Global Supply Manager
Cotidal
Global Supply Manager
Cotidal
AI-focused supercomputing infrastructure provider
Supercomputing built for AI.
Cotidal is building the computing infrastructure that AI companies and research labs need to train and run their models. Starting with TPUs, we design the hardware and software together around their workloads, with the goal of making powerful AI chips easier to use at scale.
Our mission is endless compute for humanity. Over time, we want customers to choose across chip stacks without rebuilding their infrastructure.
We’re hiring a Global Supply Manager, Data Center Networking to own sourcing and supply for the network hardware that connects Cotidal’s AI clusters. You will build and validate suppliers internationally, negotiate commercial agreements and secure equipment that meets our cost, quality and delivery needs.
Your scope includes data center switches, routers, firewalls, NICs, optical transceivers, AOCs/DACs, structured cabling including MPO/MTP fiber and copper, and patch panels. You will work closely with network engineering, hardware and deployment teams to get this equipment delivered in time for our data center roadmap.
Build and manage a global supplier base for data center network equipment, including OEMs, ODMs, distributors and integrators across North America, Europe and Asia.
Own RFIs, RFQs and RFPs, competitive bidding and supplier awards. Evaluate cost, lead times, quality and delivery to select suppliers and manage supply.
Negotiate pricing, payment terms, warranties and short- and long-term commercial agreements, including MSAs, terms and conditions, and pricing agreements.
Secure manufacturing slots and reserve capacity for long-lead equipment and supply-constrained SKUs. Work with suppliers on capacity allocation to meet data center build schedules.
Track orders from purchase order through delivery, including factory tests, expediting, logistics and site receipt.
Partner with engineering on specifications, BOMs and value engineering. Qualify alternate suppliers to reduce supply risk.
Monitor market conditions, lead times, commodity prices and tariffs. Identify supply risks and adjust sourcing strategies as conditions change.
Manage supplier performance, resolve quality issues and lead supplier escalations.
3 to 5+ years of hands-on experience in strategic sourcing, procurement or supply chain, with at least 2–3 years focused on data centers.
Hands-on experience procuring data center switches, routers, firewalls, NICs, optical transceivers, AOCs/DACs, structured cabling including MPO/MTP fiber and copper, and patch panels.
A track record of negotiating multi-million-dollar contracts and framework agreements.
Strong relationships with major OEMs, ODMs and channel partners.
Experience managing suppliers across multiple regions and time zones.
A bachelor’s degree in supply chain, engineering, business or a related field, or equivalent experience.
Ability to work onsite from our Palo Alto office and travel 25–40% domestically and internationally.
Experience in one or more of the following:
A background at a hyperscale company, colocation provider, neocloud or OEM.
Knowledge of tariffs, import/export and international logistics.
Startup experience and comfort working with limited process.
Help secure the network hardware that connects our AI infrastructure. Your work will connect supplier capability, cost and manufacturing capacity with the dates when our data center deployments can come online.
Help shape the foundations of an early company through direct discussion and work across network engineering, hardware, deployment and supply chain.
Location: Palo Alto, in person.
Travel: 25–40% domestically and internationally is required.
Compensation: Competitive salary and equity.
Visa sponsorship: We sponsor work visas and help you navigate the process.
Benefits: Medical, dental, and vision coverage, unlimited PTO, and relocation support as needed.
Cotidal builds specialized AI compute infrastructure, creating supercomputers for training and running large AI models for leading AI companies and research labs. Its approach pairs hardware and software in a single design, engineering silicon, code, and data-center deployment together to maximize performance for AI workloads; initially it centers on TPUs with a goal of supporting multiple chip stacks later. This holistic co-design differentiates Cotidal from vendors that sell hardware or software separately, aiming for hardware-agnostic efficiency as chip tech evolves. Its goal is to speed breakthroughs in AI by providing scalable, integrated compute for fields like medicine, physics, and robotics.
Explore more opportunities at Cotidal