About Us

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 Peloton to name a few.

Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.

Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.

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.

AI is not an add-on at Endor—it’s the core execution fabric of the platform. You’ll be responsible for productizing agentic capabilities that make security teams meaningfully faster and more accurate, translating real AppSec use cases (auto-triage, reachable-only findings, secure design review, PR feedback, remediation suggestions) into reliable agent workflows with clear inputs, outputs, SLAs, and success criteria. This role goes beyond writing requirements and focuses on delivering intuitive, enterprise-grade, AI-first product experiences for modern AppSec teams.

How You'll Make an Impact

Strategy and Vision: Own your product area’s vision, strategy, and success, aligning it with user needs and business goals. Directly engage with customers and prospects to gather feedback, understand user problems, and shape the product roadmap.
Product Lifecycle Management: Define and prioritize features, while working with engineering, from ideation and discovery through execution, launch, and iteration.
AI-First Platform: Enhance Endor’s agentic platform–define which agents to build, which tools to add, keeping in mind the trade-offs between cost and latency.
Go-to-market: Work with product marketing, sales enablement and other teams to develop messaging and positioning for product launches, and create materials to support the sales team.
Data-driven decision making: Use quantitative and qualitative data to track product performance, identify opportunities, and measure the success of the product area.

What You Bring to the Table

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