Negotiate and close large EPC/design-build contracts for multi-hundred-MW data center construction. Own change orders, build repeatable contract playbooks, and quarterback across legal/finance/procurement teams to deliver at extreme speed and scale.
Own workplace experience and operations for all Fluidstack offices worldwide. Stand up new offices end-to-end (lease to move-in), manage vendors/budgets, build playbooks for faster openings, and partner with People/IT/Security teams.
Own monthly/quarterly financial close, build technical accounting policies for massive data center capex, stand up reporting systems from the ground up, run clean external audits, and compress close cycles at a fast-scaling AI compute infrastructure company.
Own the editorial voice and content strategy for a technical AI infrastructure company. Turn complex technical work into respected long-form narratives, essays, and launch messaging while building and running a high-velocity editorial pipeline.
Own the schedule, milestones, and daily operations for production lines building modular data center components. Drive throughput gains, clear bottlenecks, coordinate cross-functionally with manufacturing, supply chain, and design teams, and deliver real-time reporting to leadership.
Build and maintain demand, lead-time, and capacity forecasts for critical data center equipment to keep multi-GW AI compute build pipelines on schedule. Partner with procurement using data-driven models and dashboards to mitigate risks and optimize multi-hundred-million-dollar commitments.
Own document control and configuration management for multi-site datacenter construction. Ensure all drawings, specs, and revisions follow approved baselines, enforce workflows across design firms/EPCs/vendors, and maintain traceable audit trails to prevent build errors.
Own end-to-end ASC 740 income tax provisions for a rapidly scaling multi-jurisdictional data center company. Build processes/controls from scratch, manage external advisors/auditors, model tax impacts of expansion, and partner with accounting/FP&A on closes and disclosures.
Build and operate high-frequency facilities telemetry data pipelines (power, cooling, BMS, sensors) for scaling AI data centers. Stand up ingestion/streaming infrastructure, automate deployments with IaC, and own end-to-end reliability for gigawatt-scale operations.
Source, diligence, negotiate, and secure powered land and brownfield sites delivering hundreds of MW to GWs of capacity for AI data centers. Requires hands-on experience closing power-constrained land deals, reading interconnection queues, running full diligence, and managing pipelines while moving faster than counterparties.
Build and run the global spares sourcing program for critical datacenter equipment (chillers, generators, switchgear) at multi-GW scale. Qualify/dual-source suppliers, set stocking levels tied to failure data and criticality, negotiate VMI/consignment terms, and partner with reliability teams to ensure zero downtime from parts shortages.
Senior Manager owning technical accounting memos for complex data center transactions (revenue, leases, equity), running financial close, building policies/controls from scratch, and managing external audits as the company scales toward public readiness. Requires experience with novel transactions, GAAP reporting, and audit scrutiny.
Lead end-to-end incident response for frontier AI infrastructure, building detection logic, playbooks, and forensic tooling from the ground up while investigating threats across cloud, endpoint, network, and physical systems at gigawatt scale. Requires hands-on experience leading major incidents, proactive threat hunting, and standing up IR programs.
Lead brand and content strategy for a fast-scaling AI infrastructure company. Build the content engine, own narrative and launches, set voice/visual standards, and hire/direct a high-output creative team to make deeply technical work credible to engineers and AI labs.
Design, deploy, and standardize SCADA architecture and telemetry for real-time monitoring and control of power, cooling, and mechanical systems at gigawatt-scale AI data centers. Requires experience commissioning industrial control systems, integrating protocols, building trusted HMIs/alarms, and ensuring data quality for operations.
Build and own financial models for multi-billion-dollar AI data center projects, support capital raises, partner on deal pricing and economics, and deliver recommendations to CEO/CFO on capital deployment. Requires building models from scratch used for investment decisions, experience in capital raises or project finance, and moving fast in ambiguous environments.
Build and automate on-site IT infrastructure (networks, identity, endpoints) for gigawatt-scale AI data center campuses. Own multi-tenant security, repeatable deployments, and rapid incident response for fast-growing field/construction teams.
Drive the People Analytics and Workday roadmap, delivering actionable insights through Fabric dashboards while ensuring data governance, global compliance, and system adoption for data-driven People strategies.
Lead and build Anthropic's Growth Engineering team to drive user acquisition, activation, and retention through technical experimentation, A/B testing frameworks, and data-driven optimization. Requires strong full-stack background, prior growth engineering leadership experience, and cross-functional collaboration with product, marketing, and data science.
