Manager, Applied AI Engineering (Enterprise)

Job summary

Responsibilities

Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer environments.

• Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or…
• Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments.
• Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions.
• Have experience taking AI, machine learning, or other technically complex systems from prototype to production.
• Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.