Compensation Manager

FluidStack Inc.

Job Overview

Location

New York, NY

Job Type

Full-time

Full Job Description

📋 Description

• Partner strategically with leadership and department heads to advise on compensation strategy, aligning pay practices with business goals and talent priorities.
• Own end-to-end annual and off-cycle compensation planning processes, ensuring alignment between budget, business strategy, and talent retention objectives.
• Design, build, and maintain compensation tools, models, and frameworks that enable cross-functional teams (People, Finance, leadership) to make confident, data-driven decisions on offers, leveling, and performance cycles.
• Conduct rigorous, ongoing competitive benchmarking using market data sources such as Radford, Mercer, and Levels.fyi to inform compensation philosophy and structure.
• Translate complex market research and compensation models into clear, actionable recommendations for senior leaders and hiring managers.
• Build and manage compensation dashboards and reporting cadences to surface critical insights including pay equity, offer competitiveness, and retention risk.
• Support performance review and calibration cycles by ensuring compensation inputs are accurate, consistent, and strategically aligned with company goals.
• Design and refine incentive structures and equity programs tailored to compete with top AI, infrastructure, and technology companies.
• Operate with extreme ownership — independently driving compensation initiatives from conception to execution without waiting for direction.
• Maintain scientific rigor in all compensation work: models must be defensible, data must be methodically sourced, and recommendations must be evidence-based, not conventional.
• Build tools and resources that are actively used by non-compensation teams to streamline decision-making and reduce manual effort.
• Ensure compensation practices support Fluidstack’s mission of building civilization-scale AI infrastructure by attracting and retaining top talent in a high-stakes, fast-moving environment.
• Adapt compensation programs rapidly in response to company growth, market shifts, and evolving talent demands in AI and infrastructure sectors.

🎯 Requirements

• 4+ years of experience in compensation or a related HR function with demonstrated ownership of compensation planning cycles and program design.
• Proven ability to drive compensation planning transitions aligned with business and talent strategy, with specific examples.
• Experience partnering with cross-functional stakeholders to build and refine compensation programs, with deep knowledge of at least one competitive talent market (tech, AI, infrastructure, or similar).
• Strong analytical skills with a track record of building and maintaining complex compensation models and translating outputs into clear recommendations for senior leaders.
• Demonstrated experience leveraging market data (Radford, Mercer, Levels.fyi, or similar) to benchmark and calibrate pay structures.
• Experience supporting performance cycles end-to-end, including alignment of compensation with review processes, calibration, and promotion decisions.

🏖️ 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.
• Salary range of $184,000 - $276,000 per year, depending on experience, skills, qualifications, and location.
• Equity in the form of stock options as part of total compensation.

Skills & Technologies

Onsite

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FluidStack Inc.

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About FluidStack Inc.

FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.

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