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Contracts Manager

AnthropicSan Francisco, California, United StatesOnsite

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


We are seeking a highly qualified Contracts Manager to support procurement across Anthropic. We’ll rely on you to help review, draft and negotiate procurement contracts to support our cutting-edge AI systems, build scalable contracting processes, and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams.

Responsibilities: 


  • Lead the full procurement contract lifecycle, from initial vendor engagement through contract execution and renewal
  • Draft, review, and negotiate procurement-focused agreements including master service agreements, statements of work, purchase orders, and vendor agreements
  • Develop and maintain procurement contract templates and standard terms to ensure consistency and efficiency
  • Manage vendor relationships and maintain contract documentation within our contract management system
  • Support contract tracking, reporting, and renewal management within our contract management system
  • Implement and optimize procurement contract processes to improve operational efficiency
  • Partner with internal stakeholders to gather requirements and ensure procurement contracts meet business needs

You may be a good fit if you have:


  • 5+ years of related contract management experience, with at least 3 years of experience working directly in procurement
  • Strong knowledge of procurement agreements including master service agreements, statements of work, SaaS agreements and purchase agreements
  • Excellent attention to detail and ability to manage multiple concurrent contract negotiations
  • Exceptional communication skills with ability to explain contract terms clearly to non-legal stakeholders

Strong candidates may also have:


  • Genuine interest in technology development and AI, with a desire to work in a fast-paced, innovative environment

Deadline to apply: 

None. Applications will be reviewed on a rolling basis. 

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco at least 3 days a week though we encourage you to apply even if you might need some flexibility for an interim period of time.
The expected salary range for this position is:Annual Salary:$170,000—$220,000 USD

Logistics


Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.
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.

How we're different


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.

Come work with us!


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.

Life at Anthropic

Anthropic PBC is a U.S.-based artificial intelligence (AI) startup company, founded in 2021, researching artificial intelligence as a public-benefit company to develop AI systems to “study their safety properties at the technological frontier” and use this research to deploy safe, reliable models for the public. Anthropic has developed a family of large language models (LLMs) named Claude as a competitor to OpenAI’s ChatGPT and Google’s Gemini.
Thrive Here & What We Value1. Mission-driven organization focused on creating safe and beneficial AI systems2. Collaborative team working towards long-term goals of steerable, trustworthy AI3. Emphasis on impact rather than smaller puzzles4. View AI research as an empirical science with physics and biology parallels5. Values communication skills and frequent research discussions to ensure highest-impact work6. Believes in big science approach to AI research7. Collaborative group that values impact over smaller puzzles8. Emphasizes collaboration and alignment across internal teams9. Commitment to creating reliable, interpretable, and steerable AI systems10. Values representation and diverse perspectives on the team.</s>
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