Own manufacturing engineering for heavy chassis fabrication and weldment production at Fluidstack, developing process plans, launching lines, running PFMEAs, and driving yield/cycle time improvements for AI data center infrastructure.
Lead the hardware qualification lab for next-gen compute, network, and rack systems ahead of large-scale AI infrastructure deployment. Own qualification roadmap, lab operations, vendor relationships, and final standardization decisions backed by test data.
Lead mechanical engineering R&D for cooling, piping, and mechanical systems in modular data centers and power infrastructure. Own reference designs, enforce technical standards, review vendor packages, and grow the team while solving the hardest problems.
Own QA for capacity delivery engineering at Fluidstack, building QA programs, checklists, and acceptance criteria for data center builds. Audit vendors, close NCRs at root cause, and feed lessons back into designs for large-scale AI compute infrastructure.
Mechanical Engineer responsible for designing and modeling demand-flexible cooling systems for AI data centers, including thermal inertia modeling, field validation, and turning cooling infrastructure into a grid asset. Requires experience with dynamic thermal modeling and HVAC systems for data centers or industrial plants.
Senior Manager owning global indirect tax (VAT/GST/sales & use) for a fast-growing AI data center company. Build compliance, registrations, filings, reclaims, and advise on structuring from first principles across multiple countries.
Fire Protection Engineer responsible for designing detection, suppression, and alarm systems for AI data center modular units and plants. Owns hydraulic calculations, layouts, standardized fabrication designs, permitting, and commissioning for mission-critical facilities.
Own production equipment end-to-end from URS through SAT, vendor selection, FAT, installation, integration into controls/data systems for OEE/MES, and post-handoff uptime/cycle-time improvements. Requires hands-on experience launching automation cells, running FATs, integrating sensors/drives/logic, and completing installs with training/spares/documentation.
Own the consumables category (coolant, filters, PPE, spares) for Fluidstack's massive AI compute buildout. Set stocking strategies, negotiate national agreements, standardize SKUs, and build automated consumption-based replenishment systems across multiple data center sites.
Engineer modular data center products across structures, enclosures, and MEP systems from concept through released drawings and production support. Requires hands-on experience with complex physical products or modular construction, cross-disciplinary problem solving, and clean fabrication-ready drawings.
Own manufacturing engineering for mechanical, electrical, and controls module assembly. Build and launch assembly processes, balance lines to takt, drive ramp improvements in hours per unit and first-pass yield.
Own end-to-end manufacturing launch from factory installation through first units to full rate production. Run daily war room, drive cross-functional decisions, recover at-risk ramps, and document playbooks for faster subsequent factory launches.
Lead operations representation in R&D for AI compute infrastructure. Own operability requirements, build O&M foundations, and run reviews to ensure maintainable designs for data centers and critical facilities.
Mechanical engineer owning BESS enclosure design, thermal management (validated by test), and behind-the-meter site integration for AI data center energy storage. Requires experience with power electronics or thermal-critical systems, safety codes like NFPA 855, vendor evaluation, and field deployment support.
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
Tech lead setting technical direction and building core pieces of an internal platform for AI compute infrastructure, including orchestration, integrations, and shared systems. Requires experience designing platforms others depend on, high-bar code review, and daily use of AI coding tools.
Mechanical Engineer designing and productionizing robotics systems for data center automation, focusing on end effectors, docking interfaces, rapid prototyping, reliability testing, and integration with controls/software teams. Requires robotics/mechatronics hardware experience from prototype to production.
Build and maintain site-level capex, opex, and cash forecasts for AI data centers. Own monthly forecast cycles, model scenarios rapidly, and automate pipelines from source systems. Requires strong experience building infrastructure forecasts, expert Excel/SQL skills, and auditable modeling.
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own software for hardware new product introduction at Fluidstack, including test orchestration, benchmark automation, data pipelines, and lab-to-fleet validation tooling. Requires experience with hardware test/lab software, turning manual workflows into pipelines, and production Python/Go.
Build and maintain coordinated BIM models (mechanical, electrical, structural) for data center projects. Run clash detection and resolution, automate modeling with scripts and templates, and produce model-derived drawings and schedules. Requires BIM production experience on complex industrial projects plus scripting skills.
