, and produce actionable capacity plans. Collaborate across research, infrastructure, inference, and finance; own SLOs, on-call, and product-quality data surfaces.

Lead and deliver large-scale distributed infrastructure projects end-to-end. Make architectural decisions, drive cross-team alignment, partner with research/product teams, ensure reliability, scalability, and security, set technical standards, improve operational processes, and mentor other engineers.

Serve as a pre-sales Applied AI architect advising enterprise customers on Claude adoption. Translate requirements into technical solutions, design scalable LLM architectures, develop evals, create technical content, coordinate cross-functional teams, and support deployment and integration while occasionally traveling for onsite workshops.

Drive adoption of Anthropic's frontier AI with startups by owning full sales cycles, designing sales strategies, expanding market segments, informing product roadmaps from customer feedback, and refining sales playbooks to meet revenue quotas.

As a Data Scientist, you will drive data-informed decisions at Anthropic by analyzing product usage, conducting causal inference, and collaborating across teams to enhance developer platform performance.

The Product Manager will drive enterprise API strategy, engage with developers, and lead product development to enhance multi-cloud integrations at Anthropic.

Design and build internal investigation, review, and enforcement tooling and underlying platform APIs, storage, and services. Integrate LLMs (Claude) to scale human review, implement guardrails (permissions, audit trails, data-access controls), instrument metrics, and partner with policy, operations, legal, privacy, and data science to improve reviewer workflows and safety outcomes.

The Engineering Manager for Research Tools will lead a team of experts to optimize systems for AI research, support collaboration with various teams, and drive effective processes for system efficiency and team growth.

As a Staff Infrastructure Engineer, you'll define and drive strategies for cloud-based compute clusters, ensuring secure, reliable, and scalable infrastructure. Responsibilities include lifecycle management, collaborating with cross-functional teams, and mentoring engineers.

Build and maintain scalable AI-powered developer tools across front-end and back-end stacks. Collaborate with developers and researchers to improve UX and model capabilities, experiment with new AI-assisted coding techniques, and support integrations like notebooks, VS Code plug-ins, CLIs, and containerized environments.