Cloud Data Center Product Management Director

About the Role

Shape the future of AI infrastructure and cloud data centers at AppLogic Networks. We're building the next generation of cloud data center technologies powering some of the world's most demanding environments, including AI data centers, GPU clouds, hyperscale platforms, sovereign AI infrastructures, multi-tenant training environments, and large-scale inference platforms. We're seeking a visionary Cloud Data Center Product Management Director to transform emerging market needs into breakthrough products that redefine how cloud infrastructure is built, optimized, secured, and monetized. This is a unique opportunity for a product innovator who thrives at the intersection of technology, strategy, and customer outcomes. You will lead products from concept to commercialization, shaping solutions that help cloud providers, GPU-as-a-Service operators, enterprises, and AI infrastructure organizations unlock greater performance, efficiency, observability, and profitability.

Responsibilities

• Own the complete product lifecycle, from market discovery and strategy through launch, commercialization, and ongoing optimization.
• Develop innovative solutions for AI infrastructure networking, observability, orchestration, and operational intelligence.
• Build products that help IaaS and PaaS providers provision, manage, optimize, and monetize GPU infrastructure at scale.
• Identify customer pain points across deployment architectures, networking environments, operational workflows, and multi-tenant cloud ecosystems.
• Collaborate with strategic customers to validate ideas and transform field insights into scalable product offerings.
• Partner with Engineering and Architecture teams to design cloud-native, Kubernetes-based, and AI-ready infrastructure solutions.
• Develop compelling business cases, ROI frameworks, pricing strategies, and go-to-market plans.
• Create executive-level narratives, product positioning, launch collateral, and competitive differentiation strategies.
• Serve as a thought leader and evangelist for cloud data center innovation, AI networking, and infrastructure operations.

Requirements

You understand how cloud infrastructure operators think. You can speak confidently about utilization, capacity planning, network bottlenecks, tenant isolation, SLAs, provisioning models, operational risk, and infrastructure economics. You combine deep technical expertise with strong business acumen and can effectively influence stakeholders ranging from engineers and architects to executives and strategic customers.

Qualifications

• 3+ years of experience in Product Management or a related technical leadership role within:
  • Cloud Infrastructure Platforms
  • AI/ML Systems
  • Developer Platforms
  • B2B SaaS Solutions
  • Cloud Networking
  • GPU Cloud Infrastructure
  • Data Center Technologies
• Strong understanding of distributed systems, cloud networking, and AI scalability challenges.
• Hands-on knowledge of networking, orchestration, virtualization, infrastructure provisioning, and cloud-native platforms.
• Deep familiarity with Kubernetes, including: CNIs, Pods and Namespaces, Multi-tenant isolation, Service Meshes, Ingress/Egress Networking, Network Policies and Protocols.
• Understanding of AI traffic patterns across training, inference, agentic systems, and large-scale workloads.
• Demonstrated success launching and commercializing products in Agile environments.
• Excellent stakeholder management, communication, and executive presentation skills.

Skills

• Experience with AI/ML platforms, developer tools, orchestration technologies, or GPU cloud environments.
• Experience modernizing legacy products and transitioning solutions to cloud-native architectures.
• Knowledge of: BGP, VXLAN, VPCs, Load Balancers, InfiniBand, RoCE, RDMA, L4/L7 Traffic Management, Network Observability, East-West Data Center Architectures.
• Experience working with networking, observability, infrastructure, or security vendors serving cloud data center customers.
• BS/MS in Computer Science, Engineering, Business, or a related discipline preferred.

Benefits

This is more than a product leadership role. It's an opportunity to define how the next generation of AI infrastructure is built and operated. You'll influence products that power modern cloud ecosystems, collaborate with industry-leading customers, and help shape the future of networking, observability, and AI operations at global scale.