// Open Role at ESL FACEIT Group
Join ESL FACEIT Group as a Total Rewards Partner to drive global compensation strategy across 40+ countries. This role leverages data, financial modeling, and HR tech to build robust reward models and advise business leaders on strategic pay decisions.
At EFG (ESL FACEIT Group) we create worlds beyond gameplay where players and fans become community. We pride ourselves in having a corporate social responsibility which is that “IT’S NOT GG, UNTIL IT’S GG FOR ALL”. We are passionate about the culture we foster that ultimately helps to create and shape the world of esports, gaming tournaments, leagues, events and holistic ecosystems staged for our millions of players, fans and heroes.
Everything we do, from global esports tournaments and community-driven leagues to next-generation platforms and live events, is rooted in our passion, craftsmanship, and culture. With millions of players and fans around the world, we aim to shape the future of esports and gaming by building ecosystems that are inclusive, innovative, and enduring.
We are looking for a Total Rewards Partner to support EFG’s global strategy across 40+ countries by serving as the core technical expert and data strategist for the Total Rewards function. Reporting to Global Total Rewards, this role balances data-driven advisory with hands-on execution. You will partner directly with People teams, Finance, and business leaders to guide reward decisions, while bringing the technical rigor required to build robust compensation models, ensure data integrity, and leverage modern HR tech and AI to drive automation and scalability across EFG.
Firmly rooted in our values, EFG is an affirmative action employer that celebrates being an equal opportunity workplace. Our unwavering commitment to fair employment extends to all individuals, regardless of their race, color, ancestry, religion, sex, national origin, age, sexual orientation, disability, citizenship, marital status, gender identity, or Veteran status.
5+ years of Total Rewards or Compensation experience in an international, multi-region environment. Advanced financial modeling and analytical skills in Excel/Google Sheets. Hands-on HRIS experience (e.g., HiBob). Deep technical expertise in market benchmarking (Mercer, Radford), job architecture, pay equity, and annual review cycles. Demonstrated interest or practical experience applying AI, automation, and HR technology. Strong business partnering skills with the ability to translate complex data into clear business recommendations and influence stakeholders. High attention to detail, strong data governance mindset, and fluent written and spoken English.