Top Tech Jobs & Startup Jobs

As part of the Data Science and Analytics team, the Data Scientist will drive data-informed decision making and improve developer productivity by analyzing metrics, conducting causal analyses, and presenting actionable insights to stakeholders.

Lead a global startup partnerships team to drive adoption of Anthropic's AI platform (Claude). Build and scale partner ecosystems with accelerators, VCs, and regional partners, manage P&L and pipeline, recruit and develop distributed teams, and coordinate cross-functional GTM efforts while navigating regulatory and local market dynamics.

Design and run RL experiments to improve code generation and autonomous coding; build environments, reward signals, verifiers, and scalable training pipelines; debug and own systems end-to-end; collaborate to deploy research into production while ensuring safety and correctness.

As a Startup Account Manager, you'll drive expansion and retention for high-growth startup customers, leveraging consultative sales expertise to enhance their AI capabilities and ensure maximum value from Anthropic's solutions.

Responsible for recruiting top talent for Core Tech teams, focusing on Machine Learning and AI. Collaborates with hiring managers to improve processes and enhance employer branding while scaling diverse teams.

Drive business and revenue growth in federal civilian agencies, manage sales cycle, ensure compliance, and build relationships with decision-makers.

As a Research Engineer, you will develop large scale ML systems, optimize infrastructure and enhance research tools while ensuring reliability and safety.

Manage operational health and progress of reliability infrastructure in AI systems, driving incident responses, maintaining service-level objectives, and coordinating platform projects.

Lead and grow an engineering team building investigation, review, and enforcement tooling and platform capabilities. Define roadmap for analytics, privacy-preserving data primitives, sandboxes, and automation that integrates Claude/LLMs into human-in-the-loop review workflows. Partner with policy, operations, legal, privacy, and data science to translate enforcement needs into reliable, privacy-compatible systems and hire and coach top technical talent.