Advise on product development and IP strategy for AI technologies, managing patents, trademarks, risks, and cross-functional partnerships. Requires 5+ years IP law experience, JD, and technical fluency in ML/AI.
Drives revenue growth by selling complex AI solutions to Fortune 500 enterprises, managing full-cycle sales including prospecting, closing, renewals, and expansions. Requires 8+ years enterprise sales experience with technical solutions and proven quota attainment.
Technical Program Manager drives AI/ML solutions for Public Sector customers, triaging issues, aligning resources, and leading cross-functional teams to deliver value in computer vision and generative AI. Requires 3+ years stakeholder experience, technical background, and TS/SCI clearance.
Designs and builds scalable platforms for serving LLMs, focusing on fault-tolerant systems, model integration, and observability. Requires 4+ years in backend systems, strong programming skills, and LLM serving expertise.
Solutions Engineer partners with sales to deliver customized GenAI demos and pilots for enterprise customers, secures technical wins, scopes projects, and supports initial implementations. Requires strong engineering background in Python/Java and client-facing experience in SaaS/fintech.
Build secure, scalable backend systems for AI infrastructure serving government customers. Requires active security clearance (TS/SCI capable), full-stack expertise, cloud-native tech like Kubernetes/Docker, and hybrid office presence in DC or St. Louis.
Build secure, scalable full-stack internal tools and applications (60% backend, 40% frontend) to boost G&A team productivity. Requires 5+ years experience, proficiency in React/Angular, Go/Python, cloud tech, and security compliance.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Lead a team as technical bridge for enterprise customers, architecting and deploying custom AI agents, integrations, and prompt engineering solutions into production environments. Requires 5+ years software engineering with 2+ years management, Python expertise, and cloud experience.
Leads a 50+ engineer team to design and deploy agentic AI products, providing technical direction on LLMs, AI agents, and distributed systems while engaging executives and stakeholders.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Owns end-to-end development of Flycar restaurant payments terminal, building reliable UIs, APIs, WebSocket flows, and debugging real-time payments in a Next.js/TypeScript monorepo. Requires 5+ years React/TypeScript with real-time data and high-stakes software experience.
Builds scalable data collection pipelines and interfaces for AI model improvement, collaborating with researchers and data operations. Requires strong full-stack engineering, internal tooling expertise, and adaptability in fast-paced research environment.
Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.
Drives execution of high-stakes security programs across engineering, infrastructure, and cross-functional teams to meet Responsible Scaling Policy commitments. Requires experience in technical program management, cybersecurity interest, and cross-team coordination.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Drive revenue accounting operations, AR management, and financial reporting with ASC 606/326 expertise. Own month-end closes, audit coordination, and cross-functional collaboration in a fast-paced SaaS environment.
Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.
Pre-Sales Solutions Architect advising enterprises on integrating Claude AI into their tech stacks. Guides from discovery to deployment, requiring 5+ years technical customer-facing experience, Python proficiency, and cloud architecture skills.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.
Respond to user support cases, debug complex API issues, and provide high-touch support for AI products. Partner with engineers to resolve issues at scale and drive support process improvements.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Performance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.
Drives revenue growth and retention for high-growth startup customers by expanding their use of Anthropic's safe AI solutions. Requires 3+ years in sales/account management, consultative expertise, and strong relationship-building skills.
Coordinates complex infrastructure programs across developer productivity, reliability, and cross-functional teams at Anthropic, driving scaling, security, and AI research support. Requires 5+ years TPM experience in ML/AI or distributed systems with deep technical knowledge.
Conducts experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.
Build full-stack tools and infrastructure for AI researchers to run experiments, collect feedback, and analyze models. Requires 5+ years full-stack experience, high agency, and proficiency in React, TypeScript, Python.
Engineering Manager leading teams to optimize inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
Builds AI skill development features as founding engineer in Education Labs, shipping end-to-end prototypes and defining technical direction. Requires 6+ years full-stack experience with React, TypeScript, Python, and strong design sensibility.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.
Architects and optimizes GPU systems for large-scale AI models, focusing on kernel development, distributed training, and performance breakthroughs to enhance inference efficiency and model capabilities.
