Job Description
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and 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.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Product Manager – AI/ML Product Builder (Core Intelligence)
Overview
We’re hiring a hands-on AI/ML Product Builder to work on designing and delivering Extreme’s next generation of intelligence agents as we build towards the future of self-driving networks. On AI/ML Product Builder
You’ll be joining a team that is building the entire AI/ML stack end-to-end: from platform and pipelines to models, agents, and user-facing applications. This is a rare opportunity to shape the foundational intelligence layer across Extreme’s products and have immense, organisation-wide, and customer impact on how networks are monitored, diagnosed, and optimised to end-facing applications. This is a rare opportunity to shape the foundational intelligence layer across Extreme’s products and have a wide
This is a mid-level, builder-oriented role for someone who combines strong product sense with the ability to effectively use AI as a tool (vibe coding, rapid prototyping, LLM workflows) and who understands how to build agentic systems that reason, act, evaluate, and improve over time. senior, builder-oriented role coding, rapid prototyping, LLM workflows) and who understands how to build
If you thrive at the intersection of AI/ML, systems thinking, and zero-to-one product building, you'll fit right in at one product building
Key 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. Powered agents
•Own the end-to-end lifecycle for intelligence capabilities: discovery → scoping → prototyping → development → launch → interation.to end lifecycle
•Use AI tools (LLMs, copilots, vibe-coding) to prototype agent behaviors, automations, evaluators, reasoning flows, and UX interactions. Coding) to
•Work with engineering to design and ship agentic systems that perform multistep 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 optimise 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. grade safety, privacy, responsible AI, and operational constraints
•Operate with urgency - simplify complexity, unblock teams quickly, and ship real value fast.
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 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 (Replicating 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, prioritising sharply, and defining user value clearly value clearly.
•Familiarity with LLM orchestration, retrieval pipelines, vector stores, guardrails, and cost/latency tradeoffs.
•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, but not required.
•Comfortable operating in fast-paced, ambiguous, zero-to-one environments. paced, ambiguous, zero to one environments.
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:
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