Full-Time

Procurement Business Partner

Operations

Anthropic

Anthropic

5,001-10,000 employees

Develops reliable, interpretable AI systems

Compensation Overview

€140k - €170k/yr

Dublin, Ireland

Hybrid

Location-based hybrid policy: must be in an office at least 25% of the time.

Category
Operations & Logistics (1)
Required Skills
NetSuite
Power BI
SQL
Tableau
Coupa
Looker
Excel/Numbers/Sheets
Requirements
  • 7-10 years in procurement operations, strategic sourcing, or category management
  • Demonstrated experience managing procurement across multiple geographies and navigating EMEA contracting, compliance, and vendor structures
  • Hands-on experience in Real Estate & Workplace procurement or Professional Services (Big 4 consulting, advisory, audit, legal)
  • Experience with Zip, NetSuite, Coupa, or similar procurement platforms
  • Track record of independently leading complex vendor negotiations
  • Strong skills in Excel/Google Sheets; experience with basic SQL or BI tools (Looker, Tableau, Power BI) for vendor and spend analysis
  • Excellent written and verbal communication skills; ability to work effectively across time zones and cultural contexts
  • Understanding of financial controls, vendor risk management, and procurement compliance requirements in EMEA contexts
Responsibilities
  • Own end-to-end procurement operations for all EMEA purchasing, from intake and sourcing through negotiation, contracting, and ongoing vendor management
  • Serve as the primary procurement point of contact for EMEA offices, ensuring consistent procurement practices and compliance across geographies
  • Manage vendor onboarding, purchase requisitions, contract management, and spend analysis for EMEA spend
  • Navigate EMEA contracting requirements including local regulatory compliance, currency considerations, tax implications, and cross-border vendor structures
  • Champion Zip adoption and compliance for EMEA business partners; drive workflow improvements and self-service enablement
  • Ensure PO hygiene, timely receipting, and clean metadata that supports invoice matching, reporting, and financial controls
  • Support month-end close activities including accrual submissions and PO reconciliation for EMEA spend
  • Lead strategic sourcing initiatives across EMEA categories with particular focus on Real Estate & Workplace (office buildouts, facilities management, FF&E) and Professional Services (Big 4 advisory, audit, consulting, legal)
  • Develop and execute category strategies that balance cost optimisation, quality, and local market dynamics
  • Conduct market intelligence and benchmarking across EMEA markets to inform sourcing decisions and ensure competitive pricing
  • Lead complex vendor negotiations independently, structuring deals that account for local market conditions while protecting Anthropic's financial interests
  • Build and maintain preferred-vendor frameworks for key EMEA categories, driving consolidation and leverage where appropriate
  • Manage RFP processes for major EMEA engagements
  • Serve as the embedded procurement partner to EMEA teams across Workplace, Finance, Legal, People, and other functions
  • Partner with Legal, Security, TPRM, and Finance to ensure EMEA vendor engagements meet compliance and risk requirements across jurisdictions
  • Translate complex sourcing and financial concepts for non-procurement stakeholders; build trust through responsiveness and results
  • Proactively surface risks, savings opportunities, and vendor performance insights to business owners
  • Collaborate with the US-based Procurement team to ensure alignment on global vendor strategies and procurement standards
  • Develop procurement documentation, training materials, and best practice guides tailored to EMEA operations
Desired Qualifications
  • Experience in technology or AI/ML companies
  • Background in EMEA or EMEA office buildout procurement
  • Experience with Big 4 or major professional services firm engagement management
  • Familiarity with cloud infrastructure procurement (AWS, GCP, Azure)
  • Experience supporting month-end close processes (accruals, PO reconciliation)
  • CPSM, CSCP, CIPS, or other relevant procurement certifications
  • Experience at hyper-growth or high-growth technology companies

Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.

Company Size

5,001-10,000

Company Stage

Late Stage VC

Total Funding

$77.3B

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Japan's megabanks access Claude Mythos by May 2026 end for operations.
  • Launched 12 legal plugins May 12, 2026, attracting 20,000 professionals.
  • Thomson Reuters integrates Claude with CoCounsel for 1 million users summer 2026.

What critics are saying

  • Japan FSA working group delays Mythos banking deployments within 3-6 months.
  • Voided Forge and Hiive trades trigger Delaware litigation in 6-12 months.
  • EU AI Act audits halt Claude Mythos European sales by Q3 2026.

What makes Anthropic unique

  • Anthropic pioneers Constitutional AI and RLHF for model alignment.
  • Responsible Scaling Policy mandates safety thresholds before deployments.
  • Claude Platform on AWS operates independently outside hyperscaler boundaries.

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Your Connections

People at Anthropic who can refer or advise you

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

1%
Ars Technica
Apr 21st, 2026
Mozilla: Anthropic's Mythos AI model finds 271 zero-day bugs in Firefox 150

Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.

Bloomberg L.P.
Apr 21st, 2026
Anthropic's Mythos AI sparks fear and hope over cybersecurity threats to global finance

Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.

Bloomberg L.P.
Apr 17th, 2026
Indian fintechs push Anthropic for early access to 'dangerous' Mythos AI model

Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.

Bloomberg L.P.
Apr 16th, 2026
US government prepares to give federal agencies access to Anthropic's Mythos AI model

The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.

Bloomberg L.P.
Apr 16th, 2026
Anthropic's Mythos AI model raises cybersecurity alarms for banks and governments

Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.