
Strategic Sourcing Business Partner, R&D Operations
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Job description
About the Position
Strategic Sourcing Business Partner, R&D Operations
San Francisco, CA | Seattle, WA
About Anthropic
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's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
Responsibilities
Contract Management and Templates
- Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
- Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
- Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
- Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and Commercial Strategy
- Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
- Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
- Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
- Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
- Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor Management and Value Creation
- Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
- Manage escalations between R&D teams and vendors and drive them to resolution
- Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
- Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
- Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
- Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
Requirements
- 7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
- Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
- A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
- Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
- Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
- Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
- Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
- Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
- Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Nice to Have
- Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
- Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
- Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
- Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
- Experience designing vendor scorecards, SLA frameworks, and performance management programs
- Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
- A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
We Offer
- Competitive Salary: $190,000-$230,000 USD
- 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.
- Benefits: 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.
About the Company
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.
Come work with us!
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.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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