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.
Summary
Define and deliver AI security capabilities, turning emerging AI risks like agents, MCP servers, and model exposure into actionable products. Requires 3+ years as a Product Manager on technical B2B products, hands-on understanding of modern AI systems, and experience with cloud infrastructure or AI governance.
Responsibilities
Own strategy, definition, and delivery of AI security capabilities; Turn emerging AI risks into product requirements and priorities; Work with customers and strategic accounts; Partner with R&D and research; Define success metrics; Support launches, positioning, and enablement
Qualifications
3+ years as a Product Manager on technical B2B products, ideally in cybersecurity; Hands-on understanding of modern AI systems; Experience with cloud infrastructure or AI observability and governance; Strong analytical thinking; Excellent written and spoken English
Experience requirements
3+ years as a Product Manager on technical B2B products, ideally in cybersecurity