Jobs at Too Good To Go

Leads enterprise partner acquisition across UK and Ireland, targeting major retailers, grocery businesses, restaurants, and new non-food verticals. Owns complex sales cycles from prospecting and solution design through negotiation and contract execution. Builds scalable sales playbooks, engages C-suite stakeholders, develops commercial business cases, represents the company at industry events, and collaborates cross-functionally on partner rollouts. Requires strong enterprise sales, negotiation, retail-market knowledge, executive communication, and commercial strategy skills.

Leads and coaches a sales team responsible for acquiring and expanding partner businesses. Sets strategy, targets, and KPIs; manages performance, recruitment, onboarding, and development; analyzes portfolios and dashboards; improves sales processes; supports partner acquisition and onboarding; and collaborates with local and global stakeholders to achieve growth goals.

Build and evolve scalable backend services, infrastructure, and product features for Too Good To Go’s international marketplace. The role involves Java and Spring Boot development, API design, quality-focused coding, agile collaboration, and maintaining reliable systems in AWS and Kubernetes. Engineers will work with cross-functional teams, contribute to architectural decisions, and help establish a new London engineering hub while supporting product scalability, maintainability, and sustainability.

Lead the UK and Ireland Key Accounts function, managing a team of 15+ and owning commercial strategy, revenue growth, partnerships, acquisition, rollouts, forecasting, budgeting, and P&L performance. Build strategic relationships across food retail, restaurants, and franchises while coaching the team, collaborating cross-functionally, and contributing to country leadership. Use analytics and commercial planning to identify growth opportunities and deliver Too Good To Go’s food-waste mission.

Lead pricing analytics for a marketplace, partnering with Product, Data Science, Finance, and commercial teams. Define metrics, conduct pricing and experimentation analysis, apply causal inference, build dashboards, and translate findings into product and business decisions. Focus areas include dynamic pricing, service fees, partner recommendations, price elasticity, retention, GMV, and meals saved.