Customer Success AI Success Architect GSI Partnership

About Anthropic

Anthropics 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

Responsibilities:

• Build trusting strategic relationships across Deloittes decision-makers to understand their business and objectives identifying opportunities for optimization and expansion
• Advise stakeholders on key technical challenges to support the optimization of their applications through deeply understanding Anthropics API capabilities methodology and prompting techniques
• Leverage your deep knowledge of Deloitte to proactively drive usage planning understanding current and future consumption and how it creates value realization for the customer
• Proactively manage capacity across internal and external stakeholders helping to define the best path forward for all parties involved across the complex compute landscape
• Serve as Deloittes thought partner enhancing their knowledge of Claude products by socializing Anthropics product roadmap driving awareness of new products and engaging with Product PMs
• Influence the development of frontier AI models by channeling customer insights directly to our Research Product and Marketing teams shaping cutting-edge AI capabilities
• Drive product partnerships forward facilitating initial discussions and supporting ongoing orchestration
• Work cross-functionally with Deloittes Account Executive Alliance team members and the broader account team to define the Customer Account Plan identifying and pursuing expansion opportunities across Deloitte

You may be a good fit if you have:

• 6 years of experience in technical customer-facing roles (Technical Account Management Solutions Architect Solutions Consultant Success Engineer or similar)
• Proven track record driving success with Deloitte or other GSIs (e.g. Accenture IBM Cognizant TCS etc.) and Consulting Firms (McKinsey & Company Boston Consulting Group and Bain & Company)
• Technical acumen with understanding of APIs integration concepts and software development principles
• Experience explaining and demonstrating technical products to various audiences
• Understanding of LLMs and AI technologies with ability to guide complex Enterprise organizations on optimization best practices
• Track record of driving technical adoption and consumption in enterprise environments
• Excellent ability to translate technical concepts for various audiences from developers to executives
• Strong project management skills and ability to manage multiple stakeholder relationships

Deadline to apply:None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 were 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. Were 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. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process