Note: The job is a remote job and is open to candidates in USA. AppLogic Networks develops software that helps network owners, service providers, and enterprises improve application performance, user experience, observability, security, and network efficiency. The Cloud Data Center Product Management Director will lead strategy and the full product lifecycle for AI infrastructure and cloud networking products, partnering with customers, engineering, architecture, sales, and business leaders to deliver scalable, commercially successful solutions.
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
Skills
- • 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
- • 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
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