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Engineering Manager, Enterprise Foundations at Anthropic
Anthropic
San Francisco, CA
Administration
Posted 0 days ago
Job Description
About AnthropicAnthropics 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 committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.About the RoleEnterprise is central to Anthropics mission. The organizations that could benefit most from Claude in healthcare financial services and government are often the most demanding buyers with rigorous requirements around security compliance and control. We believe earning their trust is essential to ensuring AI benefits the world broadly.Were looking for an engineering leader to build and scale our Enterprise Foundations team. This team owns the foundational systems that make Claude work for large organizations: the admin experiences billing controls identity and access management and deployment systems that let Fortune 500 companies adopt Claude with confidence. Youll be responsible for making it dramatically easier for enterprises to buy deploy and manage Claude across their entire organization with direct day to day impact on unlocking business outcomes.This role sits at the intersection of enterprise product platform infrastructure and go-to-market. Youll partner closely with product design sales and customer success to understand what our largest customers need then translate those requirements into scalable technical solutions. The work spans unified administration across Anthropics product suite consumption-based pricing and billing enterprise identity and permissions and meeting the deployment requirements of regulated industries.ResponsibilitiesBuild and lead a high-performing team of engineers focused on enterprise admin billing identity and deployment infrastructureOwn the technical strategy for enterprise platform systemsDrive development of scalable systems that let enterprises deploy manage and scale Claude usage across their organizationsPartner on deployment requirements for regulated industries including compliance certifications data residency and multi-cloud availabilityWork closely with sales customer success and GTM teams to identify enterprise blockers and translate them into prioritized engineering workCreate clarity and direction for the team in a fast-moving environment where enterprise requirements evolve rapidlyYou May Be a Good Fit If You Have5 years of experience as an engineering manager with at least 3 years leading teams building enterprise SaaS platformsStrong technical background with hands-on experience building admin experiences billing systems or identity/access management platformsExperience with enterprise identity management including SSO integration SCIM provisioning and RBAC systems at scaleTrack record shipping billing and pricing infrastructureideally including consumption/usage-based models or enterprise contract managementExperience building systems that scale from small teams to large enterprise deployments (500K user organizations)Excellent communication skills and ability to work effectively across product design sales customer success and security functionsStrong Candidates May Also HaveExperience with AI/ML products and understanding how enterprises evaluate and deploy AI toolsBackground with compliance frameworks for regulated industries (SOC2 HIPAA) and enterprise audit logging requirementsExperience with multi-cloud deployments or marketplace distribution (AWS GCP Azure)Familiarity with data residency and sovereignty requirements across global regionsStartup experience particularly in scaling enterprise platforms from early adoption to broad deploymentThe expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.Annual Salary:$405000 - $485000 USDLogisticsEducation requirements: We require at least a Bachelors degree in a related field or equivalent experience.Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.How were differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application processRequired Experience:Manager Key Skills Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 405000 - 485000
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