Provides multilingual customer support for business travelers by managing air, rail, hotel, car, and other travel bookings across chat, phone, and email. Requires 5+ years of travel consulting experience, GDS expertise, and fluency in English and French.

Provides multilingual travel support across chat, calls, and email, handling air, rail, hotel, and other bookings while resolving urgent customer issues. Requires 5+ years of travel consulting experience, 3+ years with a GDS, and fluency in English and Spanish.

Owns the full sales cycle for net-new mid-market customers in Berlin, from outbound prospecting through close and launch. The role requires 5+ years of closing experience, enterprise stakeholder selling, experience with $100,000+ deals, and fluency in German and English.

Provides multilingual customer support for air, rail, hotel, and other travel bookings through chat, phone, and email. The role requires 5+ years of travel consulting experience, GDS expertise, and fluency in English and Italian.

Provides multilingual customer support for business travelers by managing air, rail, hotel, and other travel bookings through chat, phone, and email. Requires 5+ years of travel consulting experience, GDS expertise, and fluency in English and German.

Provides multichannel support for corporate and leisure travelers, handling complex bookings, ticketing, and itinerary issues. Requires at least five years of business travel booking experience, advanced Sabre or Amadeus expertise, and fluency in German.

Account Executive responsible for prospecting, managing full-cycle sales, closing complex net-new deals, and launching customers in the UK&I territory. The role requires at least three years of closing and C-level sales experience, strong outbound skills, and a record of exceeding quotas.

Technical Program Manager responsible for executing Fluidstack's security program across physical, logical, and datacenter domains. Drive cross-functional deliverables, compliance initiatives, risk tracking, and operating rhythms to secure frontier AI compute infrastructure.

Regional Sales Manager responsible for owning enterprise sales strategy, closing new business with enterprise and MSSP clients, and building channel partnerships across the Western US. Requires 5+ years selling cybersecurity solutions with a proven quota-crushing track record.

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.

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 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.

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.

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.

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 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.

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.

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.

Execute hardware qualification programs for AI compute infrastructure, owning test benches, logging and triaging failures, and maintaining labs with server-class hardware. Requires hands-on hardware test/validation/lab experience, precise test execution, and organized failure documentation.

Qualify and benchmark next-generation GPU and server hardware for AI compute infrastructure. Hands-on validation, stress testing, root-causing failures, and documenting fleet standards for large-scale data center deployment.

Run end-to-end multi-state payroll for a rapidly scaling 24/7 data center workforce, owning close processes, reconciliations, new state setups, and automation of inputs from time data through equity events.

Build and ship production software for data center robotics including task planning, fleet coordination, autonomy behaviors, and operational tooling with remote monitoring and diagnostics. Requires experience shipping robot/autonomous systems software with ROS on real hardware, plus strong integration and remote failure engineering skills.

Secure Fluidstack's corporate environment end-to-end including identity, endpoints, SaaS, email, and zero-trust access for a rapidly growing workforce. Build detections, automate controls as code, and respond to incidents protecting frontier AI infrastructure.

Own and optimize CNC/structural steel processing operations including programming beam lines, plate processors, nesting for yield, equipment commissioning, tooling, and preventive maintenance to maintain takt and uptime in heavy fabrication for AI data centers.

Engineer and own the full robot control stack for data center robotics, including motion controls, functional safety architecture, fleet integration, and on-site commissioning to achieve high availability targets. Requires production experience with robotic controls, safety systems, and cross-domain debugging.

Controls Engineer responsible for designing, programming, integrating, and commissioning BMS controls for data center mechanical and electrical systems, including sequences, logic, and third-party equipment integration using protocols like BACnet and Modbus. Requires hands-on BMS experience in large facilities, writing sequences, and commissioning work.

Own end-to-end revenue accounting for complex compute and colocation contracts under ASC 606, from pre-signature contract review through monthly close, billing, deferrals, recognition, and NetSuite automation at a fast-growing AI compute infrastructure company.

Own end-to-end supplier integration, performance management, and system connectivity to synchronize supplier capacity, quality, and delivery with manufacturing build plans. Requires prior experience managing supplier launches, recovering failing suppliers, and connecting processes to ERP/MRP systems.