Research Engineer implements and scales post-training techniques like Constitutional AI and RLHF for production AI models, optimizing capabilities, alignment, and safety. Requires strong Python skills, ML systems experience, and ability to handle complex distributed training pipelines.
Provides legal support for Go-to-Market teams by drafting, reviewing, and negotiating enterprise agreements, commercial contracts, and AI-related partnerships. Requires JD, 3+ years experience in commercial transactions, and strong collaboration skills.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Drive adoption of Anthropic's Claude Developer Platform among startups by leading developer onboarding, creating technical content, and running events. Requires 7+ years in startups and developer-facing roles, coding ability, and AI enthusiasm.
Build cutting-edge iOS apps leveraging advanced AI models for the Claude mobile team. Requires 7+ years iOS experience with Swift, SwiftUI, UIKit, and full-stack skills in a fast-paced environment.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Drives AI adoption through strategic deals with mid-market companies in key verticals, owning full sales cycles, pioneering AI-agent sales playbooks, and collaborating cross-functionally. Requires 3+ years B2B tech sales experience and passion for safe AI.
Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.
Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.
Drive enterprise adoption of safe AI through strategic deals, sector-specific GTM strategies, and consultative sales in key verticals. Requires 5+ years B2B tech sales experience, complex deal management, and passion for ethical AI.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.
Engineering Manager leading teams to optimize ML inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
Leads cross-functional initiatives for inference runtime and accelerator performance, coordinating model launches, managing dependencies, and ensuring reliability across hardware platforms. Requires technical depth in inference systems and strong program management experience.
Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.
Develop tools and frameworks to counter AI-enabled cyber threats, design experiments evaluating autonomous AI cyber capabilities, and translate findings into policy-informing demonstrations. Requires deep cybersecurity expertise, Python skills, and experience with LLM agents.
Builds next-generation training environments and evaluations for agentic AI models, blending research in reinforcement learning with robust engineering implementation. Requires strong technical judgment, agency, and experience in ML systems.
Advise on product development and IP strategy for AI technologies, managing patents, trademarks, risks, and cross-functional partnerships. Requires 5+ years IP law experience, JD, and technical fluency in ML/AI.
Drives revenue growth by selling complex AI solutions to Fortune 500 enterprises, managing full-cycle sales including prospecting, closing, renewals, and expansions. Requires 8+ years enterprise sales experience with technical solutions and proven quota attainment.
Technical Program Manager drives AI/ML solutions for Public Sector customers, triaging issues, aligning resources, and leading cross-functional teams to deliver value in computer vision and generative AI. Requires 3+ years stakeholder experience, technical background, and TS/SCI clearance.
Designs and builds scalable platforms for serving LLMs, focusing on fault-tolerant systems, model integration, and observability. Requires 4+ years in backend systems, strong programming skills, and LLM serving expertise.
Solutions Engineer partners with sales to deliver customized GenAI demos and pilots for enterprise customers, secures technical wins, scopes projects, and supports initial implementations. Requires strong engineering background in Python/Java and client-facing experience in SaaS/fintech.
Build secure, scalable backend systems for AI infrastructure serving government customers. Requires active security clearance (TS/SCI capable), full-stack expertise, cloud-native tech like Kubernetes/Docker, and hybrid office presence in DC or St. Louis.
Build secure, scalable full-stack internal tools and applications (60% backend, 40% frontend) to boost G&A team productivity. Requires 5+ years experience, proficiency in React/Angular, Go/Python, cloud tech, and security compliance.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Lead a team as technical bridge for enterprise customers, architecting and deploying custom AI agents, integrations, and prompt engineering solutions into production environments. Requires 5+ years software engineering with 2+ years management, Python expertise, and cloud experience.
Leads a 50+ engineer team to design and deploy agentic AI products, providing technical direction on LLMs, AI agents, and distributed systems while engaging executives and stakeholders.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Owns end-to-end development of Flycar restaurant payments terminal, building reliable UIs, APIs, WebSocket flows, and debugging real-time payments in a Next.js/TypeScript monorepo. Requires 5+ years React/TypeScript with real-time data and high-stakes software experience.
