Technical Account Manager (HPC, ML/AI)

Career Techniques; Dallas (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Career Techniques seeks a senior technical leader to own the technical relationship with enterprise customers, guiding AI/ML, rendering, or simulation workloads from requirements to scalable architectures.

You will coordinate onboarding, resource planning, and expansion initiatives while aligning engineering, product, and operations to deliver measurable value and high adoption in complex accounts.

Qualifications

• Degree in Computer Science, Engineering, or related technical field — or equivalent hands-on experience.
• 5–7+ years in technical account management, program management, or solutions delivery, ideally in cloud infrastructure, HPC, or AI/ML contexts.
• Familiarity with cloud-native systems (containers, Kubernetes), GPU-accelerated environments, and distributed computing at scale.
• Demonstrated ability to guide executive-level technical conversations, foster alignment, and drive adoption in complex accounts.

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.

Job description

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.

Requirements

• 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.