Crusoe

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe is the world's first vertically integrated, sustainable AI cloud. We build and operate GPU infrastructure powered by clean energy, from data center design through IaaS products to managed inference at scale, enabling AI-native companies to run demanding workloads without compromising on sustainability or reliability. Crusoe Cloud is 1,400 people and growing, and the TPM frameworks are still being built -- which means there is a genuine opportunity to shape how the function operates rather than inherit how it already works. The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of Crusoe's fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations to deliver a reliable, scalable inference platform. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role. What You'll Be Working On: - End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform. - Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery. - Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked. - Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems. - Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to Crusoe's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates. - Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads. - Stakeholder leadership: Drive alignment and push back effectively across engineering, product, and operations leadership -- including highly technical stakeholders who have not previously worked with a TPM. What You'll Bring to the Team: - 7+ years of experience as a Technical Program Manager in fast-paced technical environments, with a track record of owning complex programs end-to-end across engineering and product organizations. - LLM inference and model serving knowledge: Working familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale. - Multi-tenant systems experience: Familiarity with isolation, quota management, and SLA enforcement across concurrent workloads. - Fine-tuning and alignment awareness: Sufficient familiarity with fine-tuning and alignment workflows to govern program timelines, identify technical risks, and coordinate across the teams that own them. - Low-structure execution: Proven ability to build execution models in environments where the process did not yet exist, and make them stick with teams that didn't ask for them. - Executive communication: Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders. - AI tool integration: Active, daily use of AI tools to improve program execution, risk detection, and communication -- not just personal productivity. - Cross-functional influence: Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority, including with highly technical stakeholders. Bonus Points: - Experience working with teams building platforms or services for AI inference and/or training. - Direct experience governing model onboarding programs across GPU generations, including firmware, driver, and stack validation. - Experience coaching or mentoring junior TPMs in a high-growth technical environment. - Exposure to multi-site or globally distributed engineering teams. - Background at a Series D to Series F company or a high-performing team within a hyperscaler focused on AI infrastructure. Benefits: Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being. Our benefits are tailored to local market standards and include core offerings such as pension contributions and additional perks to support work-life balance. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking Sr. Staff Software Engineers to serve as the Managed Platform Services (MAPS) organization’s most senior floating technical leaders. This is not a domain-ownership role — you'll operate as part of a small, elite team of senior staff engineers deployed wherever the organization needs depth most: infrastructure scale-out, performance and reliability deep dives, new product exploration, customer-facing platform development, and cross-functional initiatives that span well beyond MAPS. You'll compress ambiguity into clarity, prototypes into products, and one team's solutions into org-wide leverage. What You’ll Be Working On: Engagements rotate based on business priority. Representative examples: - Data Center Scale-Out Automation: Design and drive automation for new on-prem server and site bring-up as Crusoe undergoes rapid, large-scale data center expansion — turning bring-up from a manual effort into a repeatable, optimized pipeline. - Performance & Reliability Deep Dives: Deep dive every component within and beneath our managed services to find systemic opportunities for performance and reliability gains — sharding gaps, concurrency issues, thundering herds — and own them through resolution. Establish platform-wide benchmarks and ensure every domain is architected for 10x scale with HA, graceful degradation, and fault isolation built in from the start. - Rapid Prototyping & Product Viability: Build POCs to evaluate viability of new platform capabilities — AI platforms, managed vector databases, managed relational databases — exploring the full solution space, not just the recommended path, so leadership can make build/extend/buy decisions faster. - Customer & Product-Focused Development: Deep dive AI-native customer profiles (training and inference) to identify what features and intelligent insights — both rule-based and LLM-based — our platform can offer. Partner with customer success and solution engineering to identify missing customer-facing functionality and tooling that simultaneously improves the admin and support experience. - Platform Architecture & Migrations: Investigate and scope high-leverage architectural shifts — e.g., migrating managed services between orchestration platforms (managed vs. internal Kubernetes, public cloud vs. on-prem), quantifying effort, trade-offs, and benefits before the org commits to one-way doors. - Cross-Functional Initiatives: Drive initiatives spanning multiple orgs — e.g., full service isolation for managed services, or partnering with managed Kubernetes, storage, and networking teams to define a permanent air-gapped solution for customers and what it looks like as a managed service offering. - Force Multiplication via AI & Tooling: Use AI to augment your own development and prototyping, and build tools and frameworks that multiply output across the entire org — including internal and customer-facing MCP servers — never limiting impact to a single team. - Mentorship & Culture: Coach senior engineers and introduce systems that uplevel the team without requiring your direct involvement. Create an environment where it's safe to fail and set the team's reputation for being collaborative, responsive, and excellent. What You’ll Bring to the Team: - Distributed Systems Depth: Hands-on expertise designing and operating distributed systems at scale — sharding, replication, consensus, load balancing, concurrency. You've resolved the hard problems, not just read about them. - Range: Comfort operating anywhere in the stack — from on-prem infrastructure bring-up to customer-facing product features — and switching contexts as priorities shift. - Prototyping Speed: Proven ability to rapidly build high-fidelity prototypes across a range of technologies, exploring multiple approaches in parallel and knowing when good enough is the right call. - AI-Augmented Development: You use AI tools to accelerate development, research, and decision-making — and you push their limits, building AI-powered tooling for others rather than just consuming it. - Performance & Operational Excellence: You benchmark, profile, and fix. Customer-facing on-call experience required — you eliminate the conditions that cause incidents rather than just responding to them. - Product Instincts: Ability to engage in ambiguous product spaces, ask the right questions, and translate fuzzy requirements into scoped, buildable increments tied to business outcomes. - Cross-Functional Influence: Proven ability to drive technical outcomes across org boundaries without formal authority — earning trust through technical credibility, clear thinking, and consistent delivery. - Communication: Exemplary. Right level of context, concise, checks for understanding, keeps stakeholders informed without being asked. - Professional Experience: 10+ years of software development experience with significant time at staff level or above. Proficiency in Go or a modern compiled language (Go strongly preferred) and cloud-native infrastructure. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $250,000 -$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: - Weekend Shift Schedule: Wednesday – Sunday, or Saturday – Wednesday (5-day work week, includes weekend coverage). On-site required for weekday shifts. Compensation reflects a 10% increase for this schedule. - Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). - On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. - Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. - Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. - Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. - Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. - Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. - Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: - Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. - Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. - Version Control: Proficiency with Git for code management and collaboration. - Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. - Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). - Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). - Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. - HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: - Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. - Cloud Expertise: Deep understanding of specific cloud platforms and services. - Automation Skills: Experience with automation tools and scripting languages. - Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. - Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. - Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $135,000 - $165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe's high-performance GPU infrastructure. Based in our New York City office, you'll work alongside Account Executives and senior Solutions Engineers to run technical discovery, deliver demos and proofs of concept, and ensure customers land successfully on the platform. This is a hands-on role where you'll build environments, troubleshoot workloads, and grow toward owning the technical win end-to-end. This role is based full-time (Monday through Friday) in our New York City office. What You'll Be Working On: - Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud, with clearly defined success criteria and timely execution - Support technical discovery alongside Account Executives, including mapping stakeholders, gathering requirements, and handling technical objections - Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost - Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure, explaining tradeoffs along the way - Document product gaps and bugs from the field with the detail Engineering needs to reproduce them, and channel structured customer feedback to Product - Ensure clean post-sale handoffs by building transition docs and instance summaries so customer success teams start from a stable Day 1 What You'll Bring to the Team: - 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloads - Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming it - Experience deploying containerized workloads with Kubernetes or Docker - Strong Linux command-line skills and scripting ability in Python or Bash - Networking fundamentals: VPCs, subnets, load balancers, DNS, routing - Clear technical communication, comfortable presenting demos and writing documentation customers actually use - Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through Bonus Points - Experience with distributed training or inference frameworks (PyTorch, Ray, Kubeflow) - Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation) - GPU cluster, InfiniBand/RoCE, or Slurm exposure - Monitoring and observability tooling (Prometheus, Grafana, Datadog, CloudWatch) - Public technical content such as talks, blog posts, or how-to guides Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $155,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe.ai http://Crusoe.ai is seeking a Senior Sales Director to drive revenue growth across high-impact AI segments, including foundation model companies, enterprise AI teams, robotics, and other GPU-intensive workloads. This role owns the strategy and execution required to land and expand Crusoe Cloud with the world’s most sophisticated AI customers. You will lead complex, high-value sales cycles and help define how Crusoe competes and wins in the AI infrastructure market. Crusoe is a vertically integrated AI infrastructure company, combining low-cost energy, large-scale data centers, and high-performance GPU cloud. As Senior Sales Director, you will translate this advantage into repeatable, enterprise-grade revenue while shaping Crusoe’s go-to-market