Full-Time
Sales Compensation Specialist
Posted on 5/7/2025
CoreWeave
1,001-5,000 employees
GPU-accelerated cloud computing platform
Compensation Overview
$103k - $123k/yr
Livingston, NJ, USA + 2 more
More locations: Philadelphia, PA, USA | New York, NY, USA
Hybrid
Hybrid role; remote may be considered for candidates >30 miles from an office.
 People & HR (1) |
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- 5+ years in Sales Compensation, Sales Operations, Finance, or Revenue Operations in a B2B tech environment.
- Deep understanding of sales compensation models, quota setting, and incentive structures in high-growth SaaS or technology companies.
- Strong analytical and problem-solving skills, with expertise in Excel, Google Sheets, and data visualization tools.
- Experience with CRM (Salesforce), compensation management software, and financial modeling.
- High attention to detail with the ability to manage multiple compensation plans across diverse teams.
- Strong communication and stakeholder management skills, ensuring alignment across Sales, Finance, and HR.
- Design, implement, and manage sales compensation plans that align with company objectives, revenue goals, and industry best practices.
- Administer sales compensation programs, ensuring timely and accurate calculation of commissions, bonuses, and incentives.
- Collaborate with Finance, Sales, and Revenue Operations to ensure compensation plans are structured for scalability, profitability, and sales performance alignment.
- Provide strategic analysis on compensation plan effectiveness, making recommendations for enhancements that drive sales productivity and business growth.
- Ensure compliance with policies and governance standards around incentive payouts, maintaining transparency and consistency across teams.
- Develop dashboards and reports to track sales performance metrics, incentive attainment, and payout accuracy.
- Optimize commission processing workflows, reducing errors and manual intervention while increasing efficiency.
- Support annual and quarterly planning cycles by modeling compensation structures, quota setting, and cost analysis.
- Educate and enable sales teams on compensation plan structures, incentive opportunities, and payout mechanics.
- Partner with HR and leadership to align compensation plans with broader talent strategies and retention efforts.
- Experience managing commission plans in SaaS, AI, or cloud infrastructure environments.
- Knowledge of subscription-based and enterprise contract sales models.
- Familiarity with CPQ tools, incentive automation platforms, and sales forecasting methodologies.
- Background in sales performance analytics, compensation benchmarking, or total rewards strategy.
- Ability to translate complex compensation models into clear, actionable insights for executives and sales teams.
CoreWeave provides cloud computing resources tailored for GPU-accelerated workloads. It offers high-performance, pay-as-you-go access to NVIDIA GPU hardware hosted on bare-metal servers managed by Kubernetes, enabling tasks such as Generative AI, machine learning, LLM inference, VFX rendering, and pixel streaming. Users run GPU-intensive workloads on a fully managed, serverless Kubernetes platform without needing to own or manage the underlying hardware. The company differentiates itself by specializing in GPU workloads, offering a wide range of NVIDIA GPUs, and reducing operational burden through its bare-metal, Kubernetes-based infrastructure. CoreWeave’s goal is to deliver scalable, cost-efficient, high-performance infrastructure for AI, HPC, and digital content creation workloads.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Livingston, New Jersey
Founded
2017
Simplify's Take
What believers are saying
- NVIDIA partnership supports more than 5 gigawatts of AI factories by 2030.
- Core Scientific acquisition expands owned power to about 1.3 GW.
- 112% Q1 2026 revenue growth shows strong demand despite losses.
What critics are saying
- $24.8 billion debt makes refinancing and liquidity highly sensitive to utilization swings.
- Heavy dependence on NVIDIA concentrates supply, pricing, and roadmap risk.
- Major customer concentration exposes revenue to hyperscaler insourcing and contract loss.
What makes CoreWeave unique
- AI-native, Kubernetes-based GPU cloud built for accelerated workloads.
- First to validate NVIDIA Vera Rubin NVL72 at rack scale.
