Lead Product Manager, AI - ThousandEyes

Lead Product Manager

Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end-user experiences.

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios.

About the Role

We're looking for a Lead Product Manager who is a great product manager first—and happens to have real depth in modern AI/ML. You'll own product strategy for key AI/ML feature areas, working closely with engineering and research to ship capabilities that make our customers' lives easier. This isn't a traditional enterprise PM role. We want someone who has built AI-native products and understands how they actually work under the hood. Ideally, you've spent time at companies like Cursor, Windsurf, Replit, or similar places where AI isn't a feature; it's the product. You'll bring that perspective to ThousandEyes as we build the next generation of intelligent, agentic capabilities on top of one of the richest network telemetry datasets in the world.

What You'll Do

• Be the connective tissue between product and ML—you'll sit at the intersection of customer problems and technical possibilities, translating between what users need and what models can do.
• Get your hands dirty with the technology—you're comfortable digging into how a model behaves, why it's making certain predictions, and what trade-offs come with different approaches.
• Rethink the user experience from first principles—instead of bolting AI onto existing workflows, you'll help design interactions where intelligent automation is the default.
• Make hard calls on ambiguous problems—AI product development is messy; you'll need to decide when something is good enough to ship and when it needs more iteration.
• Bridge the gap between research and production—help the team move from promising experiments to features that work reliably at scale.

Qualifications

• 8+ years in product management, with experience shipping AI-native or ML-powered products
• Strong product fundamentals—you know how to discover what matters, prioritize ruthlessly, and get things out the door
• Genuine technical depth in ML—you understand how modern models work (especially transformers), and can engage meaningfully with engineers on architecture and trade-offs
• Experience at companies building agentic AI products (Cursor, Windsurf, Replit, Cognition, etc.) is a strong plus
• Excellent communicator—can distill complex topics for different audiences and influence across teams and levels
• Bias for action; comfortable operating with ambiguity and making calls without perfect information