Senior Product Manager AI / HPC
DriveNetsBulacan, Leyte, Philippines1 day ago
Job description10+ years of experience in the network communications industry, with at least 5 years working for or with a large data center network provider. Deep understanding of deployment flows, monitoring schemes, troubleshooting, and auto‑recovery capabilities. Knowledge of orchestrating and / or automating other data center networking router / switch vendor solutions in customer networks is desirable. Proven experience in end‑to‑end product management or in the operation of a large data center network. Skilled in developing and tailoring product offers in collaboration with cross‑functional teams such as engineering, operations, and external stakeholders and partners. Demonstrated experience in bringing network orchestration, management, and automation platforms to market, overseeing the entire product lifecycle. Knowledge and experience with AI‑related projects, large language models, and strategic initiatives, leveraging AI to enhance capabilities and competitiveness, is a plus. Knowledge in Data Center or high‑end enterprise network design and features (.g. BGP, EVPN, VXLAN, QoS, Multicast). Basics of cloud technologies and solution offerings from AWS, Azure, Google Cloud, and their related technologies like Kubernetes, Docker, and Service Meshes. Expertise in network management, incident management, fault isolation, telemetry and observability, and root cause analysis. Flexible and adaptable, able to handle a diverse set of daily activities and effectively adjust to shifting priorities in a fast‑paced environment. Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations. Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams. Ability to write extensive technical content (white papers, technical briefs, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging. Travel as needed. Low‑level technical expertise in Data Center or high‑end enterprise network design and features (e.g. BGP, EVPN, VXLAN, QoS, Multicast). Familiarity with AI‑relevant data center infrastructure and networking technologies such as Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc.), accelerated computing, GPU, NIC, DPU, etc. Understanding of AI / HPC networking infrastructure solutions, their advantages and disadvantages (AI / HPC networking design, high‑speed interconnect technologies). Scale‑up – NVLink, UALink, Scale‑up Ethernet (SUE), etc. Scale‑out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum‑X, UEC, etc.), InfiniBand. Understanding of data center operations in networking, cooling, and power. Familiarity with tools (Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc.). Proven experience with one or more Tier‑1 Clouds (AWS, Azure, GCP, or OCI) or emerging NeuClouds, as well as cloud‑native architectures and software. BS / MS / PhD in Electrical / Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
Senior Product Manager – AI / HPC Network Infrastructure Management System
DriveNets is a leader in cloud‑native networking software for hyperscalers and service providers building the largest infrastructures in the world for network services, AI platforms and SaaS offerings. Founded in December 2015, DriveNets disrupted high‑scale markets, transforming how networks are built, scaled and consumed. It has built the largest network in the world, with more than half of AT&T’s backbone running on DriveNets’ Network Cloud. DriveNets has raised $587 million in three funding rounds enabling it to bring on the most talented people.
WFH – Remote role. Must be Central or Eastern Time Zone.
We are seeking a Product Manager focused on switch network management and orchestration of AI / HPC GPU fabrics. As a key member of our Product Management team you will develop roadmap strategy and features that streamline network deployment, monitoring, troubleshooting, and more. Your work will directly impact the efficiency and performance of diverse GPU clusters, enabling operation at scale with greater uptime, utilization, and reliability.
Responsibilities
- Act as a Network Orchestration and management system expert specializing in network management, telemetry, and operations automation, providing strategic direction and expertise to enhance our orchestration capabilities for our customers.
- Design and innovate network orchestration solutions for our Network Cloud Product, focusing on streamlining GPU fabric deployments, manageability, and automation for hyperscalers, NeoClouds, and enterprise customer networks.
- Conceptualize and architect network automation and orchestration platforms, enabling end‑to‑end lifecycle management for switched and routed networks, including bootstrapping, deployment, and ongoing operational management.
- Create, manage, and present product roadmaps and technology solutions, addressing network orchestration requirements and ensuring alignment with market and customer needs.
- Collaborate closely with development teams to drive requirements for the management platform and routing and switching technologies that streamline network architecture.
- Demonstrate proof‑of‑concept solutions to customers, showcasing the value and capabilities of our offerings.
- Work effectively with sales teams and other internal groups within DriveNets to support customer engagements and drive business success.
Requirements
Ways To Stand Out From The Crowd
Education
If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.
Seniority level : Mid‑Senior level.
Employment type : Full‑time.
Job function : Product Management and Marketing.
Industries : Software Development.
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Product Manager • Bulacan, Leyte, Philippines
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