Fluidstack
Compensation Lead
New York, NY. Posted 4 months ago
The role
This person will act as a strategic partner and practitioner to shape compensation philosophy and drive incentive design. They will build compensation tools, conduct market research, and manage compensation planning processes.
What you will do
- Partner strategically with leadership as a compensation advisor
- Own annual and off-cycle compensation planning processes end-to-end
- Design and maintain compensation tools, models, and resources
- Conduct competitive benchmarking and market analyses
- Design, benchmark, and improve compensation and incentive structures
- Partner with People and leadership to support performance cycles
- Build and maintain compensation models, reporting cadences, and dashboards
Required qualifications
- 4+ years of experience in compensation or a related HR function
- Demonstrated ownership of comp planning cycles and program design
- Ability to drive compensation planning transitions in alignment with business and talent strategy
- Experience partnering with cross-functional stakeholders to build and refine compensation programs
- Deep knowledge of at least one competitive talent market (tech, AI, infrastructure, or similar)
- Strong analytical skills to build and maintain complex compensation models
- Track record of leveraging market data (Radford, Mercer, Levels.fyi, or similar) to benchmark and calibrate pay structures
Nice to have
- Background at high-growth tech companies or startups, preferably in AI, cloud/infrastructure, or data centers
- Experience designing incentive and equity programs, including a strong understanding of private vs. public equity frameworks
- Exposure to comp work in a pre-IPO or rapid-scaling environment
Benefits
- Competitive total compensation package (salary + equity)
- Retirement or pension plan, in line with local norms
- Health, dental, and vision insurance
- Generous PTO policy, in line with local norms
- Equity in the form of restricted stock units
About the company
Fluidstack is building civilization-scale infrastructure for AI by acquiring power, designing and building data centers, and operating them. They focus on delivering GWs of compute faster than anyone else.