Warehouse and Logistics Capability Manager
Anthropic
Warehouse and Logistics Capability Manager
Anthropic
Builds Claude AI models with a focus on safety
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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic's Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role builds the key capabilities and partnerships to scale these services with velocity.
As Warehouse and Logistics Capability Manager, you'll report to our Global Warehousing and Logistics Lead and own the design, and roll-out of key capabilities (selection of in-house or off-the-shelf tooling, process, and data integrity), implementation and integration with strategic partnerships to achieve global scale.
This is a strategic role on a small team, so you'll move between building the tooling, processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for supply chain and logistics capabilities.
Define the key requirements for new capabilities in collaboration with partner teams
Own the program management, selection and implementation of tools pertaining to warehouse, inventory, transport management etc., and their integration with internal and external tools
Enable expansion to new geographies with the right tools, processes, SOPs and data in conjunction with the operational warehouse managers
Conduct RFP where needed and drive tool selection and/or build in line with business requirements
Ensure third party vendor tools are fully integrated with Anthropic’s architecture and meet compliance, and regulatory requirements
Conduct full testing and effective adoption of new processes and tools, effectively managing risks and timely implementation
Develop/enhance reports on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement
Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping
Hands-on experience using and designing warehouse management and inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data
Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them
Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it
Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries
Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners
Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase
Ability to travel to warehouse and data center sites in the US as needed
Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment
Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR
Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction
Experience directly managing warehouse staff or contract labor
Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems
Experience with Agile development and frontier AI tools
Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We 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. We're 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.
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 about our policy for using AI in our application process.
Annual Salary: 405000 - 485000 USD
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
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