Sr. Manager, Procurement Lease Administration

Job Application for Sr. Manager, Procurement Lease Administration at Anthropic

Back to jobs New Sr. Manager, Procurement Lease Administration San Francisco, CA | New York City, NY

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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We're looking for a Lease Admin to own the operational layer of Anthropic's Infrastructure Compute lease portfolio. That means data centers and co-location facilities, GPU and TPU equipment finance leases. This role sits in Infrastructure Compute Procurement and partners closely with the Infrastructure Accounting team on anything that touches the financials. Decision rights on renewals and commercial terms stay with Infra and Workplace. Your job is to make sure the data is clean, the dates are tracked, the bills are right, and the payments go out on time.

Key Responsibilities

Lease abstraction and system data hygiene ingest new leases and amendments into the LMS with clean, complete data; maintain the record of truth across all portfolio categories

Critical-date tracking and routing monitor renewal windows, option deadlines, and notice periods; flag and route decisions to the right stakeholders (Infra / Workplace) with enough lead time to act

Landlord billing audits review landlord invoices against lease terms, dispute errors, and reconcile CAM charges across the co-location and real estate portfolio

Rent payment processing and AP coding ensure rent and lease payments are processed accurately and on time; maintain correct GL coding at the source

Landlord billing ops and payment escalations manage payment workflows and escalate commercial disputes to the appropriate Infra or Workplace relationship owner

Lease system data stewardship and Workday integration keep the LMS in sync with Workday/ERP

Support the accounting team's close cycle with clean subledger data and timely inputs

Minimum qualifications

Experience implementing or operating an LMS (CoStar, Workday Lease, or equivalent)

A sharp eye for billing errors you've caught CAM discrepancies and wrong invoice amounts and know how to back them up with lease language

Enough familiarity with ASC 842 to support an accounting team, flag data problems upstream, and maintain a defensible subledger

AP process fluency - you understand how payments, POs, and GL coding work and can partner with a Finance Systems team to fix upstream data

Comfort working in a fast-moving, technical environment - our landlords are hyperscalers and hardware vendors, not just office building owners

Prior work in a SOX-compliant environment with documented lease controls

Preferred qualifications

7+ years of lease administration experience, spanning data center/colo, equipment, or multi-category real estate portfolios

Direct experience with data center or colo lease operations

Workday Financials / Workday Lease experience

AI first; creativity with automation, reporting, and efficiency with AI tools (preferably Claude)

Experience in a high-growth tech company where the portfolio grew faster than the process

Familiarity with AI/ML infrastructure you know what a GPU cluster is and why the lease terms matter

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.

Annual Salary: $230,000 - $300,000 USD

Logistics

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.

How we're different

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...