Product Manager – AI/ML Product Builder (Core Intelligence)
Explicitly requires vibe coding skills and rapid prototyping with AI tools; uses LLMs and copilots (Replit, Copilot, Windsurf) for agent workflows and prototyping.
About the Role
Hiring a hands-on Product Manager to design and deliver AI/ML-powered intelligence agents and capabilities for self-driving network features. The role focuses on end-to-end ownership from discovery and prototyping to launch and iteration, using AI tools to build agentic systems that reason, act, evaluate, and improve over time.
Job Description
Role
We are seeking a mid-level, builder-oriented Product Manager to design and deliver Extreme’s next generation of AI/ML intelligence agents for network monitoring, diagnosis, and optimization. This role owns the end-to-end lifecycle for intelligence capabilities, from discovery and prototyping through development, launch, and iteration, and works across platform, models, agents, and user-facing applications.
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 discovery, scoping, prototyping, development, launch, and iteration for intelligence capabilities.
- Use AI tools (LLMs, copilots, vibe coding) to prototype agent behaviors, automations, evaluators, reasoning flows, and UX interactions.
- Collaborate 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 signals into models, insights, and agent behaviors.
- Define agent policies, triggers, safety boundaries, and success criteria.
- Drive clarity for engineering through product and outcome definitions and evaluation frameworks.
- Work with design to create trustworthy, explainable AI/ML experiences for diagnostics 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.
- Ensure intelligence features meet enterprise-grade safety, privacy, responsible AI, and operational constraints.
- Operate with urgency: simplify complexity, unblock teams, and deliver value quickly.
Requirements
- 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.
- Proven experience building and shipping AI/ML features or agents (LLMs, ML models, anomaly detection, predictive systems, or autonomous workflows).
- Skilled at using AI as a force multiplier: vibe coding tools (Replit, Copilot, Windsurf), RAG and evaluation 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 effectively, and define clear 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 opportunities for intelligence and automation.
- Excellent asynchronous communication skills and ability to operate in a remote-first, fast-paced, zero-to-one environment.
- Experience in networking and/or security is a plus.
Experience & Demonstrable Work
- Portfolio or examples showing AI/ML features or agents shipped to production, rapid prototyping with AI tools, and evaluation of model quality, cost, latency, and reliability.
Notes
- The role emphasizes responsible AI, safety, and explainability for enterprise-grade features.
- This position operates across platform, model, agent, and UX layers to shape the foundational intelligence used across Extreme products.
Tech Stack
Skills
Experience Level
Employment Type
Benefits
- •Remote-first
- •Inclusive workplace