Scout Global
Director Program Management
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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.
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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.
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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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