Backed by Lightspeed.
About the role
Own technical enablement end to end for our presales Solutions Architects (SAs) and post-sales Customer Solutions Engineers (CSEs) — the single person accountable for the field's technical readiness. You own onboarding and ramp, feature launch enablement, golden demo paths, the demo environment, certification, and the content and metrics that hold it together, so the whole field can represent the platform accurately and win on technical merit. It's a dedicated role, not a side-of-desk task. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years in technical enablement, sales engineering, solutions architecture, or technical product marketing — ideally having both carried a technical field role and built programs for one
- Fluency with the technical sales motion: discovery, demos, PoVs / PoCs, value/ROI and competitive positioning
- A builder's instinct for instructional design and reusable content — build once, use many — plus the program management to run a cadence across Product, PMM, Engineering, and the field
- A track record of turning complex product capability into clear, practical enablement, and measuring whether it worked
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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