Own and engineer industrial paint line and surface treatment processes (pretreatment, coating, cure) for data center hardware at production scale. Ensure quality, adhesion, compliance, and root-cause problem solving for liquid/powder coatings.
Lead a small high-velocity engineering team building internal operational software and tools for AI compute infrastructure buildout. Stay hands-on coding while owning priorities, delivery, engineer growth, hiring, and cross-functional product decisions.
Build and own daily production schedules in a high-velocity manufacturing environment for AI compute infrastructure. Maintain accurate MRP data, replan rapidly around constraints and shortages, coordinate with supply chain, and drive schedule adherence.
Engineer virtualized PLC platform for data center controls, porting industrial control logic to software-defined infrastructure while preserving determinism, safety, and real-time performance. Requires professional PLC programming experience and knowledge of virtualization for controls.
Own robotic weld cells for structural steel in AI data center production. Develop GMAW programs, commission cells, solve distortion/penetration issues, and drive first-pass yield using production data and WPS discipline.
Build and ship software that automates data center commissioning, including test orchestration, data capture, pass-fail analysis, and live reporting by integrating with BMS, EPMS, and test equipment. Requires experience building test automation or orchestration systems for hardware/infrastructure and replacing manual processes with trusted software.
Design and own production tooling and fixtures (weld fixtures, assembly jigs, lifting tools) from concept through validation, lifecycle management, and operator-focused design for high-volume fabrication/assembly. Requires proven experience designing fixtures that hold tolerance at rate using proper stack-ups and capability studies.
Counsel responsible for drafting, reviewing, and negotiating commercial contracts (customer, supplier, NDAs) end-to-end. Provides direct business advice, builds self-serve templates, and prioritizes speed in high-velocity AI infrastructure company. Requires independent deal experience and active law license.
Own global sourcing and supplier negotiations for manufacturing facilities equipment, fit-out, and services to support rapid production ramps. Requires proven experience sourcing capital equipment at scale, building supplier redundancy, and negotiating from should-cost models.
Design, produce build packages for, integrate, and support deployment of physical security systems (access control, video, intrusion, perimeter) for AI data centers. Requires hands-on experience engineering these systems for critical facilities and coordinating with electrical/IT teams.
Negotiate and close large EPC/design-build contracts for multi-hundred-MW data center construction. Own change orders, build repeatable contract playbooks, and quarterback across legal/finance/procurement teams to deliver at extreme speed and scale.
Own workplace experience and operations for all Fluidstack offices worldwide. Stand up new offices end-to-end (lease to move-in), manage vendors/budgets, build playbooks for faster openings, and partner with People/IT/Security teams.
Own monthly/quarterly financial close, build technical accounting policies for massive data center capex, stand up reporting systems from the ground up, run clean external audits, and compress close cycles at a fast-scaling AI compute infrastructure company.
Own the editorial voice and content strategy for a technical AI infrastructure company. Turn complex technical work into respected long-form narratives, essays, and launch messaging while building and running a high-velocity editorial pipeline.
Own the schedule, milestones, and daily operations for production lines building modular data center components. Drive throughput gains, clear bottlenecks, coordinate cross-functionally with manufacturing, supply chain, and design teams, and deliver real-time reporting to leadership.
Build and maintain demand, lead-time, and capacity forecasts for critical data center equipment to keep multi-GW AI compute build pipelines on schedule. Partner with procurement using data-driven models and dashboards to mitigate risks and optimize multi-hundred-million-dollar commitments.
Own document control and configuration management for multi-site datacenter construction. Ensure all drawings, specs, and revisions follow approved baselines, enforce workflows across design firms/EPCs/vendors, and maintain traceable audit trails to prevent build errors.
Own end-to-end ASC 740 income tax provisions for a rapidly scaling multi-jurisdictional data center company. Build processes/controls from scratch, manage external advisors/auditors, model tax impacts of expansion, and partner with accounting/FP&A on closes and disclosures.
Build and operate high-frequency facilities telemetry data pipelines (power, cooling, BMS, sensors) for scaling AI data centers. Stand up ingestion/streaming infrastructure, automate deployments with IaC, and own end-to-end reliability for gigawatt-scale operations.
Source, diligence, negotiate, and secure powered land and brownfield sites delivering hundreds of MW to GWs of capacity for AI data centers. Requires hands-on experience closing power-constrained land deals, reading interconnection queues, running full diligence, and managing pipelines while moving faster than counterparties.
