Fluidstack Logo

Fluidstack

Sourcing Manager, Mechanical

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
199K-262K Hourly
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
199K-262K Hourly
Senior level
Own procurement for data center mechanical category (CDUs, chillers, pumps, dry coolers, piping). Negotiate multi-year supply agreements, dual-source equipment, drive qualification of second sources, and coordinate specs with manufacturing and design to meet lead times and delivery schedules.
The summary above was generated by AI
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
  • Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

  • Insane urgency. We drive everything forward as fast as possible.

  • Reason from 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.

  • Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

The Supply Chain Team

Examples of key problems the team is working on

  • Supply tens of gigawatts of compute, the largest build out of compute in history. Qualify and dual-source across every critical equipment category, with lead-time and capacity thresholds tied directly to the forward build pipeline.

  • Make supply chain the reason we build faster than anyone. Our modular build redefines speed in this industry, and it lives or dies on supply chain. Keep procurement permanently off the critical path so schedule compression stays our advantage, not our constraint.

  • Build the most accurate supply chain prediction modelling that exists. Use the frontier of AI to forecast lead times, demand, and disruption with a precision the industry has never had, and turn that foresight into a structural edge.

Role Scope
  • Own the data center mechanical category: CDUs, chillers, pumps, dry coolers, and piping packages for liquid-cooled builds.

  • Negotiate supply agreements with mechanical OEMs covering price, lead time, and factory capacity across a multi-year pipeline.

  • Dual-source CDU and chiller platforms and drive the qualification work that makes the second source usable.

  • Coordinate with manufacturing and design so equipment specs freeze early enough to buy at the lead times the market gives.

What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • You've sourced major mechanical equipment (chillers, CDUs, AHUs, pumps) for data center or industrial programs.

  • You've negotiated with mechanical OEMs on multi-year committed volumes.

  • You know liquid cooling equipment well enough to challenge a spec or a price with substance.

  • You've managed factory schedules and witness points so delivery dates held.

  • Bonus: Direct-to-chip liquid cooling. Modular skid packages. Factory acceptance testing. Refrigerant and coolant markets.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Similar Jobs

A Minute Ago
Remote or Hybrid
USA
151K-180K Annually
Senior level
151K-180K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Manage strategic enterprise accounts in the fuel and convenience-store industries, guiding onboarding, retention, growth, and expansion. Build account plans, conduct performance reviews, interpret data, create reports and case studies, monitor account health, address churn risks, and identify expansion opportunities. Partner with analytics, product, marketing, and operations teams while maintaining relationships with senior client stakeholders. The role includes up to 20% travel.
Top Skills: GongOutreachSalesforce
14 Minutes Ago
Remote or Hybrid
US
130K-150K Annually
Senior level
130K-150K Annually
Senior level
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
Leads brand positioning and go-to-market narratives for CPG brands. Develops advertiser-facing materials and packages editorial opportunities using audience and marketplace insights. Partners with editorial, sales, strategy, design, and research teams to enable revenue-generating programs. Manages timelines, deliverables, storytelling quality, and process improvements across brand marketing workstreams.
Top Skills: KeynotePowerPoint
15 Minutes Ago
Remote
United States
128K-216K Annually
Senior level
128K-216K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Build scalable systems and machine learning models that transform satellite imagery into labeled geospatial data and production computer vision products. Responsibilities include developing data and annotation pipelines, tracking lineage and versioning, deploying inference services, evaluating models, supporting cloud infrastructure, and improving labeling workflows. The role requires strong Python, cloud, containerization, CI/CD, infrastructure-as-code, production support, and deep learning expertise, with preferred experience in GCP, Vertex AI, spatial databases, and satellite imagery.
Top Skills: Ci/CdCloud RunCloud SqlCloud StorageComputer VisionDeep LearningDockerFionaGdalGeopandasGeotiffGoogle Cloud PlatformIamInfrastructure As CodeKubeflow PipelinesMachine LearningPostgisPostgresPythonRasterioShapelyVertex AiVertex Ai PipelinesWorkflow Orchestration

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account