Data Center Strategic Sourcing Lead - Construction

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.

We are hiring a Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic's Data Center electrical and mechanical Owner Furnished Equipment (OFE) footprint. In this role, you will own end-to-end sourcing strategies for critical electrical and mechanical infrastructure such as generators, switchgear, UPS systems, chillers, and cooling equipment. You will partner closely with engineering, demand planning, construction, and third parties to drive equipment availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center equipment, you will play a critical role in helping Anthropic to achieve its ambitious scaling goals.

Key responsibilities

• Drive commercial negotiations and Master Purchase Agreements for critical electrical and mechanical infrastructure such as generators, medium- and low-voltage switchgear, transformers, UPS systems, chillers, cooling towers, CRAHs, and pumps.

• Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets.

• Implement frameworks for ensuring third-party data center partners and general contractors adhere to commercial equipment terms and technical specifications.

• Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability.

• Proactively monitor global supply chain volatility (e.g., lead times for transformers, generators, and switchgear) and execute contingency plans to avoid critical project delays.

• Translate construction and capacity roadmaps into equipment forecasts and procurement pipelines.

• Partner with Finance to optimize inventory and capital deployment strategy.

• Establish efficient return, repair, and replacement workflows with OEMs to restore failed equipment quickly.

• Negotiate warranty, startup/commissioning support, and spare parts terms, and track vendor performance

Minimum qualifications

• Have 7+ years experience in supply chain management, sourcing, and procurement.

• Have a track record of developing processes for forecasting, planning, and managing data center electrical and mechanical equipment for build-out and/or operations.

• Are familiar with data center electrical and mechanical equipment (e.g., generators, switchgear, transformers, UPS, batteries, chillers, cooling towers, CRAHs/CRACs, pumps, CDUs).

• Possess a bachelor's degree in a relevant domain (e.g., electrical/mechanical engineering, construction management, supply chain) or equivalent practical experience.

• 10+ years experience in supply chain management, sourcing, and procurement.

• 5+ years experience in data center or critical environment infrastructure.

• Experience working with general contractors, MEP integrators, OEMs, and equipment distributors.

• Experience working on data center construction programs.

• Familiarity with liquid cooling equipment (CDUs, dry coolers, manifolds) and battery energy storage systems.

• Leadership and influencing skills.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 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.

$320,000—$405,000 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.