AI Product Manager

Upwind is the cloud and AI security company. We use runtime context to find and prioritize the risks that matter across cloud infrastructure and AI workloads. Our eBPF-powered sensors and agentless discovery give security teams one platform for cloud posture, real-time threat protection, API security, and securing AI: from models and AI services in the cloud to the agents, MCP servers, and AI coding tools running on developer workstations.

About the role

We’re looking for a Product Manager to help define how organizations discover, govern, and protect their AI. You’ll own core capabilities in Upwind’s AI Security domain, part of our AI Labs group, and shape a category that’s being defined right now. You’ll work with customers, R&D, and go-to-market teams to turn fast-moving AI risks into products security teams can act on.

What you’ll do

• Own the strategy, definition, and delivery of AI security capabilities, from discovery through design, development, rollout, and adoption.
• Turn emerging AI risks (agents, MCP servers, AI coding assistants, model and data exposure) into clear product requirements and priorities.
• Work directly with customers and strategic accounts to understand how security teams govern AI usage, and act as the technical product voice in those conversations.
• Partner closely with R&D and research to build accurate, low-noise detections, classifications, and controls.
• Define success metrics and use product data to drive decisions and measure impact.
• Work with Product Marketing, Customer Success, and Sales on launches, positioning, and enablement.

• 3+ years as a Product Manager on technical B2B products, ideally in cybersecurity.
• Hands-on understanding of modern AI systems: LLMs, AI agents, MCP, AI coding tools, or ML/AI platforms, including how they’re built, deployed, and used inside organizations.
• Experience with cloud infrastructure (AWS, Azure, or GCP) or AI observability and governance.
• Strong analytical thinking and a data-informed approach to product decisions.
• Excellent written and spoken English, with the ability to explain complex technical concepts clearly.

Nice to have

• A background in software engineering, data engineering, security research, or another highly technical role.
• Experience working closely with security teams, SOC, or enterprise security workflows.
• Familiarity with AI security frameworks and risks (OWASP Top 10 for LLMs and agentic AI, prompt injection, supply-chain risk in AI artifacts).
• Experience shaping a product in an early or emerging category.