Global Public Sector Engineering Lead – AI Platforms

Scale; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Scale is looking for an Engineering Manager to lead the International Public Sector engineering efforts in London, guiding technical delivery and architecture for AI-driven applications. The role requires building and mentoring high-performing teams, shipping complex features, and collaborating across internal and external stake­holders.

The ideal candidate thrives in a fast-paced setting, translates business needs into scalable engineering solutions, and shapes the team culture as Scale expands

Qualifications

• At least 5 years of relevant experience; 2+ years managing backend engineers.
• Proven success in leading and developing high-performing engineering teams.
• Expertise identifying product engagement patterns and trends for large-scale consumer products.
• Track record shipping high-quality products and features at scale.
• Able to thrive in a very fast-paced environment and translate ideas into engineering solutions.

Responsibilities

• Manage the engineering team and drive technical delivery.
• Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
• Comfortable working cross functionally, whether internal or external customers
• Work across the entire product lifecycle from conceptualization through production
• Build features end-to-end, system design, debugging and testing
• Deliver experiments at a high velocity and level of quality to engage our customers
• Influence the culture, values, and processes of a growing engineering team
• Inspire and mentor engineers.
• Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Skills

Engineering management

Leadership

Cross-functional collaboration

Problem solving

Communication

Job description

Scale is looking for an Engineering Manager to lead the International Public Sector engineering efforts in London, guiding technical delivery and architecture for AI-driven applications. The role requires building and mentoring high-performing teams, shipping complex features, and collaborating across internal and external stake­holders.

The ideal candidate thrives in a fast-paced setting, translates business needs into scalable engineering solutions, and shapes the team culture as Scale expands