Director of Technical Program Management
Kubernetes and AI Infrastructure Platform
Salary £150,000 - £160,000 plus bonus
Location UK Remote
ABOUT THE ROLE
The organisation is seeking a hands‑on Director of Technical Program Management to lead strategic customer deployments and drive execution across Kubernetes and GPU PaaS platform initiatives. This is a highly visible leadership role responsible for overseeing complex enterprise implementations while remaining deeply engaged in technical delivery, customer architecture discussions, and cross‑functional execution.
The ideal candidate combines strong program leadership with deep technical expertise in Kubernetes, cloud infrastructure, GPU/AI workloads, and enterprise platform delivery. This leader will act as a trusted advisor to customers and internal teams, driving successful onboarding, modernization, migration, and adoption initiatives across large‑scale enterprise environments.
Unlike a traditional people‑management‑only director role, this position requires hands‑on involvement in technical project execution, customer solutioning, escalation management, and operational leadership.
TOP 3 REQUIRED SKILLS / EXPERIENCE
* Proven leadership managing complex enterprise technical programs and customer‑facing implementations in cloud, Kubernetes, AI/ML, or infrastructure environments.
* Deep technical expertise in Kubernetes, GPU workloads, cloud platforms, containers, and modern infrastructure architectures.
* Strong executive communication and stakeholder management skills with the ability to influence customer leadership, engineering teams, and cross‑functional partners.
RESPONSIBILITIES
* Lead and oversee strategic customer implementations for Kubernetes and GPU PaaS platform offerings across EMEA.
* Serve as the primary technical program leader for large‑scale onboarding, migration, modernization, and platform adoption initiatives.
* Drive program execution across multiple concurrent enterprise engagements while maintaining hands‑on involvement in technical planning and delivery.
* Partner directly with customer engineering, platform, infrastructure, DevOps, and executive stakeholders to define scope, align priorities, and ensure successful outcomes.
* Lead customer discovery workshops, architecture reviews, technical planning sessions, and implementation governance.
* Collaborate closely with Product, Engineering, Customer Success, Pre‑Sales, and Partner teams to align delivery priorities and remove execution blockers.
* Provide technical leadership and guidance around Kubernetes, GPU infrastructure, cloud‑native architectures, AI/ML platform deployments, hybrid cloud, and multi‑cloud implementations.
* Establish scalable delivery processes, implementation methodologies, operational best practices, and program governance frameworks.
* Own program risk management, escalation handling, dependency tracking, and executive‑level communication throughout the delivery lifecycle.
* Drive accountability across internal and external teams to ensure projects are delivered on time, within scope, and aligned with customer expectations.
* Act as a senior escalation point for complex customer issues, deployment challenges, and critical implementation risks.
* Mentor and guide TPMs, solutions architects, and technical delivery resources while helping scale the customer delivery organisation.
* Maintain hands‑on familiarity with supporting technologies including observability, DevSecOps, CI/CD, GitOps, FinOps, GPU orchestration, and cloud infrastructure tooling.
* Contribute to strategic initiatives that improve customer onboarding, operational efficiency, deployment automation, and overall customer experience.
QUALIFICATIONS
Required
* Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
* 10+ years of experience in technical program management, technical project management, cloud infrastructure, or enterprise software delivery.
* 5+ years leading complex enterprise customer deployments involving Kubernetes, cloud‑native technologies, infrastructure modernization, or AI/ML platforms.
* Strong hands‑on technical expertise with Kubernetes, containers, cloud platforms (AWS, Azure, GCP), networking, infrastructure, and distributed systems.
* Experience leading cross‑functional technical teams in fast‑paced startup or high‑growth technology environments.
* Strong understanding of enterprise architecture, cloud operations, infrastructure scalability, and modernization initiatives.
* Proven ability to communicate effectively with executives, architects, engineers, and customer stakeholders.
* Experience managing multiple concurrent programs with complex dependencies and executive visibility.
* Preferred certifications include PMP, AWS Solutions Architect, CKA/CKAD, or equivalent cloud/Kubernetes credentials.
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