VP Engineering scaling engineering organization for Qevlar AI, focusing on AI cybersecurity solutions. Building processes for predictable delivery and managing customer requirements.
Responsibilities
Build and scale a high-performing engineering organisation while maintaining velocity
Establish processes and systems that enable predictable delivery without sacrificing speed
Define clear interfaces between engineering and other functions (Product, Sales, Customer Success)
Develop engineering managers and create clear career paths for the team
Own technical standards, delivery practices, and operational excellence
Partner with the CTO on technical strategy while owning day-to-day execution
Manage BYOC deployments and enterprise customer requirements while maintaining continuous deployment cadence
Requirements
Significant engineering leadership experience with a track record of scaling teams through Series-B growth stages
A concrete system you've implemented before for predictable delivery - not theory, but something you've actually deployed and measured
Strong business acumen : you understand customer needs, revenue implications, and how engineering decisions impact the business
Track record of building engineering management layers and developing technical leaders
Experience balancing rapid iteration with enterprise stability requirements
Extreme ownership : you make autonomous decisions with data, then execute without needing constant validation
Customer-centric mindset with a bias toward shipping and iteration
Benefits
Significant equity stake with real upside potential
High autonomy and direct impact on company trajectory
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