Manager, Applied AI Engineering
Leads the Large Enterprise Applied AI Engineering team, overseeing technical customer engagements, production deployments, and platform adoption. The role requires extensive technical customer-facing experience, post-sales team leadership, and expertise delivering AI or ML solutions for global enterprises.
About the job
Responsibilities
- Own the strategy and operating model of the Large Enterprise Applied AI team, aligning it with company objectives and evolving customer needs.
- Lead, build, and mentor a team of high-performing Applied Deployment Engineers (ADEs) to deliver customer outcomes, including production applications and increased API adoption.
- Serve as the technical advocate for customers, synthesizing their needs to inform Research and Applied Product/Engineering roadmaps.
- Act as the primary technical escalation point during development and maintain direct communication with executive-level stakeholders.
- Champion the safe and innovative application of AI technology across industries.
Requirements
- 8+ years of experience in a technical customer-facing role managing C-level technical and business relationships with complex global organizations.
- 2+ years of experience leading technical post-sales teams, with demonstrated ability to hire, develop, and manage technical teams.
- Experience leading complex implementations of generative AI or traditional machine learning solutions into production for large enterprises.
- Knowledge of network and cloud architecture.
- Strong communication skills, with the ability to translate business and technical topics for diverse audiences and mentor others.
- Humble attitude, eagerness to help others, and willingness to learn unfamiliar topics to support the team and customers.
Work Arrangement
- Hybrid work model with 3 days per week in the office.
- Role available in London and Munich offices.
- Relocation assistance is available.
Skills
Generative AI, Machine Learning, Network Architecture, Cloud Architecture, API Integrations, Technical Leadership, Post-Sales Engineering, Customer Relationship Management
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