Intern contributing to AI/ML solutions for manufacturing automation at Intel. Hands - on experience in projects driving industrial innovation and efficiency.
About the role
- 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
- Flexible remote work
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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