As the leader of the Solutions Architects/Customer Engineering team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises. You'll leverage your technical skills and consultative sales experience to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. You'll also lead the team of Solutions Architects/Customer Engineers, establish processes and best practices for client engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise partners incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities:
- Manage and mentor a team of forward-deployed engineers and solutions architects, providing both technical guidance and career development
- Set goals and reviews for your team, promoting growth and output
- Work with a handful of highest-value enterprise customers on their prompting strategies. Provide technical guidance on integration, deployment, and adoption best practices
- Lead and support the team in complex evaluations, problem solving and challenging customer environments
- Partner closely with GTM leadership to understand customer requirements
- Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Establish a shared vision for creating solutions that enable beneficial and safe AI
- Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
You may be a good fit if you have:
- 10+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, or Solutions Architect
- 5+ years of engineering leadership experience, preferably in a customer-oriented engineering management role
- Have an organizational mindset and enjoy building teams in a relatively unstructured environment
- Have excellent communication, collaboration, and coaching abilities
- Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments
- Strong executive presence and ability to foster deep relationships with our customers
- Have at least a high level familiarity with the architecture and operation of large language models and/or as ML in general
- Have a working knowledge of programming in Python
- Think holistically and can proactively identify the needs of an organization
- Make ambiguous problems clear and identify core principles that can translate across scenarios
- Have a passion for making powerful technology safe and societally beneficial
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Deadline to apply:None. Applications will be reviewed on a rolling basis.