Full-Time
Procurement Operations Business Partner
Infrastructure & Operations
Posted on 10/4/2025
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$190k - $230k/yr
H1B Sponsorship Available
San Francisco, CA, USA
Hybrid
Currently, we expect all staff to be in one of our offices at least 25% of the time.
 Operations & Logistics (1) |
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- Strategic sourcing methodology expertise
- Contract negotiation & management for complex technology agreements
- Market research & analysis capabilities
- Executive-level communication and presentation skills
- Financial modeling for strategic sourcing decisions
- Supplier relationship management at strategic level
- Develop comprehensive sourcing strategies for R&D categories including compute infrastructure, cloud platforms, human data annotation, research software, and emerging AI technologies
- Conduct market analysis and competitive intelligence to identify optimal supplier strategies and emerging opportunities
- Create total cost of ownership models for complex R&D technology investments and strategic partnerships
- Build and manage strategic partnerships with key technology suppliers including cloud providers, GPU manufacturers, research platform vendors, and data annotation services
- Negotiate complex, multi-year agreements that optimize cost, innovation, and strategic value
- Establish supplier innovation programs and collaboration frameworks to accelerate R&D capabilities
- Lead sophisticated RFP processes for high-value, complex technical infrastructure and services
- Manage strategic contract negotiations including master agreements, enterprise partnerships, and innovation collaborations
- Develop supplier performance management frameworks and strategic scorecards
- Continuously monitor emerging technologies, supplier capabilities, and market trends relevant to AI/ML research
- Identify opportunities for strategic supplier partnerships that drive competitive advantage
- Evaluate and onboard innovative suppliers that can accelerate research capabilities
- Partner with Product leadership to align sourcing strategies with research roadmaps and technical objectives
- Collaborate with Finance, Legal, and Security teams to ensure strategic sourcing supports business objectives
- Present strategic sourcing recommendations and business cases to executive leadership
- MBA or advanced degree in Business, Engineering, or related field
- Professional certifications in strategic sourcing or procurement (CPSM, CSCP)
- Experience with cloud platform strategic sourcing and enterprise-scale infrastructure agreements
- Background in human data annotation strategic sourcing and quality management frameworks
- Knowledge of AI/ML research requirements and emerging technology landscape
- Experience building strategic sourcing functions from startup through scale
- Track record of driving supplier innovation and strategic partnerships beyond traditional sourcing
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's Take
What believers are saying
- Anthropic signed $1.8B seven-year cloud deal with Akamai in 2026.
- Anthropic accesses 220,000 Nvidia GPUs via SpaceX Colossus lease.
- Anthropic fields $1tn valuation offers amid $40B annualized revenue.
What critics are saying
- Litigation erupts in 3-6 months from voiding Forge and Hiive trades.
- SpaceX reclaims GPUs in 12-24 months if Claude harms humanity.
- South Korea and Singapore regulators ban Claude in 6-12 months.
What makes Anthropic unique
- Anthropic pioneered constitutional AI to train Claude models on ethical principles.
- Anthropic operates as public benefit corporation prioritizing AI safety and reliability.
- Anthropic founded in 2021 by ex-OpenAI leaders Dario and Daniela Amodei.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↑ 1%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.
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.
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.
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.
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.