About the role

Product Manager focused on developing AI/ML-powered agents for self-driving networks. Collaborating across teams to enhance network reliability and operational efficiencies.

Responsibilities

Partner closely with the cross-functional and network SMEs to define and build AI/ML-powered agents that improve reliability, performance, and operational efficiency across Extreme’s network offerings.
Own the end-to-end lifecycle for intelligence capabilities: discovery → scoping → prototyping → development → launch → iteration.
Use AI tools (LLMs, copilots, vibe coding) to prototype agent behaviours, automations, evaluators, reasoning flows, and UX interactions.
Work with engineering to design and ship agentic systems that perform multi-step reasoning, take actions, validate outcomes, and learn from telemetry.
Translate raw telemetry, events, logs, observed patterns, and signals into clear models, insights, and agent behaviours.
Define agent policies, triggers, safety boundaries, and success criteria.
Drive clarity for engineering with crisp product and outcome definitions, evaluation frameworks.
Collaborate with design to create trustworthy, explainable AI/ML experiences - especially for diagnostics, troubleshooting, and decision assistance.
Partner with AI/ML engineers to optimize model performance, latency, cost, data quality, and decision accuracy.
Build feedback loops and evaluation systems to continuously improve agents over time.
Ensure all intelligence features meet enterprise-grade safety, privacy, responsible AI, and operational constraints.
Operate with urgency - simplify complexity, unblock teams quickly, and ship real value fast.

Proven experience building and shipping AI/ML features or agents (LLMs, ML models, anomaly detection, predictive systems, or autonomous workflows).
Quick learner with a builder’s mindset - able to ramp on new concepts, stacks, and domains rapidly, and turn ambiguity into working prototypes.
Skilled at using AI as a force multiplier: vibe coding tools (Replit, Copilot, Windsurf), RAG & eval frameworks, agent orchestration, and fast prototyping.
Ability to read/write lightweight code or scripts in Python with AI assistance to accelerate prototyping.
Strong product instincts: simplifying complex technical domains, prioritizing sharply, and defining user value clearly.
Familiarity with LLM orchestration, retrieval pipelines, vector stores, guardrails, and cost/latency trade-offs.
Understanding of agentic patterns is a plus.
Experience working with telemetry, logs, and event streams to identify opportunities for intelligence and automation.
Excellent async communication – we are a remote first company.
Experience in networking and/or security is a plus, not required.
Comfortable operating in fast-paced, ambiguous, zero-to-one environments.

Inclusion is one of our core values and is in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.