Overview
As Director of Engineering at Zopa, you will lead a sizeable engineering organisation within a key business area, driving strategic tech and people improvements. You’ll set direction, build high-performing teams, and influence major architectural decisions to raise engineering standards. You’ll partner with Product and Commercial leaders to translate engineering work into stronger business outcomes, with a data-led approach and opportunities in AI-enabled engineering. This hybrid, London-based role emphasizes autonomy, collaboration, and tangible impact on the company’s technology and growth.
Pay / Benefits
- Hybrid working: London office 2–3 days a week
- Flexible work arrangements including up to 120 days abroad
- Supportive DEI practices and inclusive culture
- Work-life balance focus
- Career growth and leadership opportunity
- Access to innovative AI-driven initiatives
Responsibilities
- Set and lead the engineering strategy for your area and move the organisation toward a clear future state with measurable progress
- Build and develop high-performing teams through hiring, performance management and people practices
- Identify organisational challenges and optimise team structure and capacity for sustainable growth
- Improve engineering effectiveness using data, metrics, and AI-focused experimentation
- Challenge significant design and architectural decisions and make pragmatic build/buy/partner choices
- Foster strong partnerships with Product and Commercial leaders to create shared ownership of outcomes
- Lead with autonomy, ownership, and a data-led, outcome-focused mindset
- Guide cross-functional collaboration and raise the engineering bar across Zopa
- Translate strategy into tangible progress with stakeholder buy-in
- Drive meaningful change and operate with high EQ in difficult conversations
Key requirements
- Experienced engineering leader with a track record of leading sizeable teams
- Ability to set direction, gain buy-in, and translate strategy into progress
- Technical credibility to engage in significant design and architectural decisions
- Strong data-driven decision skills using meaningful metrics
- Experience building partnerships across Product, Technology and Commercial teams
- Comfort with AI-enabled engineering and driving practical adoption
- Ability to work autonomously in a complex, regulated environment (FinTech advantageous)
- Excellent stakeholder management and communication skills
- Proven capability to manage organisational change and reduce key-person dependencies
- Flexible, resilient, curious, and adaptable to changing priorities
- High EQ and low ego
- Collaborative mindset
- Strong communication and influencing skills
- AI-enabled engineering
- Data-driven decision making
- Engineering metrics and performance measurement
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