Senior Product Manager, AI Factories Provisioning and Orchestration

About DriveNets

DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.

The Role

DriveNets is seeking a Senior Product Manager to lead provisioning and orchestration for AI Factories – the software that takes a GPU cluster from racked hardware to a validated, multi-tenant production environment, and keeps it there. You will own the end-to-end lifecycle experience across network fabric, GPU servers, and NICs, and you will set the direction for how customers stand up and operate AI infrastructure at the scale of tens of thousands of GPUs.

As the Senior Product Manager for AI Factories Provisioning and Orchestration, you will define the vision and multi-year roadmap for the orchestration platform, and act as the senior product voice for orchestration across DriveNets.

You will join the AI Factories Orchestration product team, a dedicated software product group within DriveNets Product Management. This is a software product role: you will own a platform that customers run every day, with APIs, workflows, user experience and integrations at its core. You will partner with hyperscalers, NeoClouds, and enterprises building AI/HPC GPU clusters, and your work will directly determine how fast they can bring GPUs into service and how much useful work they get out of them.

Responsibilities

• Define the vision and multi-year roadmap for AI Factory lifecycle management: day-0 design and planning, day-1 zero-touch provisioning and bring-up, and day-2 operations, upgrades, and expansion.
• Own the intent-based orchestration model: a single source of truth for topology, inventory, and desired state, with automated configuration rendering, drift detection, and closed-loop reconciliation.
• Drive cluster bring-up and acceptance workflows – cabling validation, firmware and OS image management, burn-in, and automated fabric and collective-communication (NCCL/RCCL) performance testing – to shrink time-to-first-job.
• Define multi-tenancy and isolation capabilities, so that NeoClouds and enterprises can carve the fabric into secure tenant environments that follow GPU allocation.
• Own non-disruptive change management: staged rollouts, canary upgrades, maintenance windows, and rollback at fabric scale.
• Represent orchestration in executive customer meetings, strategic deals, analyst briefings, and industry forums.
• Own the product strategy, roadmap, and backlog for your area, and translate customer problems into clear PRDs, user stories, API specifications, and acceptance criteria for engineering teams working in agile delivery.
• Run continuous discovery with hyperscalers, NeoClouds, and enterprise customers: interview operators and platform teams, map their day-0/1/2 workflows, and turn the patterns into prioritized product requirements.
• Design northbound APIs (REST/gRPC, OpenAPI) and SDKs so the platform can be consumed programmatically by customer portals, cloud control planes, and automation pipelines – not only through a UI.
• Drive integrations with the AI infrastructure ecosystem, such as Kubernetes, Slurm, NVIDIA Base Command Manager / Mission Control, Run:ai, NetBox, ServiceNow, and observability stacks.
• Define and track product success metrics such as time-to-first-job, GPU utilization, mean time to resolve, adoption, and customer satisfaction.
• Lead demos and proof-of-concepts with customers, and support sales, solution architects, and customer success in strategic engagements.
• Create external content – white papers, technical briefs, blogs, conference talks – that balances technical accuracy with clear messaging.

What we need to see

• Mandatory: daily, hands-on use of AI agentic tools (e.g., Claude / Claude Code, Cursor, ChatGPT / Codex, GitHub Copilot) as a core part of how you work – for research, writing PRDs and specs, data analysis, prototyping, and automating your own workflows. Be ready to show us how you use them.
• 10+ years in the technology industry, with at least 5 years as a product manager for B2B infrastructure software (orchestration, automation, cloud platforms, network management, or DevOps tooling).
• Proven track record of taking a complex infrastructure software platform from concept to market and through its full lifecycle.
• Strong understanding of infrastructure lifecycle workflows: provisioning, configuration management, software upgrades, and validation.
• Proven experience writing clear product requirements for software platforms, with APIs as a first-class part of the product.
• Strong, hands-on understanding of cloud-native software architecture – Kubernetes, containers, microservices, and distributed systems – with a proven ability to drive design trade-offs with engineering.
• Solid understanding of AI infrastructure: GPU cluster architecture, how training and inference workloads use compute, network, and storage, and what drives GPU utilization and job reliability.
• Strong data-driven decision making, with a proven ability to define success metrics and act on product analytics.
• Clear written and verbal communication, with the ability to work with executives, engineers, and customers alike.
• Ability to manage shifting priorities in a fast-paced environment and to work with teams across geographies.
• Travel as needed.

Ways to stand out from the crowd

• Hands-on experience with zero-touch provisioning, inventory / source-of-truth systems (e.g., NetBox), and intent-based automation with drift detection.
• Experience with bare-metal and cluster lifecycle tools such as NVIDIA Base Command Manager, Metal³, OpenStack Ironic, MAAS, or Redfish-based server management.
• Experience with network automation and intent-based platforms such as Arista CloudVision, Juniper Apstra, Cisco Nexus Dashboard, or NVIDIA NetQ / UFM.
• Familiarity with AI Factory reference architectures (e.g., NVIDIA DGX SuperPOD / NCP, AMD reference designs).
• Familiarity with data center networking: leaf/spine and Clos topologies, BGP/EVPN-VXLAN, RoCEv2, and AI scale-out / scale-up fabrics (Ethernet, UEC, InfiniBand, NVLink).
• Hands-on experience with infrastructure-as-code and DevOps tooling: Terraform, Ansible, Helm, GitOps, CI/CD.
• Familiarity with observability and telemetry: Prometheus, Grafana, OpenTelemetry, streaming telemetry (gNMI/gRPC).
• Experience at a Tier-1 cloud (AWS, Azure, GCP, OCI), a NeoCloud, or a company building infrastructure management software.
• Experience building AI-assisted features (copilots, natural-language queries, AIOps) into an operations product.

Education

BS/MS in Computer Science, Computer/Electrical Engineering, or another engineering field, or equivalent experience.

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.

More About DriveNets

Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website:

DriveNets is an equal opportunity employer. We do not discriminate based upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.