Anthropic · San Francisco
Sales & Businessposted 3w ago
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.
Anthropic's Beneficial Deployments team works to bring Claude to high-impact areas such as global health, life sciences, education and economic mobility, largely through partnerships with the organizations already working in those fields. Many of those partnerships involve data or product partnerships to bring Beneficial Deployment impact to bear. The Strategic Data Partnerships team is responsible for structuring and closing those agreements, and we are hiring a business development lead dedicated to this work.
You will support the deal work from ideation through signature: scoping what a partner and Anthropic actually want to do together, designing a structure that works for both sides, negotiating the terms and making sure we honour them afterwards. You will work every day with the Beneficial Deployments partner managers who own these relationships, with our legal team, and with the research and product teams who will put the data or the integration to use.
This is not a sales role. It is a deal-making role for someone who enjoys structuring strategic business development, is comfortable with deal strategy & operations, and wants that work to matter beyond the commercial outcome.
Structure and close partnerships. Work with our partner managers and legal team to establish early what a proposed partnership involves – who the partner is and what the scope of the agreement should be – and help decide what to pursue, what to reshape and what to decline.
Work alongside legal and partner managers. Partner with partner managers & commercial counsel on structure and risk, and help turn recurring deal patterns into standard structures so that we can move quickly and consistently.
Keep everyone informed. Maintain a clear, current view of the partnership pipeline and communicate status across Beneficial Deployments, legal, research and product.
Non-negotiable
You care about the public-benefit nature of this work.
8+ years of experience, most of it negotiating and closing agreements – business development, strategic partnerships, licensing, data or content deals, corporate development or comparable. We are looking for a deal-making background rather than a sales one.
You have personally led deals from term sheet through signature, including agreements that didn't fit a standard template.
You are comfortable negotiating complex terms related to rights, use restrictions, privacy and security obligations – and working closely with lawyers on both sides of a deal.
You have a track record of working cross-functionally, especially with legal teams and with colleagues who own a relationship or program, and you are effective as the business collaborator in that setting.
You can carry many agreements at once, keep track of what was agreed and stay organized without much structure around you.
You exercise good judgment: you are comfortable saying no or proposing a different shape for a deal, and you can operate with incomplete information.
Nice to have
Experience working with nonprofits, foundations, multilateral organizations, universities, health systems or governments as counterparties
Familiarity with health, education or research data and the frameworks that govern it
An understanding of how AI models are developed and evaluated, and of product integrations and APIs
Prior experience at an AI lab, a platform company or a data business
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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.