Strategic Sourcing Business Partner, R&D Operations (AI)

Location: San Francisco, CA or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time. Visa sponsorship is available, subject to role and candidate eligibility.

Annual salary: $190,000–$230,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own commercial redlines, templates, renewals, contract data, and negotiation strategy for human data operations and R&D services agreements.
• Lead pricing and commercial negotiations, including deal structures, SLAs, volume commitments, and executive alignment.
• Design pricing models such as per-unit, per-hour, capacity, tiered, and committed-volume structures.
• Build competitive vendor coverage through RFPs, qualified second sources, flexible contracts, and benchmarked pricing.
• Manage QBRs, scorecards, SLA enforcement, escalations, and vendor remedies for mission-critical suppliers.
• Partner with Legal, Finance & Strategy, Security, TPRM, Procurement Operations, and R&D leadership on risk, budgets, forecasts, compliance, and value creation.

Requirements

• 7+ years of experience in strategic sourcing, category management, vendor management, or commercial negotiations, primarily across services categories.
• Hands-on experience redlining MSAs and SOWs, creating templates and fallback positions, and identifying commercial value in pricing, volume commitments, termination rights, SLAs, IP, and data terms.
• Experience personally leading multi-million-dollar services negotiations to strong outcomes.
• Strong analytical skills in rate and unit-cost analysis, total-cost-of-ownership modeling, and pricing model design.
• Experience managing services vendors through SLAs, scorecards, QBRs, escalations, security, compliance, and audit requirements.
• Bachelor’s degree or equivalent education, training, and relevant experience; fluency with AI tools in daily work.

Nice to have

• Experience with human data, data labeling, annotation, evaluation, BPO, outsourced operations, lab services, robotics, or technical research services.
• Experience at a hypergrowth company or building sourcing coverage, templates, playbooks, benchmarks, and vendor performance programs from scratch.
• Familiarity with confidentiality, data-handling, and IP terms for research and data vendors.
• Experience using AI to improve sourcing workflows, negotiations, and vendor relationships.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and long-term impact.
• Flexible working hours and an office environment designed for collaboration.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Frequent research discussions and emphasis on clear communication.