Backed by Lightspeed.
About the role
Customer Reliability Engineering (CRE) is the highest-level technical support function within Customer Solutions. It operates as an escalation function, a peer to Account Management and closely aligned with Post-Sales Field Engineering. CRE bridges customers and Engineering by owning complex product behavior in the field, so other post-sales teams can stay focused on strategic platform use rather than firefighting. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Own technical escalations end-to-end. Lead complex product issues from first report to resolution, coordinating across Customer Solutions and Engineering
- Run point on incidents. Lead response to global and customer-specific incidents, understand customer impact, and communicate clearly and proactively to technical users and executives alike
- Drive reliability and prevention work. Turn incident patterns into durable fixes, runbooks, tests, and guardrails so the product is easier to support at scale
- Partner across the company. Share field insights with account teams, Engineering, and Product, and raise the quality of technical support across Customer Solutions through mentorship and enablement
- Coordinate with Engineering and R&D. File, track, prioritize, and expedite resolution of critical customer bugs and complex technical issues, and make your own code contributions easy for them to review
- Balance reactive and proactive work. Respond to account-team-triggered escalations while investing in fixes that stop tomorrow's version of today's issue from happening
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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