- Purpose-built software stack supports training, inference, and agentic AI workflows.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Tuition Reimbursement
Mental Health Support
Family Planning Benefits
Paid Parental Leave
Hybrid Work Options
401(k) Company Match
Unlimited Paid Time Off
Catered lunch each day in our office and data center locations
A casual work environment
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 3%2 year growth
↑ 5%Google and Blackstone launch AI infrastructure venture to challenge Nvidia. Google and Blackstone launched a new U.S.-based AI infrastructure company built around Google's TPU chips, aiming to compete with Nvidia and cloud computing firms like CoreWeave. Google and Blackstone announced the launch of a new artificial intelligence infrastructure venture designed to compete directly with Nvidia in the rapidly expanding AI computing market. The U.S.-based company will provide cloud infrastructure powered by Google's proprietary TPU chips, which are specifically designed for training and running advanced neural networks and AI models. Analysts describe the initiative as one of the most significant attempts yet to challenge Nvidia's dominance in AI accelerators and high-performance computing infrastructure. The project is also expected to compete directly with AI cloud providers such as CoreWeave, which have benefited heavily from surging demand for AI computing capacity. Google expands TPU ecosystem. Google has spent years developing its Tensor Processing Units internally to support products including search, Gemini, cloud services, and AI model training. The partnership with Blackstone signals a broader effort to commercialize Google's AI hardware ecosystem at much larger scale. Investor interest in AI infrastructure has accelerated dramatically as demand for compute power continues outpacing available supply across cloud and data center markets. Analysts note that TPU-based systems could provide an alternative for enterprises seeking to reduce dependence on Nvidia GPUs, which currently dominate the AI hardware landscape. The venture may also help Google strengthen the position of its cloud business by integrating proprietary AI hardware directly into large-scale enterprise computing services. Competition for AI infrastructure intensifies. The announcement highlights how competition in artificial intelligence is increasingly shifting from software applications toward underlying infrastructure and compute capacity. Major technology companies and investment firms are now racing to secure access to chips, electricity, networking systems, and data center resources needed to support AI growth. Blackstone's involvement underscores how private capital is flowing aggressively into AI infrastructure as investors view computing capacity as one of the world's most valuable strategic assets. At the same time, Nvidia remains the dominant player in the AI accelerator market, with its GPUs continuing to power much of the global AI ecosystem. Still, growing demand and supply constraints are creating opportunities for alternative hardware platforms and cloud providers to expand market share. The broader takeaway is that the AI race is evolving into a battle over infrastructure ownership, where chips, data centers, and compute resources are becoming as strategically important as the AI models themselves.
Nvidia has increased its stake in AI cloud infrastructure company CoreWeave to 11%, valued at approximately $3.66 billion, as it expands its strategy beyond GPU manufacturing. The investment ties Nvidia's future to AI cloud infrastructure growth. CoreWeave has secured major contracts with Meta, Jane Street, Anthropic and Perplexity AI, demonstrating strong market demand despite current losses and stock price challenges. The company specialises in AI infrastructure services. Nvidia's investment represents a strategic shift towards shaping and financing the broader AI ecosystem. The move signals the chipmaker's ambition to drive long-term growth through infrastructure investments alongside its core chip sales business.
CoreWeave, a specialized cloud provider, delivering a massive range of gpu compute resources on demand and at scale. Here you'll find information about their funding, investors and team.
Jane Street Group, a trading firm, has taken an additional $1 billion stake in AI cloud services provider CoreWeave Inc. and plans to spend about $6 billion on the company’s technology offerings.
Two AI infrastructure providers, Nebius Group and CoreWeave, are competing for dominance in the GPU compute leasing market. Nebius has outperformed year-to-date, rising 70% compared to CoreWeave's 40%, though both have surged since their IPOs last March. Nebius reported fourth-quarter revenue of $227.7 million, up 547% year-over-year, and guided 2026 revenue to $33.4 billion. The company secured a $27 billion deal with Meta Platforms and received a $2 billion investment from Nvidia for joint infrastructure development. Nebius targets over 3 gigawatts of contracted power by year-end 2026. CoreWeave posted fiscal 2025 revenue of $5.13 billion with a revenue backlog of $66.8 billion. Analysts project 2026 revenue around $12.5 billion, roughly four times Nebius's estimate, positioning CoreWeave as the larger-scale player.