Senior Product Manager - Autonomous Networks

Drivenets•Middletown, NJ

19h•Remote

About The Position

DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. THE ROLE DriveNets is seeking a Product Manager focused on Network Automation to be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industry’s best as we partner with some of the largest Internet Service Providers, shaping the future of connectivity. Our environment fosters creativity, teamwork, and growth, offers you the opportunity to make a meaningful impact while working on groundbreaking projects. This is a platform product role, not a task-automation role. The right candidate understands how to turn real telecom operations needs into reusable product foundations: intent and policy models, lifecycle orchestration, service and topology context, assurance, observability, troubleshooting, remediation, and continuous verification. You know what operations teams want from an autonomous networks tool: lower manual toil, safer changes, faster activation, lower MTTR, better service visibility, and automation they can trust in production. You also understand how Tier 1, Tier 2, and Tier 3 telecom operators differ in scale, staffing, process rigor, brownfield complexity, integration realities, and economic pressure—and how those differences should shape product strategy, UX, deployment approach, and autonomy boundaries. The successful candidate will not only define AI-enabled product capabilities for operators, but will also operate as an AI-native product leader, using modern AI tools and workflows to accelerate discovery, requirements, prioritization, decision-making, and execution.

Requirements

15+ years of experience in telecom/networking, including substantial experience working with or for communications service providers, major network vendors, or telecom software platforms.
Proven experience in product management, product architecture, or platform ownership for network automation, OSS/NMS, service orchestration, service assurance, or autonomous operations products
Demonstrated success converting operator workflows into scalable product capabilities rather than custom delivery artifacts or point integrations
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 automation platforms to market, overseeing the entire product lifecycle.
Basics of network change management, incident management, fault isolation 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.
Strong understanding of operator workflows across incident management, problem management, change control, maintenance operations, compliance, and post-change verification
Strong knowledge of model-driven and programmable network management, including APIs, YANG/OpenConfig, gNMI, NETCONF/RESTCONF, streaming telemetry, and event-driven integration patterns
Experience defining or building AI/ML/LLM-enabled product capabilities for technical users, such as copilots, guided investigations, summarization, recommendation, or workflow acceleration

Nice To Haves

Knowledge and experience with AI-related projects, large language models, and strategic initiatives, leveraging AI to enhance product capabilities and competitiveness is a plus.
CCNP-RS / JNCIP-ENT or equivalent hands-on experience
CCNP-SP / JNCIP-SP or equivalent hands-on experience
CCIE-RS(ENT) / JNCIE-ENT or equivalent hands-on experience
CCIE-SP / JNCIE-SP or equivalent hands-on experience
ITILv3 F: Information Technology Infrastructure Library V3
Masters/Bachelor of Engineering or Diploma in Computer Engineering or other technical discipline

Responsibilities

Work as a key member of the Network Automation Product Management team which continues to adopt and expand the daily use of modern AI tools while creating workflows to accelerate customer insight synthesis, PRD and epic authoring, backlog shaping, roadmap scenario analysis, competitive intelligence, release readiness, and product analytics—driving faster execution and higher-quality product decisions.
Own the product vision, strategy, and roadmap for DriveNets’ automation and autonomy capabilities across Day 0, Day 1, Day 2, and ongoing network operations.
Define the core product foundations required for an autonomous operations platform, including:
Intent and policy models
service and resource models
topology and dependency context
state reconciliation
workflow orchestration
assurance and observability
remediation and outcome verification
Define the data and context layer needed for autonomy and AI to operate safely and accurately, including inventory, topology, service context, telemetry, alarms, events, policies, historical actions, and operational outcomes
Define the product’s autonomy model: when the system should recommend an action, when it should require operator approval, and when it can act automatically within policy guardrails
Shape AI-native operator experiences, including:
AI-assisted troubleshooting
guided root-cause analysis
anomaly detection
recommendation engines
natural-language investigation and workflow execution
explainable remediation with clear guardrails and audit trails
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.