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

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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.
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 optimized.
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.
If you thrive at the intersection of AI/ML, systems thinking, and zero-to-one product building, you'll fit right in.

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.
•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.
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 (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.

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