Coordinate tenant improvement construction, track against production ramp, manage punch/turnover and construction paperwork (RFIs, submittals, change orders) for AI data center factories. Requires commercial/industrial construction coordination experience from owner/GC side and managing TI in operating facilities.

Own compute and storage sourcing (GPU servers, storage systems, node components) from supplier strategy through delivery for massive AI data center buildout. Negotiate pricing/lead times/capacity with OEMs/ODMs, dual-source critical configs, and manage supplier performance tied to forward pipeline.

Build and own ML/LLM systems for internal operations including forecasting, risk flagging, and document extraction. Ship production agentic systems end-to-end with guardrails and partner with data engineering to integrate predictions into tools.

Own end-to-end sourcing and supplier qualification for mechanical categories (steel, fabrications, cooling components) to support massive AI data center manufacturing scale-up. Requires deep manufacturer-side sourcing experience, ability to read drawings/specs, secure capacity, and negotiate long-term agreements.

Build and integrate software for the SCADA stack at data centers powering frontier AI compute, including services, EPMS integrations, historians, alarms, and repeatable deployment tooling. Requires experience with industrial control systems, OPC UA, and production-grade software for mission-critical environments.

Lead robotics deployment projects into live data center and factory sites, coordinating vendors, integrators, and teams from pilot through scale-up while owning the deployment playbook, safety, commissioning, and post-go-live performance tracking.

Engineer automated commissioning for data center control systems by embedding test sequences into BMS/PLC logic, building test libraries, executing on live sites, analyzing failures, and driving upstream design fixes. Requires hands-on commissioning experience writing test procedures for building/data center controls.

Develop and qualify suppliers for AI data center manufacturing through hands-on process audits, PPAP approvals, root cause quality fixes, and capacity building at supplier sites. Requires proven manufacturing supplier development experience with rigorous on-site problem solving.

Build software services, APIs, and generative tooling for programmable infrastructure modeling in CAD/BIM platforms. Requires experience with engineering design data, automation replacing manual work, geometric/graph data, and production code integrating vendor APIs.

Model and reconcile IT/hardware capacity needs across data center sites, building automated views for planning and procurement while chasing discrepancies in orders, inventory, and lead times.

Build and deploy demand management control strategies that flex gigawatts of data center load in response to grid signals and prices while coordinating IT, cooling, and generation assets without violating SLAs. Requires prior experience engineering controls for energy systems such as demand response or microgrids, power systems knowledge, utility/market integration, and simulation-first validation.

Project manager responsible for deploying controls and sensor systems (BMS/EPMS) across data center sites, coordinating installation, vendors, construction, and commissioning to close projects on time with zero punch list items. Requires prior experience managing controls/instrumentation installations on industrial or data center projects.

Own GTM strategy, positioning, competitive intelligence, and sales enablement for ezCater's Enterprise Admin Controls and financial workflows. Requires 5+ years B2B product marketing experience, strong storytelling and analytical skills, and cross-functional partnership with Product, Sales, and CS teams.

Own end-to-end full-funnel lifecycle marketing programs in Braze for a B2B fintech company. Build nurture, onboarding, activation, cross-sell, retention, and winback journeys across email, in-app, push, and SMS to drive customer expansion from fuel card to full financial platform usage.

Own the electrical equipment category (switchgear, transformers, UPS, generators, busway) for massive AI compute buildout. Negotiate multi-year capacity reservations with OEMs, dual-source non-interchangeable equipment, track factory production, and expedite as needed for data center construction.

Provide legal support for large-scale infrastructure transactions and development projects, including negotiating power contracts, construction agreements, real estate deals, and financing structures for hyperscale data centers and GPU clusters. Requires 5+ years legal experience focused on infrastructure, JD, and in-office commitment.

Build and own high-impact startup events, hackathons, and community programs for Cursor to acquire, activate, and turn early-stage founders into advocates. Requires 4-7+ years in events/community/growth marketing, deep understanding of founders, and a builder mindset for data-driven program creation.