Build and run the global spares sourcing program for critical datacenter equipment (chillers, generators, switchgear) at multi-GW scale. Qualify/dual-source suppliers, set stocking levels tied to failure data and criticality, negotiate VMI/consignment terms, and partner with reliability teams to ensure zero downtime from parts shortages.
Senior Manager owning technical accounting memos for complex data center transactions (revenue, leases, equity), running financial close, building policies/controls from scratch, and managing external audits as the company scales toward public readiness. Requires experience with novel transactions, GAAP reporting, and audit scrutiny.
Lead end-to-end incident response for frontier AI infrastructure, building detection logic, playbooks, and forensic tooling from the ground up while investigating threats across cloud, endpoint, network, and physical systems at gigawatt scale. Requires hands-on experience leading major incidents, proactive threat hunting, and standing up IR programs.
Lead brand and content strategy for a fast-scaling AI infrastructure company. Build the content engine, own narrative and launches, set voice/visual standards, and hire/direct a high-output creative team to make deeply technical work credible to engineers and AI labs.
Design, deploy, and standardize SCADA architecture and telemetry for real-time monitoring and control of power, cooling, and mechanical systems at gigawatt-scale AI data centers. Requires experience commissioning industrial control systems, integrating protocols, building trusted HMIs/alarms, and ensuring data quality for operations.
Build and own financial models for multi-billion-dollar AI data center projects, support capital raises, partner on deal pricing and economics, and deliver recommendations to CEO/CFO on capital deployment. Requires building models from scratch used for investment decisions, experience in capital raises or project finance, and moving fast in ambiguous environments.
Build and automate on-site IT infrastructure (networks, identity, endpoints) for gigawatt-scale AI data center campuses. Own multi-tenant security, repeatable deployments, and rapid incident response for fast-growing field/construction teams.
Drive the People Analytics and Workday roadmap, delivering actionable insights through Fabric dashboards while ensuring data governance, global compliance, and system adoption for data-driven People strategies.
Lead and build Anthropic's Growth Engineering team to drive user acquisition, activation, and retention through technical experimentation, A/B testing frameworks, and data-driven optimization. Requires strong full-stack background, prior growth engineering leadership experience, and cross-functional collaboration with product, marketing, and data science.
Own manufacturing engineering for heavy chassis fabrication and weldment production at Fluidstack, developing process plans, launching lines, running PFMEAs, and driving yield/cycle time improvements for AI data center infrastructure.
Lead the hardware qualification lab for next-gen compute, network, and rack systems ahead of large-scale AI infrastructure deployment. Own qualification roadmap, lab operations, vendor relationships, and final standardization decisions backed by test data.
Lead mechanical engineering R&D for cooling, piping, and mechanical systems in modular data centers and power infrastructure. Own reference designs, enforce technical standards, review vendor packages, and grow the team while solving the hardest problems.
Own QA for capacity delivery engineering at Fluidstack, building QA programs, checklists, and acceptance criteria for data center builds. Audit vendors, close NCRs at root cause, and feed lessons back into designs for large-scale AI compute infrastructure.
Mechanical Engineer responsible for designing and modeling demand-flexible cooling systems for AI data centers, including thermal inertia modeling, field validation, and turning cooling infrastructure into a grid asset. Requires experience with dynamic thermal modeling and HVAC systems for data centers or industrial plants.
Senior Manager owning global indirect tax (VAT/GST/sales & use) for a fast-growing AI data center company. Build compliance, registrations, filings, reclaims, and advise on structuring from first principles across multiple countries.
Fire Protection Engineer responsible for designing detection, suppression, and alarm systems for AI data center modular units and plants. Owns hydraulic calculations, layouts, standardized fabrication designs, permitting, and commissioning for mission-critical facilities.
Own production equipment end-to-end from URS through SAT, vendor selection, FAT, installation, integration into controls/data systems for OEE/MES, and post-handoff uptime/cycle-time improvements. Requires hands-on experience launching automation cells, running FATs, integrating sensors/drives/logic, and completing installs with training/spares/documentation.
Own the consumables category (coolant, filters, PPE, spares) for Fluidstack's massive AI compute buildout. Set stocking strategies, negotiate national agreements, standardize SKUs, and build automated consumption-based replenishment systems across multiple data center sites.
