Backed by Lightspeed.
About the role
As a Technical Product Marketing Manager at Endor Labs, you’ll bridge the needs of security and engineering teams with our product. Equal parts strategist and storyteller, you thrive on translating complex technology and market trends into clear, compelling narratives. You’ll partner with product, sales, customer success, demand generation, and community teams to launch new products and features and position Endor Labs as the leader in application security. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have a strong product marketing background working on developer-focused products
- Experience in DevOps or DevSecOps is a must
- You are a strong writer and public speaker who is comfortable rolling up their sleeves
- You are a skilled project manager who can keep stakeholders informed and projects on track
- You represent the voice-of-the-customer and can distill actionable product roadmap recommendations from customer feedback, market research, and competitive analysis
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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