Extreme Networks is a global networking leader that provides cloud-driven networking solutions. They are seeking a hands-on AI/ML Product Builder to design and deliver next-generation intelligence agents, focusing on building the entire AI/ML stack end-to-end.
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 behaviors, 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 behaviors
- 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
Requirements:
- 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
- Comfortable operating in fast‑paced, ambiguous, zero‑to‑one environments
- 5+ years in product management or PM/technical hybrid roles
- 2+ years building and shipping AI/ML solutions, agents, or intelligence capabilities end‑to‑end
- Portfolio or examples demonstrating: AI/ML features or agents shipped to production, Rapid prototyping with AI tools, Evaluation of model quality, cost, latency, reliability, Strong product thinking applied to complex or diagnostic domains
- Experience in networking and/or security is a plus, not required