Customer Success: AI Success Architect - GSI Partnership at ANTHROPIC PBC DBA ANTHROPIC INC

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

270000.0

Posted On

03 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Technical Customer-Facing Roles, Solutions Architect, APIs, Integration Concepts, Software Development Principles, LLMs, AI Technologies, Project Management, Stakeholder Management, Technical Adoption, Business Acumen, Technical Expertise, Deloitte, Claude Products, Product Roadmap, Customer Insights

Industry

Research Services

Description

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 Join Anthropic's Customer Success team in a groundbreaking role as we scale enterprise AI adoption through strategic Global Systems Integrator (GSI) partnerships. As our dedicated AI Success Architect for Deloitte LLP, you'll be the strategic technical advisor embedded within one of the world's largest professional services organizations, helping them harness the full potential of our Claude frontier models and developer platform to build successful AI applications. You'll leverage your ability to navigate highly matrixed organizations, developing genuine partnerships across Deloitte's multiple practices, geographies, and stakeholder groups, gaining a thorough understanding of their business goals, strategic direction, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. Partnering with Deloitte's technology teams, practice leaders, and client-facing practitioners to identify the right Claude capabilities for their specific use cases, supporting them as their usage grows and evolves, and serving as a vital bridge between Deloitte and our internal teams. The insights you gather will directly inform our research priorities, product development, and GSI partnership strategies—making you a key voice in shaping how we build and deliver ongoing value. Responsibilities: Build trusting, strategic relationships across Deloitte's 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 Anthropic's 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 Deloitte's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's 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 Deloitte's 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. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $255,000—$270,000 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Responsibilities

Build strategic relationships with Deloitte's decision-makers to understand their business objectives and identify opportunities for optimization. Advise on technical challenges and support the growth of AI application usage through a deep understanding of Anthropic's capabilities.