Compensation Manager
Fluidstack
| Company | Fluidstack |
| Category | HR & Recruiting |
| Location | New York |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | USD 184k–276k |
| Posted | 18 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT FLUIDSTACK
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
HOW WE OPERATE
- Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
- Velocity. We drive everything forward as fast as possible.
- First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
- Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
ABOUT THE ROLE
We're seeking an exceptional Compensation Manager who is equal parts strategist and practitioner. You won't just administer comp cycles — you'll operate as a trusted partner to the business, using rigorous market research and data to shape compensation philosophy, drive incentive design, and build the tools and frameworks that support talent decisions across the company.
This role demands both scientific precision and practical judgment. The real value you bring is your ability to move fluidly between market analysis and execution — turning complex data into clear recommendations, building compensation infrastructure that cross-functional teams can actually use, and supporting critical moments like performance cycles and offer decisions with speed and confidence. Fluidstack is building the backbone of AI — your work ensures the people doing that building are recognized and retained accordingly.
WHAT YOU'LL DO
- Partner strategically with the business: Work directly with leadership and department heads as a trusted compensation advisor — understanding their goals, challenging assumptions, and bringing market data and competitive intelligence that sharpen their thinking on pay strategy.
- Drive compensation planning: Own annual and off-cycle comp planning processes end-to-end, ensuring alignment between business strategy, talent priorities, and budget — and stay hands-on through execution.
- Build tools that serve the business: Design and maintain compensation tools, models, and resources that support cross-functional needs — from offer decisioning and leveling guidance to performance cycle support — making it easier for People, Finance, and leadership to act with confidence.
- Own market research and intelligence: Conduct rigorous, ongoing competitive benchmarking and market analyses using tools like Radford, Mercer, or Levels.fyi http://Levels.fyi. Translate research into practical, actionable guidance — not just data for the sake of data.
- Build and refine compensation programs: Leverage department-level expertise to design, benchmark, and continuously improve compensation and incentive structures that are competitive against top AI, infrastructure, and tech companies.
- Support performance cycles: Partner with People and leadership to ensure compensation inputs into performance and review cycles are accurate, consistent, and aligned to strategy.
- Operate as a data-driven function: Build and maintain compensation models, reporting cadences, and
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