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San Francisco, California, United States
Hybrid
Available
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
Anthropic is bringing data center capacity online faster than the industry has ever attempted, and the owner-furnished equipment (OFE) that makes a site live — switchgear, transformers, UPS, generators, busway, PDUs, chillers, CDUs, air handlers, dry coolers, pumps and piping skids — is long-lead, high-value, and sits squarely on the construction critical path. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site.
We're hiring a Supply Chain Delivery Manager to own that equipment from purchase order to dock. You will be the site-facing supply chain lead for a regional portfolio of data center projects: tracking every OFE line item against the construction schedule, running factory and logistics escalations with OEMs, holding suppliers and general contractors accountable for delivery performance, and giving leadership a clear, converged picture of delivery risk across the portfolio. Your job is to make sure equipment production and delivery are never the reason a site misses its ready-for-service date.
This is a senior individual-contributor role on the Compute DC Infrastructure team, working daily with Construction, Electrical and Mechanical Engineering, Strategic Sourcing, Commissioning, and our general contractors and OEMs. It is not a category-management or negotiation role — Sourcing owns supplier strategy and commercial terms — and it is not a people-management role. The emphasis is execution: schedules, escalations, logistics, and site readiness.
Own the end-to-end OFE delivery plan for each site in your portfolio: order placement, engineering submittal/approval milestones, production slots, FAT dates, ship dates, and required-on-site (ROS) dates, integrated with the GC's construction schedule.
Engage during preconstruction with Construction, Engineering, and the GC to set OFE delivery expectations, sequence equipment arrivals to the build, and identify schedule risk before POs are cut.
Lead OFE kickoff meetings at the site level with the GC and internal construction teams, establishing points of contact, delivery windows, receiving requirements, and escalation paths.
Maintain the single source of truth for OFE status across the portfolio — a live tracker of every line item, its milestone dates, and its risk rating.
Run weekly delivery cadences with OEMs and integrators on open orders; verify production progress against committed slots rather than accepting reported dates at face value.
Act as the primary escalation point for factory slips, component shortages, FAT failures, and shipping delays; drive recovery plans (expedites, partial ships, resequencing, alternate sources) with Sourcing and Engineering.
Partner with Sourcing on corporate-level supplier escalations, bringing site-level schedule intelligence to commercial conversations.
Hold GC OFCI teams accountable for receiving, storage, and installation-readiness performance; manage the change/claim process when delivery issues affect the GC's schedule.
Plan and coordinate transportation for oversize/overweight and high-value equipment — carrier selection, route surveys, permits, crane and rigging coordination — with our logistics partners and the GC.
Manage laydown, staging, and interim storage decisions when site readiness and equipment arrival diverge; coordinate with Quality and Commissioning on receiving inspection and storage/preservation requirements.
Ensure equipment arrives complete — accessories, spares, documentation, and vendor startup support scheduled — so installation and commissioning are not delayed by missing pieces.
Identify, triage, and report delivery risks across the portfolio; propose solutions and drive decisions to protect capacity milestones.
Establish and lead recurring Capacity Delivery Reviews giving leadership converged visibility into OFE delivery status and risk by site and by equipment category.
Track delivery KPIs — on-time-to-ROS, schedule drift by supplier and category, escalation cycle time, expedite spend — and use them to surface systemic issues.
Feed lessons learned back into Sourcing (lead-time assumptions, contract delivery terms, buffer strategy) and Construction (ROS sequencing) to improve the next program.
8–12+ years in supply chain delivery, equipment expediting, construction management, or infrastructure program management on large-scale, schedule-driven construction programs.
Hands-on experience delivering power and/or cooling equipment for mission-critical facilities — transformers, switchgear, generators, UPS, busway, chillers, CDUs, air handlers — and familiarity with how those OEMs actually build and ship.
You've managed cross-functional escalations across construction teams, suppliers, and internal partners, and you know when to expedite, when to resequence, and when to escalate commercially.
Comfortable reading and influencing construction schedules (P6 or MS Project) and tying equipment milestones to them.
Strong written and verbal communication — you can turn a messy delivery problem into a one-page recommendation for leadership.
Data-fluent: you build and maintain trackers and dashboards, and you'd rather look at the numbers than trust a status email.
Thrive with high autonomy in a fast-moving, ambiguous environment; you own outcomes, not just updates.
Bachelor's degree in Supply Chain, Engineering, Construction Management, or a related field, or equivalent experience.
Experience with hyperscale or AI data center construction and OFCI (owner-furnished, contractor-installed) delivery models.
Experience supporting multiple concurrent projects (5–10+) across a regional portfolio.
Working knowledge of FAT/SAT and commissioning workflows and how equipment documentation gates them.
Heavy-haul / project logistics experience, including international freight, customs, and Incoterms.
Technical understanding of data center electrical distribution and cooling system design.
Familiarity with ERP/procurement systems and analytics tools (SQL, Power BI/Tableau, Smartsheet/Procore).
PMP, CSCP, or similar certification.
Location: [San Francisco / hybrid, or remote US near the regional portfolio?]
Travel: [up to 40%] to construction sites in the regional portfolio and to supplier factories as needed.
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.
