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Salary: USD 205,000 - 0 / annual
Anthropic is seeking a Strategy & Operations professional to join the Product Partnerships team. In this role, you will own the analytical foundation for how Anthropic evaluates data and product partnerships, building valuation frameworks that guide investment decisions and supporting deal leads through negotiations.
Key responsibilities include developing and maintaining valuation models, partnership evaluation frameworks, and ROI analyses. You'll serve as the internal expert on partnership spend, historical transactions, and forward planning. You'll review inbound proposals from partners and provide deal leads with defensible analytical perspectives grounded in data. You'll also develop negotiation strategies and support partnership managers in structuring novel partnership arrangements.
Operationally, you'll design scalable systems and processes to enable team growth, build dashboards and reporting infrastructure to track portfolio health, deal pipeline, spend, usage, and key metrics. You'll optimize the partnership lifecycle from sourcing through delivery and feedback loops, and serve as a liaison between Partnerships, Research, Product, and Finance teams.
Ideal candidates have 5+ years in management consulting, investment banking, private equity, venture capital, or internal strategy/operations at a technology company. You should have exceptional analytical skills, advanced financial modeling proficiency, and the ability to build models from the ground up. Strong interpersonal skills are essential—you'll influence and align diverse stakeholders across research, product, partnerships, finance, and legal.
You thrive in ambiguity, can pivot seamlessly between high-level strategy and detailed analysis, and take full ownership of workstreams from question to decision. You have good judgment, form opinions backed by data, and remain open to updating them as new information emerges. You ramp quickly on unfamiliar subject matter and build processes from 0 to 1, leaving behind frameworks others can execute independently. You reach for AI by default when facing repetitive analysis, preferring to build tooling rather than grind through work manually.
