AI Product Manager

Description

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.

Requirements

• 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.