Teya Offices

Teya is headquartered in London.

OnSite Workplace

Employees work from physical offices.

We believe great ideas happen when people come together. Our hybrid approach gives you the flexibility to work from home, but we encourage spending at least three days a week in the office to collaborate, connect, and keep our culture strong.

Typical time on-site: 5 days a week

Global Office Locations

HQ
London

Teya London

100 Victoria Embankment , London, United Kingdom, EC4Y 0DY

Recently posted jobs

3 Hours AgoSaved
Hybrid
London, Greater London, England, GBR
Fintech • Payments • Financial Services
Identify and engage prospective merchants with complex needs via high-volume outbound outreach. Qualify opportunities through consultative discovery, book meetings for Key Account Managers, prepare structured CRM handovers, manage follow-ups and prioritisation, and share insights to support account strategy and conversion while meeting activity and conversion targets.
6 Days AgoSaved
In-Office
London, Greater London, England, GBR
Fintech • Payments • Financial Services
Partners with UK commercial leaders on workforce planning, team effectiveness, performance, engagement, talent development, succession, compensation, and employee relations. Uses people data to guide decisions, coaches managers, supports people cycles, and collaborates with Finance, Sales Operations, Reward, and the global People team to build and retain high-performing commercial talent in line with UK employment law.
6 Days AgoSaved
In-Office
London, Greater London, England, GBR
Fintech • Payments • Financial Services
Own paid acquisition across Meta, Google, and TikTok for European markets, connecting advertising spend to qualified pipeline and onboarded merchants. Lead acquisition strategy, budgets, analytics, SQL reporting, unit economics, experimentation, conversion optimization, platform integrations, and agency relationships. Partner with sales leaders, develop the growth team, mentor staff, and communicate forecasts and performance to senior stakeholders. Use AI to accelerate reporting, analysis, experimentation, and team workflows.