Head of Total Rewards
Verda (formerly DataCrunch) is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, self-service clusters, serverless containers, storage, and inference infrastructure.
Funding history
About Verda
Founded in Helsinki in 2020, Verda operates European AI cloud infrastructure across physical data centers, hardware, a cloud platform, and AI research. DataCrunch renamed to Verda in November 2025 without changing its service offering.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build the global Total Rewards function from its foundations. You will define compensation, benefits, equity, and job-architecture frameworks; lead benchmarking and market analysis; and establish scalable governance, systems, and processes. You will support workforce planning, budgeting, hiring, and international expansion through compensation analytics and market insights.
Requirements
- 8+ years of experience in Total Rewards, Compensation and Benefits, Reward Consulting, or a related field
- Experience designing and implementing compensation frameworks in international organizations
- Expertise in compensation benchmarking, salary structures, job architecture, leveling frameworks, equity or option schemes, and benefits strategy
- Analytical experience with compensation data, workforce analytics, and financial models
- Experience advising senior leaders and executives on compensation and workforce decisions
- Understanding of compensation governance, pay equity, and reward practices
- Experience across multiple countries and compensation markets
- Stakeholder management and influencing skills
Responsibilities
- Define and own the global Total Rewards strategy
- Design scalable compensation frameworks, job levels, salary bands, and governance processes
- Lead compensation benchmarking and market analysis
- Build and evolve global benefits programs
- Support workforce planning, budgeting, and hiring decisions through compensation analytics
- Shape compensation and benefits approaches across multiple countries
- Establish scalable Total Rewards systems, processes, and governance
