Engineering Manager - AI-native SaaS Scale Leader (London)

Engineering Manager - AI-native SaaS Scale Leader (London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead engineering teams to drive technical excellence in AI-native procurement.
  • Company: Omnea, a rapidly growing Series B tech company in London.
  • Benefits: High autonomy, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and scaling engineering functions.
  • Why this job: Shape engineering culture and make a significant impact in a fast-paced environment.
  • Qualifications: 8+ years in software engineering and 3+ years managing teams in high-growth settings.

The predicted salary is between 60000 - 80000 Β£ per year.

Omnea in London is seeking an Engineering Manager to lead 2-3 engineering teams totaling 12-20 engineers, driving technical excellence and architectural decisions for an AI-native procurement platform. This high-autonomy role partners with product leadership to shape engineering culture at a rapidly growing Series B company.

You bring 8+ years in software engineering, with 3+ years managing multiple teams in high-growth environments, and a proven ability to scale engineering functions.

Engineering Manager - AI-native SaaS Scale Leader (London) employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Engineering Manager - AI-native SaaS Scale Leader (London)

Leadership
Team Management
Software Engineering
Technical Excellence
Architectural Decision-Making
AI-native Technologies
Procurement Platforms