Technical Account Manager; HPC, ML​/AI

Responsibilities

• Own the Technical Relationship:
  Build trusted partnerships with customers, serving as their go-to contact for technical strategy, adoption, and ongoing value realization.
• Translate Needs into Solutions:
  Work closely with customers to uncover requirements for AI/ML, rendering, or simulation workloads, and translate these into practical, scalable architectures.
• Steer Program Delivery:
  Coordinate the execution of complex customer initiatives — from onboarding and resource planning through to optimization and expansion — while keeping all stakeholders aligned.
• Bridge Customers and Product Teams:
  Gather insights from the field and channel them into Product and Engineering discussions, helping steer the roadmap to better serve real-world use cases.
• Enable
  
  Collaboration:
  
  Act as the connector across internal teams (engineering, product, operations, support, sales) to ensure customers get a seamless experience.
• Anticipate and Resolve Issues:
  Identify risks before they escalate, communicate transparently, and drive swift resolution when challenges arise.
• Track Outcomes:
  Define and monitor success criteria — whether that’s performance benchmarks, adoption milestones, or customer satisfaction — and ensure customers are seeing measurable value.
• Push for Better:
  Spot inefficiencies or friction in deployments and recommend improvements that raise speed, reliability, and overall impact.

• Background: A degree in Computer Science, Engineering, or a related technical field — or equivalent hands-on experience.
• Experience: 5-7 years+ of experience in technical account management, program management, or solutions delivery, ideally in cloud infrastructure, HPC, or AI/ML contexts.
• Technical Expertise: Familiarity with cloud-native systems (containers, Kubernetes), GPU-accelerated environments, and distributed computing at scale.
• Customer Leadership: Demonstrated ability to guide executive-level technical conversations, foster alignment, and drive adoption in complex accounts.
• Program
  
  Skills:
  
  Strong organizational and execution abilities — comfortable managing multiple moving parts, dependencies, and stakeholders.
• Communication: Able to convey technical concepts clearly to a range of audiences, from engineers to executives.