Engineer modular data center products across structures, enclosures, and MEP systems from concept through released drawings and production support. Requires hands-on experience with complex physical products or modular construction, cross-disciplinary problem solving, and clean fabrication-ready drawings.
Own manufacturing engineering for mechanical, electrical, and controls module assembly. Build and launch assembly processes, balance lines to takt, drive ramp improvements in hours per unit and first-pass yield.
Own end-to-end manufacturing launch from factory installation through first units to full rate production. Run daily war room, drive cross-functional decisions, recover at-risk ramps, and document playbooks for faster subsequent factory launches.
Lead operations representation in R&D for AI compute infrastructure. Own operability requirements, build O&M foundations, and run reviews to ensure maintainable designs for data centers and critical facilities.
Mechanical engineer owning BESS enclosure design, thermal management (validated by test), and behind-the-meter site integration for AI data center energy storage. Requires experience with power electronics or thermal-critical systems, safety codes like NFPA 855, vendor evaluation, and field deployment support.
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
Tech lead setting technical direction and building core pieces of an internal platform for AI compute infrastructure, including orchestration, integrations, and shared systems. Requires experience designing platforms others depend on, high-bar code review, and daily use of AI coding tools.
Mechanical Engineer designing and productionizing robotics systems for data center automation, focusing on end effectors, docking interfaces, rapid prototyping, reliability testing, and integration with controls/software teams. Requires robotics/mechatronics hardware experience from prototype to production.
Build and maintain site-level capex, opex, and cash forecasts for AI data centers. Own monthly forecast cycles, model scenarios rapidly, and automate pipelines from source systems. Requires strong experience building infrastructure forecasts, expert Excel/SQL skills, and auditable modeling.
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own software for hardware new product introduction at Fluidstack, including test orchestration, benchmark automation, data pipelines, and lab-to-fleet validation tooling. Requires experience with hardware test/lab software, turning manual workflows into pipelines, and production Python/Go.
Build and maintain coordinated BIM models (mechanical, electrical, structural) for data center projects. Run clash detection and resolution, automate modeling with scripts and templates, and produce model-derived drawings and schedules. Requires BIM production experience on complex industrial projects plus scripting skills.
Own and engineer industrial paint line and surface treatment processes (pretreatment, coating, cure) for data center hardware at production scale. Ensure quality, adhesion, compliance, and root-cause problem solving for liquid/powder coatings.
Lead a small high-velocity engineering team building internal operational software and tools for AI compute infrastructure buildout. Stay hands-on coding while owning priorities, delivery, engineer growth, hiring, and cross-functional product decisions.
Build and own daily production schedules in a high-velocity manufacturing environment for AI compute infrastructure. Maintain accurate MRP data, replan rapidly around constraints and shortages, coordinate with supply chain, and drive schedule adherence.
Engineer virtualized PLC platform for data center controls, porting industrial control logic to software-defined infrastructure while preserving determinism, safety, and real-time performance. Requires professional PLC programming experience and knowledge of virtualization for controls.
Own robotic weld cells for structural steel in AI data center production. Develop GMAW programs, commission cells, solve distortion/penetration issues, and drive first-pass yield using production data and WPS discipline.
Build and ship software that automates data center commissioning, including test orchestration, data capture, pass-fail analysis, and live reporting by integrating with BMS, EPMS, and test equipment. Requires experience building test automation or orchestration systems for hardware/infrastructure and replacing manual processes with trusted software.
Design and own production tooling and fixtures (weld fixtures, assembly jigs, lifting tools) from concept through validation, lifecycle management, and operator-focused design for high-volume fabrication/assembly. Requires proven experience designing fixtures that hold tolerance at rate using proper stack-ups and capability studies.
Counsel responsible for drafting, reviewing, and negotiating commercial contracts (customer, supplier, NDAs) end-to-end. Provides direct business advice, builds self-serve templates, and prioritizes speed in high-velocity AI infrastructure company. Requires independent deal experience and active law license.
Own global sourcing and supplier negotiations for manufacturing facilities equipment, fit-out, and services to support rapid production ramps. Requires proven experience sourcing capital equipment at scale, building supplier redundancy, and negotiating from should-cost models.
Design, produce build packages for, integrate, and support deployment of physical security systems (access control, video, intrusion, perimeter) for AI data centers. Requires hands-on experience engineering these systems for critical facilities and coordinating with electrical/IT teams.