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

Role

We are hiring a hands-on AI/ML Product Builder (Product Manager) to design and deliver next-generation intelligence agents for self-driving networks. You will shape the end-to-end AI/ML stack—platform, pipelines, models, agents, and user-facing applications—to improve monitoring, diagnosis, and optimization across networking 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 signals into models, insights, and agent behaviors.
• Define agent policies, triggers, safety boundaries, and success criteria; build evaluation and feedback loops.
• Collaborate with AI/ML engineers and design to optimize model performance, latency, cost, data quality, explainability, and safety.
• Ensure intelligence features meet enterprise-grade safety, privacy, and responsible AI constraints.
• Operate with urgency: simplify complexity, unblock teams, and deliver value quickly.

Requirements

• Proven experience building and shipping AI/ML features or agents (LLMs, ML models, anomaly detection, predictive systems, or autonomous workflows).
• Strong product instincts, systems thinking, and the ability to simplify complex technical domains and prioritize outcomes.
• Skilled at rapid prototyping using AI as a force multiplier (vibe coding tools, RAG and evaluation frameworks, agent orchestration).
• Ability to read/write lightweight code or scripts in Python with AI assistance to accelerate prototyping.
• Familiarity with LLM orchestration, retrieval pipelines, vector stores, guardrails, and trade-offs around cost and latency.
• Experience working with telemetry, logs, and event streams to identify intelligence and automation opportunities.
• Excellent asynchronous communication skills and experience working remotely.
• Comfortable operating in fast-paced, ambiguous, zero-to-one environments; experience in networking 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 of shipped AI/ML features or agents, rapid prototyping with AI tools, and evaluation of model quality, cost, latency, and reliability.