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Product Manager – AI/ML Product Builder (Core Intelligence)

Extreme Networks
3.6(141)
👥1k-5k
Product/Program/Architecture/Operations
New Hampshire
$170k - $250k
1 week ago
🤖 AI-First🛠️ Cursor-friendly⚡ Replit🌍 Remote💻 Open Source
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Explicitly requires vibe coding and rapid prototyping with LLMs and copilots; the role centers on using AI assistants and agent orchestration to build and iterate agentic systems.

About the Role

Hands-on AI/ML Product Manager to design and deliver next-generation intelligence agents for self-driving networks, owning end-to-end lifecycle from discovery and prototyping to launch and iteration. Mid-level builder role focused on using LLMs, vibe coding, and telemetry-driven models to improve network reliability, performance, and operational efficiency.

Job Description

Role

We are hiring a hands-on AI/ML Product Builder to design and deliver Extreme’s next generation of intelligence agents for self-driving networks. You will help build the AI/ML stack end-to-end — from platform and pipelines to models, agents, and user-facing applications — and define the foundational intelligence layer across Extreme’s products.

Key Responsibilities

  • Partner with cross-functional teams and network SMEs to define and build AI/ML-powered agents that improve reliability, performance, and operational efficiency.
  • Own the end-to-end lifecycle for intelligence capabilities: discovery, scoping, prototyping, development, launch, and 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 telemetry, events, logs, and observed signals into models, insights, and agent behaviors.
  • Define agent policies, triggers, safety boundaries, and success criteria; build evaluation frameworks and feedback loops.
  • Collaborate with design on trustworthy, explainable AI experiences for diagnostics, troubleshooting, and decision assistance.
  • Partner with AI/ML engineers to optimize model performance, latency, cost, data quality, and decision accuracy.
  • Ensure intelligence features meet enterprise-grade safety, privacy, responsible AI, and operational constraints.
  • Operate with urgency: simplify complexity, unblock teams, and ship value quickly.

Qualifications

  • 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 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: simplify complex technical domains, prioritize sharply, and define user value.
  • Familiarity with LLM orchestration, retrieval pipelines, vector stores, guardrails, and cost/latency trade-offs.
  • Experience working with telemetry, logs, and event streams to identify intelligence and automation opportunities.
  • Excellent asynchronous communication skills; comfortable in a remote-first environment.
  • Experience in networking and/or security is a plus.

Experience

  • 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 shipped AI/ML features or agents, rapid prototyping with AI tools, and evaluation of model quality, cost, latency, and reliability.

Impact & Context

This role shapes the core intelligence layer across Extreme’s product portfolio, influencing how networks are monitored, diagnosed, and optimized. The position emphasizes rapid prototyping with AI tools and building agentic systems that learn and improve from telemetry over time.

Tech Stack

LLMsReplitCopilotWindsurfPythonRAGeval frameworksLLM orchestrationretrieval pipelinesvector storesagent orchestration

Skills

Product SenseSystems ThinkingRapid PrototypingVibe CodingCross-functional CollaborationStakeholder ManagementPrioritizationEvaluation & MetricsResponsible AI / SafetyTelemetry & Data InterpretationAsync CommunicationEngineering Collaboration

Experience Level

Mid

Employment Type

Full-time

Benefits

  • Remote-first
  • Inclusive workplace