Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Cerebras Systems is seeking a Sr. Procure-to-Pay (P2P) Manager with expertise in process and system design, specifically covering direct procurement (product sourcing) or indirect procurement (services, tech, logistics). This role will drive operational transformation by designing, leading and optimizing the purchase order lifecycle, including accounts payable (AP), payments, audit processes, NetSuite integration, and other finance workflows.
This role requires a proactive problem solver with a strong ability to lead a team and manage enterprise-level projects, streamline operations, and drive impactful improvements in a fast-paced, dynamic environment.
Responsibilities- Procure-to-Pay Process & System Design: Lead the design and implementation of end-to-end P2P processes, ensuring seamless integration across merchandising, procurement, finance, and supply chain. Define system capabilities to support scalable purchase order creation, approvals, invoicing, and payments, optimizing accuracy and efficiency.
- Supplier & Procurement System Optimization: Establish structured vendor management and contract governance processes to enhance sourcing efficiency and cost optimization. Improve PO lifecycle tracking and compliance, ensuring financial accuracy and vendor accountability.
- Finance & Audit Process Enhancement: Streamline accounts payable and processes, ensuring alignment with financial controls and compliance requirements in a hybrid on-shore / off-shore environment. Implement audit-ready financial tracking systems, supporting cost visibility, reconciliation, and regulatory adherence for taxes.
- Technology & System Implementation: Collaborate with vendors, operations and finance teams to design system enhancements and integrations for NetSuite and other P2P-related platforms. Develop and leverage automation tools, data analytics, and workflow management systems to improve P2P cycle efficiency.
- Continuous Improvement & Operational Excellence: Identify inefficiencies and implement process reengineering to improve procurement, finance operations, and compliance workflows. Lead business process deployment plans, ensuring seamless execution and measurable outcomes.
- Stakeholder Collaboration: Partner with cross-functional teams, including supply chain operations, engineering, legal , sales and finance to align P2P processes with broader business objectives. Ensure effective communication and collaboration across departments to drive initiatives and achieve project goals.
- Develop and maintain key performance indicators (KPIs) to measure the effectiveness and efficiency of P2P processes. Provide regular reports and insights to senior management, highlighting areas for improvement and success.
- 8+ years of professional experience in supply chain procurement, or financial operations, with a focus on Procure-to-Pay (P2P), Finance Operations or Process Optimization.
- Extensive knowledge of purchase order lifecycle, accounts payable (AP), audit processes and payment financial controls.
- Strong expertise in NetSuite, ERP systems, and automation tools related to P2P and financial workflows.
- Proven ability to independently manage large-scale, cross-functional projects in a fast-paced, high-growth environment.
- Data-driven mindset with experience in analyzing financial and operational data to drive decision-making.
- Excellent problem-solving and communication skills, with the ability to collaborate effectively across teams.
- Experience in hardware and services multinational procurement environments.
- Preferred: Experience working with multicultural or diverse teams.
- Preferred: Experience in process improvement methodologies (e.g., Lean, Six Sigma) and their application in finance and supply chain.
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2. Join us: https://cerebras.net/careers/