motion as we scale. What You'll Be Working On: - Own Strategic Revenue: Lead multi-million-dollar sales opportunities across AI-native startups and enterprise AI organizations. - Run Complex Sales Cycles: Navigate technical, financial, and executive stakeholders to close long-term infrastructure deals. - Build Executive Relationships: Partner with CTOs, AI leaders, and founders to support their training and inference roadmaps. - Shape GTM Strategy: Provide market feedback on pricing, packaging, and product direction to inform Crusoe’s growth strategy. - Partner Cross-Functionally: Work closely with Solutions Engineering, Product, and Cloud teams to deliver scalable AI infrastructure solutions. - Drive Forecast Accuracy: Build and manage a disciplined pipeline with strong deal execution and forecasting rigor. What You'll Bring to the Team: - Proven Global Sales Leadership: Successfully built and led high-performing, geographically distributed teams of Account Executives, with a consistent history of over-attaining quota. - Enterprise & Strategic Selling: Deep experience closing large, complex deals involving multiple stakeholders, long sales cycles, and significant contract values. - Experience Selling Technical Products: Background selling technical, platform, or developer-adjacent products to sophisticated buyers, with the ability to engage both business and technical audiences. - Operational Excellence: Track record of running a disciplined sales organization with strong pipeline management, forecasting accuracy, and deal execution. - Builder Mindset: Experience scaling sales teams and go-to-market motions in high-growth environments, balancing structure with speed. - Executive Presence: Ability to influence and build trust with C-suite, VPs, and founders as a strategic commercial partner. - Cross-Functional Leadership: Proven ability to work closely with Product, Marketing, and Engineering to drive customer-led growth and continuous improvement. - Location: San Francisco - Work hybrid, in-office 3+ days a week with your team from our beautiful office at 225 Bush Street with paid lunches and a fun, energetic, in office environment. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $420,000 - $500,000 OTE. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ABOUT THE ROLE As a Senior Product Manager for Orchestration, you will own major product areas within Crusoe’s Managed Orchestration portfolio. Your scope will include Kubernetes cluster lifecycle, control-plane capabilities, node pools and node health, managed add-ons, workload scheduling, Slurm on Kubernetes, or the APIs and interfaces customers use to operate large-scale AI infrastructure. You will have meaningful end-to-end ownership of the areas within your scope, from problem definition and product design through launch, validation, adoption, and continued improvement. This is a deeply technical and hands-on product role. You will work closely with engineering to turn complex and ambiguous infrastructure problems into clear, durable product designs. You will define detailed behavior, examine edge cases and failure modes, make thoughtful product trade-offs, and ensure that what we ship works well for customers in practice, not only in a design document. Success in this role means raising the quality of both the product and the decisions behind it. You will combine technical depth, customer understanding, strong product judgment, and disciplined execution to build orchestration capabilities that customers can depend on for their most demanding AI workloads. What You'll Be Working On: - Own Major Orchestration Product Areas: Take end-to-end ownership of substantial product surfaces, including their roadmap, outcomes, priorities, quality, and continued improvement. - Develop Durable Technical Product Designs: Turn complex infrastructure problems into clear requirements and coherent system behavior, including APIs, lifecycle states, failure handling, upgrades, and customer controls. - Partner Closely With Engineering: Work directly with engineers throughout discovery, design, implementation, and validation to resolve ambiguity and shape high-quality solutions. - Establish a High Product-Quality Bar: Pressure-test designs, evaluate working software, examine edge cases and failure modes, and ensure the product is ready before broad customer release. - Understand Customers and Operators: Work with customers and internal teams to identify underlying problems and translate them into broadly useful, technically sound product improvements. - Make Disciplined Product Investments: Prioritize work based on customer value, reliability, differentiation, engineering cost, and operational burden, then measure whether those investments delivered the intended results. - Coordinate Across the Cloud Platform: Establish clear interfaces and responsibilities across infrastructure, networking, storage, identity, observability, capacity, and workload teams. - Communicate Clearly: Produce precise requirements and decision documents, and explain technical trade-offs and business implications to diverse stakeholders. What You'll Bring to the Team: - AI and Machine Learning Infrastructure: You understand how training, fine-tuning, inference, checkpointing, and GPU-intensive workloads interact with orchestration systems. - Strong Technical Fluency: Significant experience with Kubernetes, cloud infrastructure, distributed systems, workload orchestration, or related technologies. - Technical Product Management Experience: Five or more years of experience owning complex technical products or infrastructure initiatives from definition through delivery and iteration. - Systems Thinking and Attention to Detail: The ability to reason through APIs, lifecycle states, failure modes, upgrades, operational workflows, and dependencies across distributed systems. - Strong Product Judgment: The ability to balance customer value, reliability, engineering cost, operational complexity, and long-term maintainability when making product decisions. - Ownership and Execution: A track record of independently driving ambiguous, cross-functional initiatives to clear decisions and high-quality outcomes. - Clear Communication and Collaboration: The ability to work closely with engineers, document decisions precisely, and create alignment across technical and nontechnical teams. Bonus Points: - High-Performance Computing: You have experience with HPC environments, Slurm or similar workload managers, specialized networking, or large accelerator clusters. - Infrastructure Operations: You have operated or supported production infrastructure and understand the impact of product decisions on reliability, upgrades, debugging, and incident response. - Builder Orientation: You enjoy using infrastructure products directly, examining APIs, and experimenting with systems to develop grounded product opinions. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of $170,000 to $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: - Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). - On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. - Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. - Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. - Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. - Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. - Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: - Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. - Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. - Version Control: Proficiency with Git for code management and collaboration. - Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. - Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). - Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). - Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. - HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: - Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. - Cloud Expertise: Deep understanding of specific cloud platforms and services. - Automation Skills: Experience with automation tools and scripting languages. - Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. - Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. - Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off Compensation: Compensation will be paid between $145,000 – $175,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet. Our networking stack is what connects thousands of GPUs into the high-performance clusters that some of the biggest names in AI rely on to train and run their models. As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe's networking foundation: the fleet-wide design, the fabric, and the technology choices that determine whether our network can scale for years, not just for the next customer request. This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and your decisions on architecture, vendor strategy, and technology direction will shape what every Crusoe customer builds on for years to come. You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into the infrastructure Crusoe needs, and drive the long-term vendor and technology strategy that keeps our network world-class for AI at scale. What You'll Be Working On: - Long-term vision: Define the 2-4 year vision and roadmap for Crusoe's networking foundation, from fleet-wide architecture to fabric design. - Vendor management strategy: Own Crusoe's long-term vendor management strategy for the network, including defining our cost structure and capital allocation. - Platform targets: Set the performance, reliability, scalability, and cost targets the network must hit, including network cost per GPU and per server. - Connectivity architecture: Own cross-DC and multi-site connectivity strategy, network topology, and failure-domain design. - Technology strategy: Drive NIC, DPU, switch, and networking technology strategy, including evaluating new hardware generations and vendors. - Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them. - Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments. - Executive communication: Represent networking foundations in leadership reviews, translating architecture and vendor tradeoffs into clear decision docs. What You'll Bring to the Team: - Bachelor's degree in electrical engineering, computer science, or a related field. - 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope. - Subject matter expertise in networking, with the credibility to operate as a peer to senior infrastructure engineers and architects. - Direct experience with fleet-wide network architecture, topology design, and failure-domain strategy at scale. - Experience managing long-term vendor strategy and vetting in-house software engineering investment for core networking infrastructure. - A strong grasp of infrastructure economics at scale, including cost per unit and capacity planning. - Analytical mindset with the ability to use data to inform multi-year infrastructure decisions. - Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives. - Direct experience with RDMA fabrics such as InfiniBand or RoCE, and with GPU cluster networking for AI training or inference. Bonus Points - Experience with data center network design, including cross-DC and multi-site connectivity. - Familiarity with the current landscape of networking silicon, NICs, and switch vendors serving AI infrastructure. - Experience managing or mentoring other product managers. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $285,000 - $335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: The Group Product Manager, Edge Computing is responsible for defining and delivering Crusoe's edge computing product strategy, built on Crusoe Spark™ modular AI data centers. You'll own the product vision, roadmap, and execution for edge offerings end to end, from hardware configurations to the software stack, bringing real-time, low-latency AI to industries like public sector, manufacturing, autonomous vehicles, and smart cities. You will define how customers deploy and consume AI infrastructure at the edge, translating emerging low-latency AI workload requirements into scalable, reliable, and economically efficient products. The role operates at the intersection of hardware, software, energy, and product strategy, ensuring that edge investments across modular data center design, compute platforms, and the cloud control plane translate into customer value and business outcomes. The Group Product Manager, Edge Computing collaborates closely with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to deliver edge solutions for customers running demanding AI workloads outside the traditional data center. What You'll Be Working On: - Define and execute the product vision and strategy for Crusoe's Edge Computing offerings, based on Crusoe Spark™ modular AI data centers - Own the full product lifecycle, from ideation to end-of-life, across both hardware and software solutions at the edge - Conduct market research, competitive analysis, and customer interviews to identify new opportunities and validate product concepts - Translate product strategy into a detailed roadmap, user stories, and feature requirements spanning hardware configurations, software stack, and connectivity - Partner with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to ensure successful product development and launch - Define pricing and packaging models that balance deployment economics, customer flexibility, and long-term infrastructure returns - Track and analyze key product metrics to inform decisions and measure product success - Develop executive-level narratives and decision materials that inform investment, capacity planning, and product direction - Serve as the internal and external evangelist for Crusoe's Edge Computing products, presenting to customers, partners, and internal stakeholders What You'll Bring to the Team: - Product management experience delivering hardware, software, or platform products in the edge computing or cloud infrastructure space - A proven track record of launching and scaling B2B technical products from concept to market - Strong technical understanding of edge computing architectures, including hardware (servers, storage, networking), software (containerization, virtualization, control plane as part of a cloud infrastructure), and connectivity - Experience working across hardware and software boundaries, translating infrastructure capabilities into customer-facing products - Ability to balance technical tradeoffs, customer requirements, and infrastructure economics when making product decisions - Experience collaborating across engineering, manufacturing, operations, and GTM teams to deliver complex infrastructure products - Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences and connect them to customer and business outcomes - The ability to thrive in a fast-paced, high-growth startup environment Bonus Points - Experience with AI/ML infrastructure, including training, inference, and MLOps - Prior experience in the energy sector or with sustainable technology - Hands-on experience with hardware design and manufacturing processes - Experience with a cloud provider (AWS, Azure, GCP) and their edge/distributed cloud products, or a deep understanding of cloud-native principles Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $250,000-$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Sales can't sell what they can't explain. As we ship faster across datacenter, infrastructure, training, and inference, our field needs someone who can take a dense technical roadmap and turn it into a story a seller can tell. Our product-line PMMs own the messaging for their individual products. This role sits above and across them. You take the positioning each product PMM produces and synthesize it into a coherent portfolio story, then translate that story into the plays, training, and competitive frameworks the field actually runs on. You are the connective tissue between the product-marketing bench and Revenue Enablement. You own the sales narrative, the competitive intelligence, and the go-to-market motion across the whole portfolio. You own the first-call deck and the story arc that follows it through the customer journey, and you arm the field with the objections they'll hit and the plays to overcome them. What You'll Be Working On: SALES PLAYS - Serve as the primary SME for building sales plays for new products and features, synthesizing across product lines into a single motion the field can run - Translate product-line MRDs into sales-facing playbook components and launch guidance: what we're building, why, for whom, and what it displaces, framed for the questions sales will actually ask - Partner with Product and product-line PMMs on launch calendars, ensuring Revenue Enablement gets months of lead time, not days - Translate early-access and preview learnings into targeting guidance and field-ready talk tracks MESSAGING & NARRATIVE - Synthesize product-line messaging into a portfolio-level sales narrative using Command of the Message (Force Management), keeping the cross-product story coherent and differentiated - Own the sales narrative for the First Call Deck: conversational up front - Build modular slide libraries so reps can tailor by persona, segment, and use case without going off-message TRAINING & FIELD READINESS - Build curriculum components for new-hire onboarding and ongoing field education - Build and deliver training with Product for Field Forum; help plan the calendar around launches - Run train-the-trainer sessions with the Revenue Enablement team so enablement can scale delivery - Review enablement-created content for technical accuracy before it reaches the field COMPETITIVE & MARKET INTELLIGENCE - Maintain competitive battlecards using one consistent framework, so reps learn the structure once and can recall it under pressure - Keep the competitive matrix current across hyperscalers, neoclouds, and managed inference providers - Publish digestible analyst and industry updates with FAQs and "what to say" guidance, drawing on sources like SemiAnalysis and Gartner - Keep ICP definitions current and help sellers identify and qualify new ICP targets CUSTOMER-FACING CONTENT - Product one-pagers and datasheets for every product, ready to send - Customer stories, each with a single business-impact slide reps can drop into any deck - Infographics, top-ten lists, and short attention-grabbing assets for outreach and LinkedIn - Build ROI/TCO calculators and other decision-support tools for sales OPERATIONS - Restructure and maintain content repositories so blogs, ungated content, and decks are discoverable, and so AI assistants and Field Guide can reliably pull the latest version - Enforce version hygiene: one source of truth per asset, visible last-updated dates What You'll Bring to the Team: REQUIRED - 10+ years in product marketing, ideally in cloud infrastructure, AI, or machine learning - Technical depth in AI/ML infrastructure: you understand the real differences between training and inference workloads, what makes an inference stack fast or cheap, and how customers actually evaluate compute - Working knowledge of the competitive landscape: hyperscalers, neoclouds, managed inference providers, and the buy-vs-build calculus - Fluency with sales messaging frameworks; Command of the Message strongly preferred - Proven storytelling: you can take a technical concept and make a non-technical seller feel confident repeating it - Real understanding of how enterprise sales works: pipeline stages, MEDDIC-style qualification, what a rep is actually doing in a first call, and why most enablement content goes unused - Ability to work across a bench of product-line PMMs: synthesizing their work, not duplicating it, and holding the portfolio view none of them own individually - Experience building content that sellers voluntarily reuse STRONG PLUS - Prior experience at an infrastructure, semiconductor, or AI platform company - Background as a sales engineer, solutions architect, or technical seller - Comfort with data tooling to build TCO models that survive customer scrutiny Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $240,000 - $270,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role Crusoe is looking for a Director of Customer Enablement to build the enablement function from the ground up, reporting to the VP of Customer Experience. You will own how customers are onboarded, educated, and enabled across their lifecycle, while ensuring the entire CX organization — Customer Success, Support, Customer Engineering, and Operations — has the training and knowledge to support a rapidly evolving AI infrastructure platform. You'll start hands-on, building foundational content and repeatable onboarding programs, then grow and lead a Customer Enablement organization spanning education, documentation, certifications, and knowledge management. This role is based in SF, Bellevue, or Sunnyvale. What You'll Be Working On - Own the customer onboarding strategy from contract signature through production readiness, with standardized journeys across Cloud, Managed Inference, and future products that reduce time-to-value - Build scalable customer education programs — instructor-led training, virtual workshops, technical webinars, self-paced learning, video libraries, and role-based learning paths from platform administrators to ML engineers - Lead internal CX enablement, translating every product launch, platform capability, and operational process into repeatable training for Customer Success, Support, Incident Management, Professional Services, and Customer Reliability teams - Own the CX knowledge management strategy, establishing documentation standards, content governance, version control, and a centralized knowledge hub for customers and internal teams - Define and track enablement metrics — onboarding completion, time-to-first-production workload, product adoption, certification rates, support ticket reduction, and self-service adoption — with dashboards to continuously improve programs - Build and lead the Customer Enablement organization as Crusoe scales, recruiting specialists across onboarding, technical training, documentation, instructional design, and knowledge management What You'll Bring to the Team - Bachelor’s degree - 8+ years leading Customer Enablement, Customer Success Enablement, Technical Enablement, Learning & Development, or Customer Education organizations - 3+ years leading managers or building enablement teams - Experience designing scalable onboarding programs for enterprise customers - Experience building internal enablement programs for technical customer-facing organizations - Strong understanding of cloud infrastructure, Kubernetes, AI infrastructure, GPU computing, or enterprise SaaS - Experience creating customer education programs, certifications, documentation, and technical learning experiences - Excellent program management skills paired with strong executive communication and cross-functional leadership Bonus Points - Experience at a cloud infrastructure, AI, MLOps, or enterprise platform company - Experience implementing an LMS or learning platform - Experience developing customer certification programs - Familiarity with technical documentation platforms such as Confluence, Notion, GitBook, or ReadMe - Experience scaling enablement for global Customer Success and Support organizations Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 - $250,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe is the world's first vertically integrated, sustainable AI cloud. We build and operate GPU infrastructure powered by clean energy, from data center design through IaaS products to managed inference at scale, enabling AI-native companies to run demanding workloads without compromising on sustainability or reliability. Crusoe Cloud is 1,400 people and growing, and the TPM frameworks are still being built -- which means there is a genuine opportunity to shape how the function operates rather than inherit how it already works. The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of Crusoe's fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations to deliver a reliable, scalable inference platform. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role. What You'll Be Working On: - End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform. - Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery. - Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked. - Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems. - Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to Crusoe's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates. - Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads. - Stakeholder leadership: Drive alignment and push back effectively across engineering, product, and operations leadership -- including highly technical stakeholders who have not previously worked with a TPM. What You'll Bring to the Team: - 7+ years of experience as a Technical Program Manager in fast-paced technical environments, with a track record of owning complex programs end-to-end across engineering and product organizations. - LLM inference and model serving knowledge: Working familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale. - Multi-tenant systems experience: Familiarity with isolation, quota management, and SLA enforcement across concurrent workloads. - Fine-tuning and alignment awareness: Sufficient familiarity with fine-tuning and alignment workflows to govern program timelines, identify technical risks, and coordinate across the teams that own them. - Low-structure execution: Proven ability to build execution models in environments where the process did not yet exist, and make them stick with teams that didn't ask for them. - Executive communication: Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders. - AI tool integration: Active, daily use of AI tools to improve program execution, risk detection, and communication -- not just personal productivity. - Cross-functional influence: Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority, including with highly technical stakeholders. Bonus Points: - 1+ years of experience working with teams building platforms or services for AI inference and/or training. - Direct experience governing model onboarding programs across GPU generations, including firmware, driver, and stack validation. - Experience coaching or mentoring junior TPMs in a high-growth technical environment. - Exposure to multi-site or globally distributed engineering teams. - Background at a Series D to Series F company or a high-performing team within a hyperscaler focused on AI infrastructure. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $200,000 - $240,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role The Cloud Storage team at Crusoe is seeking a Staff Software Engineer to serve as a primary architect and visionary for our storage strategy. While a Staff Engineer leads features, a Senior Staff Engineer defines the multi-year technical roadmap that underpins our AI-scale infrastructure. You will be a multiplier, responsible for the architectural strategy, integrity and global scalability of our bespoke storage services. You will work at the physics of the stack, bridging the gap between high-performance NVMe hardware and globally distributed, S3-competitive object stores. What You’ll Be Working On - Architectural Vision & Strategy: Define and drive the long-term technical strategy for Crusoe’s storage engine. Identify industry trends (e.g., CXL, NVMe-oF) and integrate them into a cohesive roadmap. - System Programming Expertise: Leverage proven experience in system programming with languages such as C, C++, Go, and/or Rust to build the foundations of our V2 storage re-architecture. - Storage Protocols: Architect and implement solutions utilizing industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe/TCP. - Open Source Stewardship: Drive and maintain a track record of contributions to the open-source community (e.g., Ceph, GlusterFS, Lustre, Spectrum Scale, OpenEBS). - Technical Authority: Serve as the final arbiter for critical architecture decisions across the Foundations organization. Lead complex design reviews that intersect storage, networking, and virtualization. - Deep Performance Engineering: Lead "tiger teams" to solve the most ambiguous and difficult bottlenecks in the stack—from kernel-level IO context switching to global tail-latency in distributed clusters. - Strategic Collaboration: Work closely with Executive Leadership and Product to align technical capabilities with business milestones, such as our imminent path to IPO. What You’ll Bring to the Team - Cloud Storage Expertise: 12+ years of experience building and operating large-scale, complex distributed cloud computing infrastructure products. - Troubleshooting & Tuning: Strong troubleshooting and performance tuning skills; ability to profile and optimize the entire IO path. - High-Drive Mindset: Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision. - Masters of Consistency & Durability: Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale. - Software Engineering Fundamentals: Mastery of professional software engineering practices for the full SDLC, including coding standards, build processes, and testing. - Communication & Collaboration: Ability to champion and lead initiatives across the engineering organization, such as tech talks and technical reading groups. Bonus Points - Public Cloud & AI/ML: Expertise in one or more Public Cloud offerings (AWS, GCP, Azure, OCI) and familiarity with AI/ML frameworks (PyTorch, Tensorflow, JAX) and MLOps. - High-Throughput I/O: Experience with cutting-edge I/O architectures like DAOS or SPDK. - Networking Foundations: Background in RDMA and high-performance networking, including SmartNICs and RoCEv2. - Distributed Systems Mastery: Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka. - Theoretical Depth: Strong knowledge of distributed systems fundamentals including CAP Theorem, Paxos/RAFT, consistent hashing, and sharding strategies. - Education: Advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field. Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off Compensation Range Compensation will be paid in the range of up to $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are looking for a Staff Engineer to be the detection authority for Crusoe’s Command Center platform—the person who owns what “something is wrong” means. You will define the heuristics, thresholds, and rules that power our alerting and anomaly detection systems, translating raw infrastructure telemetry into precise, actionable signals. This is a full software engineering role. You will ship customer-facing features, build systems from 0 to 1, and scale existing services alongside a team of strong generalist engineers. What sets you apart is deep expertise in anomaly detection, heuristics, and machine/reinforcement learning—applied to real infrastructure at global scale. Beyond your technical contributions, you will be a cultural bar-raiser and force multiplier: someone who elevates the entire team’s craft. You will report to the Engineering Manager of the CCIA team and operate as a peer to the Distributed Systems Staff Engineer on the team. What You'll Be Working On: - Detection & Intelligence Ownership: Own the full detection stack — heuristics, threshold calibration, precision/recall tuning, and the rule systems that define what "something is wrong" means for the platform. - Anomaly Detection Pipelines: Design and maintain detection systems including straggler node detection, GPU health signals, and fleet-level behavioral baselines. - Signal Calibration: Drive detection fidelity by reducing false positives, increasing signal coverage, and building feedback loops that keep thresholds accurate as the fleet grows. - ML/RL Integration: Evaluate and integrate machine learning and reinforcement learning techniques where they outperform rule-based approaches — and know when not to reach for a model. - Product Engineering: Ship customer-facing features end-to-end across the CCIA stack — alert rule engine, control plane APIs, automated action systems, and insights delivery surfaces. - 0-to-1 & Scale: Build new systems from scratch and scale existing ones to support Crusoe's rapidly growing global fleet. - Cross-Functional Collaboration: Work closely with product counterparts to shape requirements early and partner with the data science team to develop and validate detection models. - System Design: Participate in design discussions across teams, contribute architectural perspective, and help evaluate technical trade-offs. - Technical Mentorship: Mentor engineers at all levels through code review, design feedback, and direct coaching, and contribute to hiring by helping define what great looks like. What You'll Bring to the Team: - Anomaly Detection & Heuristics Expertise: Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains. - Threshold & Signal Calibration: Demonstrated ability to reason about precision/recall trade-offs and build feedback loops that keep detection systems accurate over time. - Distributed Systems Fundamentals: Strong foundations in the building blocks of reliable, scalable backend systems—you can hold your own in any system design conversation. - Full Software Engineering Craft: 5+ years shipping production software; experience with modern compiled or systems languages (Go, Rust, C++, Java, or similar). - Data & Observability Fluency: Comfortable with time-series data, telemetry pipelines, and observability primitives—you understand how raw metrics become actionable insights. - Communication: You can explain detection logic, trade-offs, and system behavior clearly to both engineers and non-technical partners. - Force Multiplier Mindset: You make the team better—through mentorship, clear technical vision, and a genuine investment in the people around you. Bonus Points - Experience with GPU profiling tools (Nsight, NCCL Inspector) or hardware-level infrastructure diagnostics. - Background in observability platforms or products. - Experience with reinforcement learning applied to operational or infrastructure problems. - Familiarity with large-scale fleet management or cloud infrastructure. - Passion for building team culture and engineering quality of life. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $210,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident in translating workloads across cloud platforms. What You'll Be Working On: - Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the POC through to post-sales optimization. - Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency. - Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level. - Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches. - Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success. - Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience. What You'll Bring to the Team: - Deep Kubernetes Expertise: 7+ years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration a must. - MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows. - Hands-on Cloud Infrastructure Knowledge:Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. Experience translating workloads across clouds is highly desirable. - Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments. - Strong Linux and CLI Proficiency:Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. - Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful. Bonus Points - Experience with Ray, Kubeflow, or other distributed ML orchestration platforms - Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC - Multi-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions) - Content contributions (tech talks, blogs, public case studies) Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $175,000 - $250,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet. Our storage stack is what keeps tens of thousands of GPUs fed with data, whether that means block volumes for fast bootups, a shared file system for a training cluster, or the object storage tier a physical AI customer depends on. As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe's storage foundation: how we build our storage stack at scale, from hardware and vendor selection to fleet-wide deployment architecture. This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and make the long-term architecture, vendor, and technology decisions that determine whether our storage platform can scale for years, not just for the next customer request. You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into infrastructure requirements, and manage the vendor relationships that keep our storage stack world-class for AI at scale. What You'll Be Working On - Long-term vision: Define the 2-4 year vision and roadmap for Crusoe's storage foundation, across block, file, object, local NVMe, and archival tiers. - Architecture and hierarchy: Own the long-term storage architecture and hierarchy - Vendor management and technology strategy: Own Crusoe's long-term vendor management strategy for the storage stack, and shapes our cost structure, capital allocation, and competitive position. - Platform targets: Set the performance and durability targets the platform must hit, including storage cost per usable TB and capacity efficiency. - Scale for AI: Own the future architecture required to support significantly larger AI clusters and fleet scale. - Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them. - Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments. - Industry scouting: Actively scout the industry for emerging storage technologies and vendors, and represent storage foundations in leadership reviews. What You'll Bring to the Team - Bachelor's degree in electrical engineering, computer science, or a related field. - 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope, specifically focused on cloud storage or related infrastructure. - Subject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architects. - Strong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale. - Experience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and software. - A strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiency. - Analytical mindset with the ability to use data to inform multi-year infrastructure decisions. - Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives. Bonus Points - Experience with AI/ML infrastructure, including training and inference workloads in the cloud. - Direct experience with high-performance storage networking, such as RDMA or GPUDirect Storage. - Experience with a major cloud provider (AWS, Azure, GCP) and their storage services, or a deep understanding of cloud-native storage principles at hyperscale. - Experience managing or mentoring other product managers Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $$285,000 - $335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers. What You’ll Work On: - Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads - Build automation and reliability tooling to support distributed AI pipelines and inference services - Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met - Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters - Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services - Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling - Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments What You’ll Bring: - Strong software engineering background — experience building production-grade systems beyond scripting or Bash - Demonstrated experience in distributed systems design and implementation - Hands-on work with large language models (LLMs) or AI/ML infrastructure - SRE mindset and experience (whether or not under the SRE title) including: - Defining and measuring SLIs/SLOs - Building monitoring and observability systems - Driving performance and reliability improvements - Designing fault-tolerant systems and automated testing strategies - Proficiency in at least one modern programming language (Python, Go, Java, C++) - Familiarity with Kubernetes or container orchestration platforms - Strong collaboration and communication skills - Ability to thrive in a fast-paced, mission-driven environment Bonus Points: - Experience scaling inference or training workloads for LLMs Benefits: - Industry competitive pay - Restricted Stock Units in a fast growing, well-funded technology company - Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents - Employer contributions to HSA accounts - Paid Parental Leave - Paid life insurance, short-term and long-term disability - Teladoc - 401(k) with a 100% match up to 4% of salary - Generous paid time off and holiday schedule - Cell phone reimbursement - Tuition reimbursement - Subscription to the Calm app - MetLife Legal - Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As our Senior Director, Developer Advocacy, you are the public face of Crusoe Cloud to the developers, ML engineers, and technical builders who shape where AI infrastructure goes next. You carry that same voice to the architects, technical decision makers, and executives who shape AI infrastructure decisions. This is a rare role for someone who is equally at home in front of a camera and inside a terminal. You have real technical credibility, you know how to earn the trust of practitioners, and you know how to turn that trust into awareness, interest, and adoption. You don't market at developers. You build with them, talk like one of them, and show up where they already are. You will define how Crusoe Cloud engages developers across social platforms and technical communities, helping us cut through the noise with a cohesive narrative. At events, you'll be on the show floor, engaging directly with developers, capturing their perspectives, and generating real excitement for Crusoe Cloud. And you will personally create the content that makes developers stop scrolling and pay attention, with a particular emphasis on short-form video. Your developer credibility is the engine, and its reach extends well beyond the developer community alone. This role sits at the intersection of advocacy, content, and community. You will partner closely with Developer Relations, Product, Engineering, and the broader Marketing team, but the voice and the point of view are yours. Your job is to make Crusoe Cloud the platform that technical audiences are curious about, talk about, and want to try, and that the decision makers behind those choices recognize and trust. What You'll Be Working On: - Be the Public Voice of Crusoe Cloud - Serve as a credible, recognizable face and voice for Crusoe Cloud across developer audiences, building genuine relationships with practitioners rather than broadcasting at them. - Develop and own a distinctive point of view on AI infrastructure, GPU compute, model training, and inference that earns the respect of technical audiences and differentiates Crusoe in a crowded market. - Represent the real developer experience back into the company, surfacing what builders love, what frustrates them, and where Crusoe can win. - Content and Short-Form Video - Conceive, script, and produce short-form video that raises awareness of Crusoe Cloud and sparks authentic interest in the platform, optimized for the platforms developers actually watch. - Build a consistent content engine across formats, from quick explainers and reactions to behind-the-scenes builds and hot takes, all geared toward awareness and interest rather than documentation or tutorials. - Get hands-on with Crusoe Cloud so every piece of content is grounded in first-person technical understanding, not secondhand talking points. - Engagement Strategy, Editorial Calendar, and Narrative - Define Crusoe Cloud's developer engagement strategy and the point of view that helps us stand out from the noise in a crowded AI infrastructure market. - Own a cohesive editorial calendar across social and community channels, ensuring a consistent cadence and a clear, connected narrative about Crusoe Cloud rather than a series of one-off posts. - Establish and lead Crusoe's presence in the places developers gather, from X and YouTube to Discord, GitHub, Reddit, and emerging channels, with clear goals for reach, engagement, and platform sign-ups. - Build a feedback loop between community conversation and the rest of the company, turning real developer signal into action for Product, Engineering, and Marketing. - Reach and Influence Beyond Developers - Extend Crusoe's voice beyond practitioners to the architects, economic buyers, and executives who shape AI infrastructure decisions. - Translate developer-level credibility into broader awareness and reputation, building recognition for what Crusoe Cloud is and the value it brings to the people deciding where to build. - Partner with Product Marketing and Communications so the developer narrative ladders up into messages that land with technical and business decision makers, without diluting the authenticity that makes it work. - Developer Engagement at Events - Be Crusoe's presence on the show floor at developer conferences and meetups, engaging directly with developers to understand what they're building and what they need. - Capture developer views, thoughts, and reactions in the moment, feeding real-world signal back into content, product, and go-to-market. - Generate genuine excitement for Crusoe Cloud through authentic, one-on-one conversations and an engaging presence on the floor. - Identify creative, unconventional ways to reach developers and technical decision makers beyond the standard booth-and-badge playbook. - Cross-Functional Partnership - Partner closely with Developer Relations to align advocacy, content, and community efforts into one coherent developer experience. - Work with Product and Engineering to stay ahead of the roadmap, ensuring your content and messaging reflect what's real and what's coming. - Collaborate with Product Marketing and the wider Marketing team so this work reinforces, and is reinforced by, the broader go-to-market motion. - Measurement and Impact - Define and track the metrics that matter for this role, including content performance, audience growth, community health, and influence on platform adoption. - Use data to learn fast, double down on what resonates, and demonstrate the business value of this work to leadership. What You'll Bring to the Team: - 10+ years of experience in developer relations, developer marketing, technical content creation, or a closely related field, with a track record of building and engaging technical audiences at scale. - Demonstrated ability to earn credibility with deeply technical audiences (AI and ML practitioners, cloud infrastructure engineers) and measurable impact on awareness, engagement, or adoption. - Hands-on, current technical fluency. You can credibly discuss GPU clusters, model training workflows, inference optimization, and cloud infrastructure with engineers and product managers. - Working knowledge of distributed inference and post-training techniques (e.g., fine-tuning, LoRA, quantization, RLHF, model distillation), with enough depth to speak credibly with practitioners and translate these concepts into content that resonates. - Ability to carry a single, credible narrative across audiences, from hands-on practitioners to the architects, economic buyers, and executives who shape infrastructure decisions. - Proven experience creating content that performs, with direct, hands-on experience producing short-form video for technical or developer audiences. - A strong personal point of view and the comfort and presence to be a public-facing voice on camera and across social platforms. - Strategic thinker who executes with precision, equally comfortable setting the engagement strategy and personally shipping the content. - Excellent written and verbal communication skills, with the ability to make complex technical concepts clear, compelling, and genuinely interesting. - Experience in fast-paced, high-growth environments, ideally at an AI-native company, hyperscale cloud provider, or infrastructure startup. Bonus Points - An established personal brand or following within a developer or technical community. - A bachelor's degree in computer science, engineering, or a related technical field is strongly preferred. - Direct, hands-on experience building on cloud infrastructure or AI platforms as a practitioner. - Experience leading or mentoring a small team of advocates, content creators, or community managers. - Familiarity with the AI infrastructure landscape and the practitioners who build on it. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $280,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are looking for a Principal Enterprise Technology Architect to own the technical vision for how our internal business systems connect, scale, and evolve. This is a newly created senior Individual Contributor role: you will be the highest-ranking technical voice in our Enterprise Technology organization, setting the architectural standard that guides our team of experienced system administrators. Crusoe is at an inflection point. We have mature, capable platforms running Finance (Oracle Fusion, Coupa, Sage Intacct), Construction and Operations (Procore, Oracle Primavera), and People (Rippling, Ashby), but they operate largely as islands. Your mandate is to design the unified architecture that connects them: defining master data models, engineering a scalable and increasingly event-driven integration layer, and building the governance frameworks (including how AI is responsibly introduced into these systems) that take us from startup agility to enterprise maturity. This is a greenfield architecture role first. You will spend the majority of your time designing systems, producing ERDs, context diagrams, and sequence flows, before a single line of configuration is written. This role does not carry formal people-management responsibility, though as a Principal (P6) you may guide contributors indirectly on complex initiatives. You will serve as the integration and architecture subject matter expert that a team of senior administrators pulls in on complex, cross-system initiatives, and as a voice in Architecture Review Board discussions on major platform changes. This role partners with, rather than replaces, existing domain owners: the IT Architect retains ownership of iPaaS design and governance, the Identity Lead retains ownership of IAM/PAM and access governance, and the AI & Automation Staff Engineer retains ownership of AI governance and architecture. This role's mandate is enterprise-wide data-model and integration-pattern design, done in partnership with those owners. What You'll Be Working On: - Greenfield Architecture & System Design - Lead technical discovery for all major system initiatives, producing high-fidelity artifacts — ERDs, system context diagrams, data flow maps, and sequence diagrams — that serve as the source of truth for implementation - Assess current platform limitations and define the path forward, including when to optimize, when to re-platform, and when to build a custom integration layer - Serve as the primary technical evaluator during software procurement, vetting vendors on API robustness, data model flexibility, and security compliance — not just features - Identify and document integration debt across the current-state architecture and develop a prioritized roadmap to address it - Participate in Architecture Review Board discussions, ensuring major system changes align with enterprise standards and reference architecture - Master Data & Integration Strategy - Partner with platform SMEs and administrators to define a unified approach to master data across the organization - Partner with the IT Architect and platform SMEs who own our iPaaS integration environment today, co-developing reusable integration patterns, error-handling frameworks, and self-healing workflows that raise the bar without displacing existing ownership - Drive integration architecture toward API-first, event-driven patterns (REST, webhooks/pub-sub) where they improve reliability and reduce latency over batch processing - Define how internal systems authenticate and communicate, with strict enforcement of secure API standards (OAuth 2.0, REST/SOAP) across all integrations - AI & Intelligent Automation - Partner with the AI & Automation Staff Engineer to identify high-value opportunities to embed AI into Crusoe's enterprise systems — workflow automation, intelligent document processing, enterprise copilots, and natural-language interfaces to platforms — contributing enterprise-systems and data-model expertise to their design - Contribute enterprise-architecture perspective to the AI & Automation team's evaluation of agentic AI, RAG, LLM integration patterns, and orchestration frameworks (including MCP); co-develop governance standards for their use within enterprise systems alongside the AI & Automation Staff Engineer, who owns AI governance - Partner with InfoSec and Data teams to ensure AI-enabled workflows meet data privacy, security, and audit requirements - Cross-Functional Collaboration & Technical Advisorship - Work alongside a team of experienced senior system administrators across Oracle, Procore, Coupa, Rippling, and other platforms — serving as the go-to architecture and integration resource on complex cross-system initiatives - Conduct design and configuration reviews, provide architectural guidance, and help administrators think through integration trade-offs on their projects - Establish shared standards for documentation, sandbox management, and change control that the broader team can build toward consistently - Governance & Standards - Establish the “Rules of the Road” for the Enterprise Technology team: naming conventions, sandbox management, documentation standards, and change control processes - Partner with InfoSec to ensure all architectural designs meet SOC2 and SOX requirements - Partner with the Identity Lead, who owns IAM/PAM and access design, to ensure RBAC models across enterprise systems are secure without creating operational friction — contributing enterprise-systems context rather than setting Identity policy independently - Define architectural review processes and quality standards for enterprise-systems initiatives, coordinating with the AI & Automation and Identity teams on criteria within their respective domains - Cross-Functional Translation - Serve as the primary bridge between business needs and technical execution, representing the Enterprise Technology team to stakeholders in Finance, Construction, and People - Communicate architectural trade-offs — real-time vs. batch, build vs. buy, monolith vs. modular — clearly to non-technical audiences - Build credibility and trust with business partners through consistent, clear communication and follow-through What You'll Bring to the Team: - Demonstrated experience designing systems from the ground up, with examples of greenfield architecture work including ERDs, context diagrams, and data flow documentation you personally produced. - 10-15+ years of experience in Enterprise Systems or Solutions Architecture, or equivalent depth of domain/architectural expertise, with at least 5+ years in a Solution Architect or Lead Systems Engineer role and a track record of sustained, recognized impact in the field. - Deep familiarity with at least one of our core platform domains: ERP/Finance (Oracle Fusion Cloud, Coupa, Sage Intacct) or Construction/Ops (Procore, Oracle Primavera). - Strong understanding of business process flows, particularly Procure-to-Pay (P2P), Order-to-Cash (O2C), and Hire-to-Retire (H2R), and how they map to system data models. - Advanced SQL proficiency and deep fluency with web services (REST/SOAP, JSON, XML, Postman). - Experience operating as a senior technical resource without formal authority, advising peers, running design reviews, and influencing stakeholders through expertise rather than title. - Demonstrated ability to coach and develop senior colleagues and to guide contributors indirectly, without formal management authority, on complex technical and architectural decisions. - Comfort making strategic calls under significant ambiguity, reading urgency correctly, and finding efficient resolution paths on programs with Crusoe-wide visibility. - Ability to work onsite in San Francisco or Denver per the schedule outlined above. Bonus Points - Hands-on experience with an enterprise iPaaS platform (Workato preferred; MuleSoft, Boomi, or equivalent considered), including building complex integrations, custom connectors, and managing integration lifecycle management. - Familiarity with our full platform stack: Oracle Fusion Cloud, Coupa, Sage Intacct, Procore, Oracle Primavera, Rippling, Ashby. - Experience building AI-enabled enterprise applications, including agentic AI, RAG, LLM orchestration, MCP, or vector databases, and evaluating them for business-system use cases. - Cloud-native architecture exposure (AWS, Azure, or GCP) and familiarity with event-driven integration patterns (e.g., pub/sub, webhooks). - Certifications: Workato Automation Pro II/III, TOGAF, or AWS Certified Solutions Architect. - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. - Experience in high-growth technology or infrastructure companies navigating the startup-to-enterprise transition. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $225,000- $255,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role You will spend your time making large language models run faster, cheaper, and more reliably in production. That means owning the inference stack end to end: profiling where time and cost go, bringing modern optimization techniques into real deployments, and getting deep into the serving code when the defaults are not good enough. This is core systems and performance work on some of the most demanding models in use today. The work is applied, not academic. The optimizations you build land in real customer deployments, each with its own models, traffic patterns, latency targets, and cost constraints. So while performance is the heart of the role, you will also work directly with customer engineering teams to tailor deployments to their needs, take a workload from an early proof of concept to a fully monitored production service, and make sure the gains you engineer actually show up for the people running the workload. To set expectations clearly, this is a hands-on engineering role built around coding, profiling, and low-level optimization. It also carries a customer-facing side, along with elements of product and technical solutions work, because that is where the performance work gets proven. What You'll Be Working On: - Bring current inference techniques into production and refine them. - Design and optimize serving architectures, including prefill and decode disaggregation, request routing, and related approaches. - Work down into the serving stack, from frameworks like vLLM and SGLang to the CUDA kernels underneath, profiling and running in-depth analysis to find and fix performance problems. - Adapt and scale optimization methods across many kinds of ML models, with an emphasis on large language models. - Profile and tune deployments against clear targets for latency, throughput, and cost, and keep them dependable under real traffic. - Tailor deployments to each customer's models and constraints, partnering with their engineering teams to move a workload from an early proof of concept through to a live, well-monitored production service. - Build and support the software and product features around the inference stack in a production setting, using one or more general-purpose languages, with Python preferred given how central it is to ML work. - Experiment quickly: take fuzzy goals, shape them into clear specs and focused proofs of concept, run fast experiments to find what works, and ship well-tested results without delay. - Own delivery end to end, from the first experiment through to the optimization running in production, keeping the underlying performance goals, clear specs, and follow-through front of mind, and drafting features and product requirement documents together with other engineering and product teams. - Work through ambiguity and make sound calls on tradeoffs and tooling, steering away from complexity that is not needed. - Take real pride and ownership in your work, hold yourself accountable, and look for the same from the people around you. What You'll Bring to the Team: - A Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. - Hands-on experience shipping code in production with one or more general-purpose languages, such as Python or C++, with a strong preference for Python. - Familiarity with methods for optimizing LLMs for high throughput / low latency inference. - Comfort with modern LLM serving frameworks such as vLLM or SGLang, and with profiling and analyzing performance down to the kernel level. - A firm grasp of how GPUs are built and how they behave. - Clear interest and hands-on experience with large language models. - A working knowledge of AI/ML pipelines and the full path of developing and deploying ML models. - Strong communication skills, particularly when explaining hard technical topics to customers and teammates. Bonus points: - A track record of making software systems run faster, especially for large language models. - Experience with CUDA or comparable technologies. - A strong command of software engineering fundamentals, with a record of building and shipping AI/ML inference systems. - Experience with Docker and Kubernetes. - Prior work building or tuning AI/ML projects, particularly in a customer-facing setting. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role You will spend your time making large language models run faster, cheaper, and more reliably in production. That means owning the inference stack end to end: profiling where time and cost go, bringing modern optimization techniques into real deployments, and getting deep into the serving code when the defaults are not good enough. This is core systems and performance work on some of the most demanding models in use today. The work is applied, not academic. The optimizations you build land in real customer deployments, each with its own models, traffic patterns, latency targets, and cost constraints. So while performance is the heart of the role, you will also work directly with customer engineering teams to tailor deployments to their needs, take a workload from an early proof of concept to a fully monitored production service, and make sure the gains you engineer actually show up for the people running the workload. To set expectations clearly, this is a hands-on engineering role built around coding, profiling, and low-level optimization. It also carries a customer-facing side, along with elements of product and technical solutions work, because that is where the performance work gets proven. What You'll Be Working On: - Bring current inference techniques into production and refine them. - Design and optimize serving architectures, including prefill and decode disaggregation, request routing, and related approaches. - Work down into the serving stack, from frameworks like vLLM and SGLang to the CUDA kernels underneath, profiling and running in-depth analysis to find and fix performance problems. - Adapt and scale optimization methods across many kinds of ML models, with an emphasis on large language models. - Profile and tune deployments against clear targets for latency, throughput, and cost, and keep them dependable under real traffic. - Tailor deployments to each customer's models and constraints, partnering with their engineering teams to move a workload from an early proof of concept through to a live, well-monitored production service. - Build and support the software and product features around the inference stack in a production setting, using one or more general-purpose languages, with Python preferred given how central it is to ML work. - Experiment quickly: take fuzzy goals, shape them into clear specs and focused proofs of concept, run fast experiments to find what works, and ship well-tested results without delay. - Own delivery end to end, from the first experiment through to the optimization running in production, keeping the underlying performance goals, clear specs, and follow-through front of mind, and drafting features and product requirement documents together with other engineering and product teams. - Work through ambiguity and make sound calls on tradeoffs and tooling, steering away from complexity that is not needed. - Take real pride and ownership in your work, hold yourself accountable, and look for the same from the people around you. What You'll Bring to the Team: - A Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. - Hands-on experience shipping code in production with one or more general-purpose languages, such as Python or C++, with a strong preference for Python. - Familiarity with methods for optimizing LLMs for high throughput / low latency inference. - Comfort with modern LLM serving frameworks such as vLLM or SGLang, and with profiling and analyzing performance down to the kernel level. - A firm grasp of how GPUs are built and how they behave. - Clear interest and hands-on experience with large language models. - A working knowledge of AI/ML pipelines and the full path of developing and deploying ML models. - Strong communication skills, particularly when explaining hard technical topics to customers and teammates. Bonus points: - A track record of making software systems run faster, especially for large language models. - Experience with CUDA or comparable technologies. - A strong command of software engineering fundamentals, with a record of building and shipping AI/ML inference systems. - Experience with Docker and Kubernetes. - Prior work building or tuning AI/ML projects, particularly in a customer-facing setting. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. While managing and growing the team, you will stay deeply technical and hands-on with the inference stack end to end: profiling performance, bringing modern optimization techniques into real deployments, and diving into serving code alongside your engineers. This role balances team leadership with core systems and performance engineering on demanding models in production. The work is applied, not academic. The optimizations you build land in real customer deployments, each with its own models, traffic patterns, latency targets, and cost constraints. So while performance is the heart of the role, you will also work directly with customer engineering teams to tailor deployments to their needs, take a workload from an early proof of concept to a fully monitored production service, and make sure the gains you engineer actually show up for the people running the workload. To set expectations clearly, this is an engineering leadership role that combines people management, technical direction, and hands-on coding and profiling. It also carries a customer-facing side, along with elements of product and technical solutions leadership, ensuring performance gains deliver clear business and customer value. What You'll Be Working On: - Bring current inference techniques into production and refine them. - Design and optimize serving architectures, including prefill and decode disaggregation, request routing, and related approaches. - Work down into the serving stack, from frameworks like vLLM and SGLang to the CUDA kernels underneath, profiling and running in-depth analysis to find and fix performance problems. - Adapt and scale optimization methods across many kinds of ML models, with an emphasis on large language models. - Profile and tune deployments against clear targets for latency, throughput, and cost, and keep them dependable under real traffic. - Tailor deployments to each customer's models and constraints, partnering with their engineering teams to move a workload from an early proof of concept through to a live, well-monitored production service. - Build and support the software and product features around the inference stack in a production setting, using one or more general-purpose languages, with Python preferred given how central it is to ML work. - Experiment quickly: take fuzzy goals, shape them into clear specs and focused proofs of concept, run fast experiments to find what works, and ship well-tested results without delay. - Lead team delivery end to end, guiding projects from early experiments to production optimizations, establishing performance goals, and partnering with product and engineering leaders on technical strategy and roadmaps. - Work through ambiguity and make sound calls on tradeoffs and tooling, steering away from complexity that is not needed. - Take real pride and ownership in your work, hold yourself accountable, and look for the same from the people around you. What You'll Bring to the Team: - 2+ years of experience directly managing and leading an engineering team in a high-performance or ML-focused environment. - Strong technical, hands-on experience in software engineering, low-level optimization, or ML infrastructure, with a continued desire to stay close to code and architecture. - A Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. - Hands-on experience shipping code in production with one or more general-purpose languages, such as Python or C++, with a strong preference for Python. - Familiarity with methods for optimizing LLMs for high throughput / low latency inference. - Comfort with modern LLM serving frameworks such as vLLM or SGLang, and with profiling and analyzing performance down to the kernel level. - A firm grasp of how GPUs are built and how they behave. - Clear interest and hands-on experience with large language models. - A working knowledge of AI/ML pipelines and the full path of developing and deploying ML models. - Strong communication skills, particularly when explaining hard technical topics to customers and teammates. Bonus Points - A track record of making software systems run faster, especially for large language models. - Experience with CUDA or comparable technologies. - A strong command of software engineering fundamentals, with a record of building and shipping AI/ML inference systems. - Experience with Docker and Kubernetes. - Prior work building or tuning AI/ML projects, particularly in a customer-facing setting. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ABOUT THIS ROLE: As the Principal Systems Software Architect, you will serve as the visionary lead for Crusoe’s next-generation AI infrastructure. This is a role for an industry-recognized expert who has already "seen the movie" at hyperscale and is ready to redefine the I/O path for the age of generative AI. You aren't just building a cloud; you are designing the fluid fabric that unifies Bare-Metal-as-a-Service (BMaaS), Intelligent IaaS, and Elastic CaaS into a single, high-performance pool of intelligence. In this position, you will bridge the gap between silicon and software, advising executive leadership on critical hardware/software co-design pivots while remaining hands-on enough to lead elite R&D teams in shipping production-grade kernel and orchestration code. We are looking for a master of the I/O path who can push massive-scale training workloads to the theoretical limits of hardware. This is a full-time position. WHAT YOU’LL BE WORKING ON: - Unifying Infrastructure Pillars: - Bare-Metal-as-a-Service (BMaaS): Architect systems that deliver raw GPU throughput via zero-latency InfiniBand/RDMA fabrics for massive-scale training. - Intelligent IaaS: Design highly optimized, thin virtualization layers using KVM or custom micro-VMs to provide enterprise-grade isolation without the "virtualization tax." - Elastic CaaS: Build a high-performance container substrate (utilizing Kubernetes or Slurm) that allows AI workloads to burst and scale across heterogeneous GPU nodes. - Mastering the I/O Path: Lead the architectural design of our internal cloud fabric, drawing on experience from top-tier hyperscalers to drive the technical roadmap for SR-IOV, RDMA, and virtualized GPU scheduling. - Advanced R&D Leadership: Lead elite workstreams to prototype and productionize novel methods for managing memory, networking, and compute that don't yet exist in standard cloud distributions. - Technical Strategy & Documentation: Draft white papers and RFCs that define the next two years of Crusoe’s compute and networking stack. - High-Level Debugging: Work alongside Staff and Senior engineers to resolve complex race conditions in the I/O path and optimize kernel-level memory pinning for GPU clusters. - Industry Influence: Represent Crusoe in open-source communities and industry forums to influence the global direction of cloud-native AI infrastructure. WHAT YOU’LL BRING TO THE TEAM: - Hyperscale Provenance: 12+ years of experience designing and shipping core infrastructure at a major hyperscaler (e.g., OCI, AWS, Azure, GCP) or a specialized HPC cloud. - Deep Systems Authority: Authoritative knowledge of the Linux kernel, virtualization internals (KVM, QEMU, Firecracker), and high-performance networking (RoCE v2, InfiniBand). - Hardware-Software Co-Design: Proven ability to design software that maximizes the performance of NVIDIA/AMD GPUs and high-speed NICs. - R&D Leadership: Experience leading cross-functional teams through high-ambiguity projects and delivering production-ready, mission-critical systems. - Industry Contributions: A portfolio of significant contributions to the field, which may include patents, major open-source contributions, or published research in distributed systems. - Communication Mastery: The rare ability to explain the nuances of memory-mapped I/O to an engineer and the business value of a new fabric architecture to the Board. - Mandatory Education: A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related analytical field (or equivalent professional experience). BONUS POINTS: - Patent Holder: Possession of patents related to network virtualization, GPU scheduling, or distributed file systems. - Open Source Leadership: Maintainer status or significant contributions to the Linux Kernel, Kubernetes, or specialized HPC projects. - AI/ML Workload Expertise: Direct experience optimizing infrastructure for Large Language Model (LLM) training and inference at scale. - Peer-reviewed publications at top systems venues (OSDI, SOSP, NSDI, SC), patents, IETF RFCs - Significant open-source contributions, or industry white papers on distributed systems, high-performance networking, or AI infrastructure BENEFITS - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off COMPENSATION RANGE $260,000 - $340,000 + Significant Equity & Bonus. Compensation is determined by the applicant's depth of expertise, previous impact at scale, and alignment with our architectural goals. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure. You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally. This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence What You’ll Be Working On: - Team Leadership & Strategy: - Lead, mentor, and grow a team of high-caliber software engineers on Crusoe’s - Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability. - Cultivate a high-performance, collaborative engineering culture grounded in technical excellence. - Technical Execution: - Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc. - Ensure delivery of scalable systems capable of handling millions of API requests per second. - Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure. - Collaboration and Influence: - Work cross-functionally with Product, Infrastructure, and GTM stakeholders. - Represent Engineering in strategic discussions to influence AI platform growth and customer adoption. - Promote knowledge sharing, technical mentorship, and the evolution of engineering processes. What You’ll Bring to the Team: - Leadership Experience: - 3+ years managing/leading high-performing engineering teams. - Ability to lead teams through ambiguity and align on complex technical goals. - Proven success hiring, developing, and retaining talent. - Technical Depth: - Hands-on experience with distributed and concurrent systems or AI infrastructure. - Deep knowledge of cloud-native environments, container orchestration, and SOAs. - Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus. - Product & Delivery Focus: - Comfortable owning deliverables from design through production. - Strong collaboration skills, prioritizing clarity, context, and customer impact. - Experience in fast-paced startup or growth-stage environments. - Preferred Qualifications: - Background in Computer Science, Engineering, or a related technical field. - Proficiency in Python/GoLang/Rust. - Experience with Kubernetes, gRPC, and observability stacks. - Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton). - Personal Attributes: - Growth-minded leader who leads and empowers others. - Excellent communicator and relationship builder. - Passionate about building world-class AI infrastructure and teams Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 - 260.000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe's Managed AI Services portfolio launched in late 2025 and is scaling fast: We have already secured triple-digit $M ARR commitments from customers. The portfolio spans Managed Inference (Serverless, Self-Deployed and Tailored Deployment), Serverless Fine Tuning, with Serverless Reinforcement Learning and Agent Sandbox GA landing in H2 2026. As VP of Product Management, you will own the vision, strategy, execution and roadmap for this business, reporting to the SVP of Product Management and partnering directly with the VP Engineering for Managed AI Services. You will lead the portfolio as a business and via strong cross-functional partnerships, anchored in the rise of open models and Crusoe's vertically integrated cloud strategy from electrons to tokens. What You'll Be Working On: - Define the long-term vision, strategy and roadmap for the Managed AI Services portfolio, aligned to customer needs, company goals, market trends and GTM strategy - Build, lead and mentor a team of product managers, owning their performance and development - Partner with engineering, technical program management, product partnerships, marketing, customer success and sales to define requirements, prioritize features and drive the lifecycle from concept through launch and adoption at scale - Own the business metrics for the portfolio, including usage, reliability and production KPIs, pipeline, revenue, gross margin and customer satisfaction, and use that data to drive decisions - Shape go-to-market