
501 - 1000 employees
📡 Telecommunications
☁️ SaaS
🤖 Artificial Intelligence
Telecommunications • SaaS • Artificial Intelligence
AppLogic Networks is a software company that provides hyperscale application classification and network observability solutions for service providers and enterprises. Using machine learning-driven application classification, dynamic content categorization, and analytics across data and control planes, AppLogic helps operators monitor subscriber experience, optimize capacity, and monetize network traffic. The company focuses on telecom and cloud environments (5G, mobile, fixed, cable, satellite, and interconnect hubs) and offers software-only products designed to improve decision-making, reduce costs, and deliver App QoE insights while emphasizing responsible, privacy-aware operations.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
📡 Telecommunications
☁️ SaaS
🤖 Artificial Intelligence
Telecommunications • SaaS • Artificial Intelligence
AppLogic Networks is a software company that provides hyperscale application classification and network observability solutions for service providers and enterprises. Using machine learning-driven application classification, dynamic content categorization, and analytics across data and control planes, AppLogic helps operators monitor subscriber experience, optimize capacity, and monetize network traffic. The company focuses on telecom and cloud environments (5G, mobile, fixed, cable, satellite, and interconnect hubs) and offers software-only products designed to improve decision-making, reduce costs, and deliver App QoE insights while emphasizing responsible, privacy-aware operations.
• Own the complete product lifecycle from market discovery and strategy through launch, commercialization, and ongoing optimization • Develop 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 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 • Influence products that power modern cloud ecosystems and shape the future of networking, observability, and AI operations
• 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, or 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 • Preferred: experience with AI/ML platforms, developer tools, orchestration technologies, or GPU cloud environments • Preferred: 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, and 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
• Remote work arrangement • Opportunity to collaborate with industry-leading customers • Opportunity to influence products powering modern cloud ecosystems • Opportunity to shape the future of networking, observability, and AI operations at global scale
Apply Now🔥 29 minutes ago
Principal product architect unifying product strategy and architecture for Humana's CenterWell healthcare segments. Guiding Azure-based platforms, interoperability, governance, and agentic AI across pharmacy, clinical, home, and military health.
🇺🇸 United States – Remote
💵 $172.2k - $236.9k / year
⏰ Full Time
🔴 Lead
✅ Product Manager
🦅 H1B Visa Sponsor
🔥 4 hours ago
Product Manager defining AI strategy and roadmap for HealthEdge’s HealthRules Payer healthcare administration platform. Driving compliant AI capabilities across claims, enrollment, benefits, and contract-management workflows.
🇺🇸 United States – Remote
💵 $132k - $141k / year
⏰ Full Time
🟠 Senior
🔴 Lead
✅ Product Manager
🦅 H1B Visa Sponsor
🔥 13 hours ago
Principal Product Manager launching S&P Global’s private credit valuations software. Defining strategy, leading development, and driving user adoption across private markets.
🕒 Yesterday
Group Product Manager leading enterprise AI solutions for Fortune 500 customers at Unframe. Managing Product Managers and driving 0→1 products from customer problem discovery through production deployment.
🕒 2 days ago
51 - 200
🏥 Healthcare
📚 Education
⚕️ Healthcare Insurance
Digital Product Owner advancing AACN's nursing organization digital experiences and annual critical-care conference products. Leading strategy, roadmaps, Agile delivery, launches, and continuous optimization.