Strategy & Operations, Product Partnerships

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.

As a Strategy & Operations team member on the Product Partnerships team at Anthropic, you'll own the analytical foundation behind how Anthropic thinks about the value of data and product partnerships. You'll build the valuation frameworks that inform where we invest, and serve as the analytical partner to deal leads through negotiations.

Your ability to bring analytical rigor to open-ended questions, and to think broadly about the technology and content ecosystem, will serve you well in this role. This is a great fit for someone who thrives in ambiguity, can seamlessly pivot between high-level strategy and detailed analysis, and gets energy from solving problems that don't have an established playbook.

• Own the valuation frameworks used across data and product partnerships, and develop new approaches as partnerships evolve
• Build the valuation models, partnership evaluation frameworks, and ROI analyses behind partnership initiatives
• Maintain a benchmark library of comparable transactions and historical pricing, and conduct industry and competitive research to inform strategic decision-making
• Serve as the internal expert on partnership spend, historical transactions, and forward planning
• Take the team's most complex challenges from ambiguity to clarity, and prepare the analyses and recommendations to address them

• Review inbound proposals and pricing from partners, and provide deal leads with a defensible analytical view
• Partner with deal leads to develop negotiation strategies grounded in data, and support partner managers in navigating novel partnership structures

• Design scalable systems and processes that enable the team to grow impact efficiently, leveraging Claude to build them
• Build dashboards and reporting infrastructure to track portfolio health, deal pipeline, spend, usage, and key success metrics
• Optimize the partnership lifecycle: sourcing, inbound tracking, contracts, cross-functional approvals, delivery, and feedback loops
• Serve as the liaison between Partnerships, Research, Product and Finance, and work closely with xfn teams to address operational challenges

• Have 5+ years of experience in management consulting, investment banking, private equity, growth equity, venture capital, or internal strategy and operations at a technology company
• Have exceptional analytical skills and advanced proficiency in financial modeling — you can build and maintain models from the ground up, and you enjoy the craft
• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders (Research, Product, Partnerships, Finance, Legal)
• Demonstrated ability to take full ownership of a workstream and drive it independently from question to decision
• The judgment and conviction to form an opinion and defend it, paired with the openness to update it as the data evolves
• Ramp quickly on unfamiliar subject matter — you can identify what drives value in a new domain before you're an expert in it
• Build processes and systems from 0 to 1, and leave behind frameworks others can run without you
• Reach for AI by default — when facing a repetitive analysis, your instinct is to build the tooling rather than grind through it
• Are excited about Anthropic's mission to build safe, transformative AI systems

• Operating experience inside a company, not solely in an advisory or investing seat
• A track record in negotiations, deal structuring, or partnerships
• Background in data, content, or product licensing
• Demonstrated fluency with Claude or other AI tools in your daily analytical work
• Proficiency with SQL, Python, or similar
• A sense of humor!

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.

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.