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Data Scientist on Anthropic's Safeguards team analyzing user behavior for safety insights, defining success metrics, running experiments, and building a data-driven culture using Python, SQL, and data visualization tools.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Technical Program Manager leading end-to-end model and product launch programs at Anthropic, coordinating across research, engineering, product, and infrastructure teams to ship AI capabilities reliably at scale.
Staff+ engineer on Anthropic's public sector team building and deploying Claude AI products for U.S. government customers, working full-stack or backend across compliance-heavy environments like FedRAMP and classified networks.
The Technical Program Manager for Research at Anthropic designs and executes programs to support AI model development, focusing on compute, evals, RL environments, and safety. They bridge research, engineering, and product teams to streamline workflows, optimize processes, and drive impactful AI advancements.
The Technical Program Manager drives cloud deployments for Anthropic’s AI models, coordinating internal engineering teams and cloud partners (AWS, Google, Microsoft) to ensure on-time launches, incident resolution, and cross-functional alignment for scalable AI product delivery.
Leads data-driven strategy for developer productivity in an AI-first org, defining metrics, experiments, and tooling to measure and improve how engineers work with AI tools like Claude, while partnering closely with engineering leadership.
Pre-sales architect designing and deploying LLM solutions for enterprise customers, building prototypes, reusable blueprints, and evaluation frameworks for Anthropic’s Claude AI systems.
Data scientist driving commercial decisions for an AI platform, analyzing GTM metrics, running experiments, and building statistical models to optimize customer acquisition and retention.
Product manager for Anthropic's Human Data Platform, owning the direction of data collection tooling—labeling interfaces, infrastructure pipelines, and vendor platforms—used to improve AI models, collaborating closely with engineering, research, data ops, and external vendors.
Configures and maintains Workday HRIS (Payroll, Absence, Time Tracking, HCM) for a fast-growing AI company, ensuring system security, scalability, and business alignment. Focuses on optimizing internal People Systems with AI-driven automation and problem-solving.
Build data pipelines, APIs, and web tools that Anthropic researchers use daily to manage, query, and analyze training and evaluation data for frontier AI models.
Tech lead for Anthropic's Research Data Platform team, building systems that make research data (training runs, RL transcripts, annotations) easy to produce, find, query, and trust. Hands-on role designing platform components and owning core datasets end-to-end, working directly with ML researchers.
Builds full-stack platforms and tools for reinforcement learning (RL) environments, data collection, and training observability to improve Claude’s AI models. Owns end-to-end systems—from backend APIs to web UIs—collaborating with researchers to solve high-stakes problems quickly.
Embeds with AI product teams to run launches, early-access programs, and feedback loops, ensuring safe and reliable model deployments while streamlining cross-functional processes.
Build full-stack AI products and tools for developers and enterprises using LLMs, focusing on developer experience, enterprise integrations, and vertical-specific applications like healthcare and finance.
Staff+ full-stack engineer role at Anthropic serving as a technical leader across product teams building Claude-powered experiences—ranging from developer tools (SDKs, console, docs) and enterprise AI products to vertical solutions in healthcare, finance, and life sciences. You'll own end-to-end product quality, mentor peers, and scale features to millions of users. Core tech includes React, TypeS
Design and manage global equity compensation programs for a leading AI safety company, ensuring compliance, scalability, and employee clarity.
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