Manager of Product Engineering

About the role:

As the manager of the Product Engineering, Applied AI team at Anthropic, you will work with some of the largest Enterprise businesses driving the adoption of frontier AI by developing bespoke LLM solutions for these companies. 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 be responsible for leading & growing the Product Engineer, Applied AI team, establish processes and best practices for your segment’s 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 companies 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 Applied AI Product Engineers and other technical GTM resources supporting Enterprises providing both technical guidance and career development
• Invest in enablement processes for the product engineering organization: creating onboarding materials & fostering an environment of continuous improvement
• Partner closely with your aligned GTM leadership to understand customer requirements & build GTM strategies to drive increased market share & adoption for the Digital Natives space
• Set goals and reviews for your team, promoting growth and output
• Work with Digital Native businesses on their advanced application of LLMs and provide technical guidance on integration, deployment, and adoption best practices
• Lead and support the team in complex evaluations, problem solving and challenging customer environments
• 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 and to Digital Native Enterprises focused user groups & industry events
• 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:

• 5+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, or Solutions Architect 
• 3+ years of customer-oriented engineering management role
• Experience building and operating AI-native products
• Have experience working with Digital Native Enterprise Customers
• 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
• 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.