Head of Engineering

Founded in 2019, Uncapped is a fintech company focused on providing working capital to SMEs in North America and Europe. They leverage multiple data sources to make credit decisions faster, safer, and more conveniently, working with large platforms including Amazon and Walmart, aiming to be the best alternative lender globally.

• 10+ years in engineering roles, with at least 3 years leading engineering managers in high-growth environments.
• Proven track record delivering complex, distributed systems in production; fintech, marketplace, or other data-intensive domains strongly preferred.
• Deep fluency with GCP, Kubernetes, BigQuery, and event-driven architectures.
• Strong understanding of API integrations, automated data pipelines, and infrastructure tradeoffs at scale.
• Active, hands-on user of AI development tooling with experience scaling adoption across a team.
• Ability to balance immediate delivery pressure with long-term architectural health and communicate clearly upward.
• Commercial acumen to assess engineering cost of new initiatives against business value.
• Experience operating in regulated or compliance-sensitive environments is a strong plus.
• Low tolerance for ambiguous ownership, process theatre, and information silos; builds systems to eliminate them.

Lead Engineering Strategy & Team:

• Build and develop a high-performing engineering organisation of 15+ engineers and engineering managers.
• Strengthen the culture, processes, and communication discipline that enable autonomous, high-quality delivery across distributed EU/UK/US timezones.
• Own engineering career frameworks, manager development, and the hiring bar.

Own Technical Architecture:

• Partner with the CTO to set and enforce technical direction across the full platform stack.
• Lead architecture reviews, own governance frameworks, and make consequential build/buy/integrate decisions.
• Identify structural fragility before it becomes operational risk.

Drive AI-Powered Productivity:

• Lead the organisation's adoption of AI tooling across the full development lifecycle: code generation, testing, documentation, and incident response.
• Set expectations, track impact, and make high-leverage AI usage a team norm.

Enforce Engineering Discipline:

• Own delivery cadences, planning hygiene, cross-squad coordination, and accountability structures.
• Build processes that keep a fast-moving team aligned without bureaucracy.
• Establish and maintain clear ownership boundaries across squads to prevent fragmentation and information silos.

Enable Cross-functional Impact:

• Partner with Risk, Product, and Operations to ensure engineering output translates directly into business outcomes.
• Assess the cost and feasibility of new technical initiatives and communicate tradeoffs clearly to non-technical stakeholders.