with sales, marketing and customer success, including positioning, messaging, pricing, routes-to-market and partnerships - Build relationships with key customers, ecosystem partners and GTM partners, translating their feedback into product improvements and working alongside the Director of Product Partnerships on partnership and M&A opportunities - Track the Managed AI competitive landscape and emerging technologies to inform strategy and surface new opportunities - Proactively identify and resolve technical and commercial risks, infrastructure bottlenecks and scaling challenges, and manage product budgets and resources against business goals What You'll Bring to the Team: - Proven product management track record with AI/ML services, including experience building AI managed services and scaling them from scratch - First-hand experience with AI managed services such as inference, tuning, reinforcement learning and agent sandboxes, along with the observability and evaluation practices that support them - Strong understanding of cloud infrastructure technologies and trends, ideally as a builder of planet-scale cloud products at a hyperscaler, neocloud or specialized inference provider - Experience managing and launching technical products and features for AI-native, digital-native and enterprise customers - Proven experience building, leading and mentoring product management teams - Strategic leadership: the ability to set a clear vision, make informed decisions with incomplete information, and guide a cross-functional team toward market awareness, adoption, revenue and gross margin goals - Analytical rigor: comfort interpreting complex market, customer and production data to drive product strategy - Excellent communication and collaboration skills, with the ability to present technical concepts, connect them to business outcomes and build consensus across diverse stakeholders - Hands-on use of AI tools to accelerate the product management craft Bonus Points - Experience leading a technical customer-facing team or operating an AI managed service from the customer or user side - Engineering background prior to moving into product management - Experience with open model ecosystems and the fine-tuning and inference optimization workflows enterprises use to adapt models to their data - Familiarity with Agile and Lean product management methodologies Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $345,000 – $385,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We are seeking a motivated Customer Success Manager to support customers running AI inference workloads on Crusoe's cloud platform. Sitting within the Customer Experience organization, this role helps clients navigate the operational and technical challenges of deploying and scaling AI applications — from model serving and GPU utilization to production readiness. You will support customer relationships, act as a bridge to our technical teams, and help clients maximize the value of our AI and ML solutions. This is a full-time position based in the Bay Area, CA. What You'll Be Working On: - Build and maintain strong customer relationships, understanding their business needs and technical requirements as they deploy inference workloads. - Provide technical guidance to customers implementing and optimizing our cloud-based AI and ML solutions, including Kubernetes, model deployment, autoscaling, and observability. - Conduct regular reviews and report on customer progress against key performance indicators, monitoring adoption, inference consumption, latency, and uptime to surface growth opportunities and risks. - Coordinate with Product, Engineering, CS, and Solutions teams to surface customer challenges and advocate for customer needs on inference platforms and AI services. - Deliver training sessions and workshops to customers on the use and benefits of our products and services. - Address and resolve customer concerns, supporting customers during escalations and service incidents and escalating complex issues as needed. What You'll Bring to the Team: - Bachelor's degree in Business, Engineering, or a related field. - 2+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers in a customer success, technical account management, or similar role. - Solid technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms. - Working understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, and GPU infrastructure. - Excellent interpersonal, communication, and presentation skills, with the ability to engage technical customer teams including AI, ML, and Platform Engineers. - Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets. Bonus Points: - Familiarity with LLMs, RAG architectures, agentic applications, and inference optimization concepts. - Experience supporting Managed Inference, model serving platforms, or GPU-based inference environments. - Experience contributing to customer case studies or advocacy programs. Benefits: - Industry competitive pay - Restricted Stock Units in a fast growing, well-funded technology company - Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents - Employer contributions to HSA accounts - Paid Parental Leave - Paid life insurance, short-term and long-term disability - Teladoc - 401(k) with a 100% match up to 4% of salary - Generous paid time off and holiday schedule - Cell phone reimbursement - Tuition reimbursement - Subscription to the Calm app - MetLife Legal - Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $175,000 – $200,000 OTE. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: We are seeking a highly motivated and skilled Senior Customer Success Manager with a strong background in customer engagement and a deep technical understanding of cloud computing, AI, and ML. The ideal candidate has experience supporting customers running production AI inference workloads and understands the operational, technical, and business challenges associated with deploying and scaling AI applications. Experience supporting Managed Inference, model serving platforms, LLM deployments, AI agents, or GPU-based inference environments is highly preferred. This role is pivotal in ensuring that our clients maximize the value of our solutions, guiding them through the technical complexities and empowering them with the tools and knowledge to achieve their business and sustainability goals. This is a full-time position. What You’ll Be Working On: - Customer Relationship Management: Develop and maintain strong, long-lasting customer relationships, understanding their business needs and technical requirements. - Own strategic relationships with AI-native customers deploying production inference workloads, helping them achieve performance, reliability, latency, scalability, and cost optimization objectives. - Customer Advocacy: Work on case studies to highlight customer successes. - Technical Liaison: Act as the bridge between our clients and our technical team, ensuring clear communication and alignment of goals. - Technical Guidance and Support: Provide technical guidance and support to customers in the implementation and optimization of our cloud-based AI and ML solutions including Kubernetes solutions. - Partner with customers on model deployment strategies, inference optimization, GPU utilization, autoscaling, throughput management, observability, and production readiness best practices. - Performance Monitoring and Reporting: Conduct regular reviews and report on customer progress, ensuring the achievement of key performance indicators and return on investment. - Monitor customer adoption, inference consumption trends, latency metrics, uptime, capacity utilization, and business outcomes to identify growth opportunities and potential risks. - Customer Journey Coordination: Coordinate with the product and engineering teams to define customer journeys, challenges, and opportunities. - Partner closely with Product, Engineering, CS, and Solutions teams to advocate for customer needs and influence roadmap priorities related to inference platforms and AI services. - Industry and Technical Awareness: Stay up-to-date with industry trends, technical advancements, and regulatory changes to provide strategic advice to clients. - Maintain a strong understanding of emerging AI technologies, LLMs, model serving architectures, agentic workflows, inference optimization techniques, and GPU infrastructure trends. - Customer Training: Deliver training sessions and workshops to customers on the use and benefits of our products and services. - Issue Resolution: Address and resolve customer concerns, ensuring high levels of customer satisfaction and retention. - Act as a trusted advisor during customer escalations, service incidents, and critical production events, helping customers navigate complex technical and business challenges. What You’ll Bring to the Team: - Educational Background: Bachelor’s degree in Business, Engineering, or a related field. Advanced degree preferred. - Professional Experience: Proven experience in customer success, technical account management, or a similar role in a technology-driven environment. - 3+ years of experience supporting enterprise cloud, AI, machine learning, developer platform, or infrastructure customers. - Experience managing strategic accounts running production AI workloads is strongly preferred. - Technical Proficiency: Strong technical foundation in cloud computing platforms, AI, and ML technologies, with the ability to communicate complex concepts in simple terms. - Strong understanding of inference workloads, model serving architectures, Kubernetes, containers, APIs, GPU infrastructure, and AI application deployment patterns. - Familiarity with LLMs, RAG architectures, agentic applications, model performance metrics, and inference optimization concepts is highly desirable. - Interpersonal Skills: Excellent interpersonal, communication, and presentation skills. - Relationship Building: Demonstrated ability to build relationships at all levels within an organization. - Ability to engage effectively with both executive stakeholders and deeply technical customer teams, including AI Engineers, ML Engineers, Platform Engineers, and Infrastructure leaders. - Adaptability: Comfortable working in a fast-paced environment with ambiguous and/or iterative fact-sets. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $190,000 – $215,000 OTE. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We’re seeking a Staff Product Security Engineer with deep AI/ML security expertise to strengthen Crusoe’s security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and building secure-by-design guardrails that engineering teams rely on. You’ll operate at the intersection of offensive security, AI systems, and production engineering; owning security outcomes end-to-end while influencing system design across the organization. What You’ll Be Working On - Performing advanced manual penetration testing across complex applications, infrastructure, Kubernetes environments, and distributed microservice ecosystems - Leading offensive security initiatives including red team operations, adversary simulation, and security research - Securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows - Identifying and researching novel attack surfaces unique to LLMs and autonomous systems, contributing to internal and external AI security research - Influencing secure system design across the SDLC, embedding security into CI/CD pipelines, container images, and deployment workflows - Integrating and operationalizing security tooling (SAST, DAST, SCA, container scanning) and driving remediation of complex application-layer vulnerabilities - Building internal security guardrails such as hardened base images, reusable libraries, and policy-as-code frameworks - Developing production-grade security tooling and leading cross-functional security programs from design through deployment What You’ll Bring to the Team - 8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation - Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research - Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., ReAct, Reflexion) - Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments - Strong software engineering foundations with experience shipping production code in Go, Python, or Rust - Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments - Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design - Demonstrated ability to lead complex, cross-functional security initiatives end-to-end - Strong communication skills with the ability to influence both engineering teams and executive stakeholders Bonus Points - Public contributions to offensive security or AI security research (talks, blogs, tooling, CVEs, etc.) - Experience building internal red team or adversary simulation programs - Background in high-performance computing, AI infrastructure, or cloud-native platform security - Experience designing policy-as-code frameworks at scale Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off Compensation Range Compensation will be paid in the range of up to $250,000 - $285,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.