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

Role

We are looking for a hands-on AI/ML Product Builder to define and deliver the next generation of intelligence agents and the foundational AI/ML layer for network monitoring, diagnosis, and optimization. This role combines product ownership, systems thinking, and rapid prototyping using LLMs and vibe coding tools to build agentic systems that reason, act, validate, and learn from telemetry.

Key Responsibilities

• Partner with cross-functional teams and network SMEs to define 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 patterns into models, insights, and agent behaviors.
• Define agent policies, triggers, safety boundaries, and success criteria; create evaluation frameworks and feedback loops.
• Collaborate with design to deliver 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.
• Ensure intelligence features meet enterprise-grade safety, privacy, responsible AI, and operational constraints.
• Operate with urgency to simplify complexity, unblock teams, and ship value rapidly.

Requirements

• Proven experience building and shipping AI/ML features or agents (LLMs, ML models, anomaly detection, predictive systems, or autonomous workflows).
• 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.
• Skilled at using AI as a force multiplier: vibe coding tools (Replit, Copilot, Windsurf), RAG & evaluation frameworks, agent orchestration, and fast prototyping.
• Ability to read/write lightweight code or scripts in Python with AI assistance for rapid prototyping.
• Strong product instincts: simplifying complex technical domains, sharp prioritization, and clear definition of 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 automation opportunities.
• Excellent asynchronous communication; comfortable in a remote-first, fast-paced, zero-to-one environment.
• Experience in networking or security is a plus.

Experience & Portfolio

• Demonstrable examples of AI/ML features or agents shipped to production.
• Examples of rapid prototyping with AI tools and evaluation of model quality, cost, latency, and reliability.
• Strong product thinking applied to complex or diagnostic domains.