Builds scalable data collection pipelines and interfaces for AI model improvement, collaborating with researchers and data operations. Requires strong full-stack engineering, internal tooling expertise, and adaptability in fast-paced research environment.
Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.
Drives execution of high-stakes security programs across engineering, infrastructure, and cross-functional teams to meet Responsible Scaling Policy commitments. Requires experience in technical program management, cybersecurity interest, and cross-team coordination.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Drive revenue accounting operations, AR management, and financial reporting with ASC 606/326 expertise. Own month-end closes, audit coordination, and cross-functional collaboration in a fast-paced SaaS environment.
Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.
Pre-Sales Solutions Architect advising enterprises on integrating Claude AI into their tech stacks. Guides from discovery to deployment, requiring 5+ years technical customer-facing experience, Python proficiency, and cloud architecture skills.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.
Respond to user support cases, debug complex API issues, and provide high-touch support for AI products. Partner with engineers to resolve issues at scale and drive support process improvements.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Performance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.
Drives revenue growth and retention for high-growth startup customers by expanding their use of Anthropic's safe AI solutions. Requires 3+ years in sales/account management, consultative expertise, and strong relationship-building skills.
Coordinates complex infrastructure programs across developer productivity, reliability, and cross-functional teams at Anthropic, driving scaling, security, and AI research support. Requires 5+ years TPM experience in ML/AI or distributed systems with deep technical knowledge.
Conducts experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.
Build full-stack tools and infrastructure for AI researchers to run experiments, collect feedback, and analyze models. Requires 5+ years full-stack experience, high agency, and proficiency in React, TypeScript, Python.
Engineering Manager leading teams to optimize inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
Builds AI skill development features as founding engineer in Education Labs, shipping end-to-end prototypes and defining technical direction. Requires 6+ years full-stack experience with React, TypeScript, Python, and strong design sensibility.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.
Architects and optimizes GPU systems for large-scale AI models, focusing on kernel development, distributed training, and performance breakthroughs to enhance inference efficiency and model capabilities.
Research Engineer implements and scales post-training techniques like Constitutional AI and RLHF for production AI models, optimizing capabilities, alignment, and safety. Requires strong Python skills, ML systems experience, and ability to handle complex distributed training pipelines.
Provides legal support for Go-to-Market teams by drafting, reviewing, and negotiating enterprise agreements, commercial contracts, and AI-related partnerships. Requires JD, 3+ years experience in commercial transactions, and strong collaboration skills.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Drive adoption of Anthropic's Claude Developer Platform among startups by leading developer onboarding, creating technical content, and running events. Requires 7+ years in startups and developer-facing roles, coding ability, and AI enthusiasm.
Build cutting-edge iOS apps leveraging advanced AI models for the Claude mobile team. Requires 7+ years iOS experience with Swift, SwiftUI, UIKit, and full-stack skills in a fast-paced environment.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Drives AI adoption through strategic deals with mid-market companies in key verticals, owning full sales cycles, pioneering AI-agent sales playbooks, and collaborating cross-functionally. Requires 3+ years B2B tech sales experience and passion for safe AI.
Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.
Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.
Drive enterprise adoption of safe AI through strategic deals, sector-specific GTM strategies, and consultative sales in key verticals. Requires 5+ years B2B tech sales experience, complex deal management, and passion for ethical AI.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.
Engineering Manager leading teams to optimize ML inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
Leads cross-functional initiatives for inference runtime and accelerator performance, coordinating model launches, managing dependencies, and ensuring reliability across hardware platforms. Requires technical depth in inference systems and strong program management experience.
Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.
Develop tools and frameworks to counter AI-enabled cyber threats, design experiments evaluating autonomous AI cyber capabilities, and translate findings into policy-informing demonstrations. Requires deep cybersecurity expertise, Python skills, and experience with LLM agents.
Builds next-generation training environments and evaluations for agentic AI models, blending research in reinforcement learning with robust engineering implementation. Requires strong technical judgment, agency, and experience in ML systems.