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About the role
At Endor Labs, building the most technically rigorous and developer-friendly AppSec platform (AURI) requires product leaders who can go deep into the details while keeping an eye on the bigger picture. As a Senior Technical Product Manager, you’ll own the definition and delivery of AI product capabilities across Endor’s platform, specifically the integration and connection of our Application Security features into the AI developer tooling. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong technical product management experience in developer-facing platforms
- Experience with modern developer workflows (CI/CD, IDEs, source code analysis), familiarity with application security concepts is a plus
- Hands-on experience productizing AI or agent-based systems, including defining workflows, guardrails, and success metrics
- Ability to go deep technically while maintaining strong product judgment and execution focus
- Proven ability to partner credibly with engineering, sales engineers, and customers
More about this role
AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and...
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