Senior Legal Counsel, Cloud Sales

🏢 Summary: Legal leadership role focused on capital markets and securities transactions for a fast-growing AI infrastructure company. The position leads equity and debt offerings, Rule 144A transactions, governance support, and regulatory compliance while partnering closely with finance and corporate teams. The role also supports cross-functional legal advisory work in a dynamic in-house environment. 🗂️ Requirements: JD from accredited law school, Active membership in at least one U.S. state bar, 4-7 years of corporate and securities experience, Experience in capital markets and securities transactions, Experience leading public and private capital markets offerings, Knowledge of corporate governance, Knowledge of securities reporting and regulatory compliance, Ability to manage complex corporate and transactional matters, Strong analytical and problem-solving skills, Ability to manage multiple projects in fast-paced environment, Proficiency with Google Workspace, Proficiency with Microsoft Office, Proficiency with AI tools 📃 Skills: Rule144A, Securities, CapitalMarkets, CorporateGovernance, RegulatoryCompliance, GoogleWorkspace, MicrosoftOffice, Claude, Gemini, KYC 🏢 Description: 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 seeking a talented and motivated attorney to join our Legal team as Director, Legal Counsel, Capital Markets. This role is essential for building a best-in-class corporate legal function to support Crusoe's rapid growth, capital-raising activity, and increasing complexity. Reporting to the VP & Assistant General Counsel, Securities, you will be the primary legal point of contact for Crusoe's capital markets and financing activity — leading equity and debt security transactions from diligence through closing, including Rule 144A and other private placements. This position offers a unique opportunity to have a direct impact on our company's trajectory, helping to support the financing required for the next stages of our growth. This role works in close partnership with our Director, Legal Counsel, Corporate & Securities. The two positions are designed to provide seamless cross-coverage for one another across the full corporate and securities mandate, and the ideal candidate is comfortable stepping into governance and regulatory matters when needed. The ideal candidate is a detail-oriented and pragmatic legal professional with significant law firm training and a desire to apply their expertise in a dynamic, in-house environment. Capital Markets (Primary Focus) - Lead legal execution of primary and secondary capital markets transactions — including equity offerings, debt security offerings, convertible instruments, and private placements — from initial diligence through negotiation, signing, and closing. - Manage Rule 144A offerings, including reviewing offering memoranda, purchase agreements, indentures, and related transaction documents, and coordinating with initial purchasers, trustees, and rating agencies. - Manage the completion of disclosure schedules, ancillary documents and KYC requests; coordinate document flow with investors, banks, and outside counsel. - Work with finance team to oversee post-closing matters and ensure ongoing compliance with covenants, obligations, and reporting requirements. - Partner with the real estate and debt finance legal teams on project financings, coordinating on diligence, financing structure, offering documentation and related transaction documents. - Maintain organized internal deal files and corporate records. Develop standardized templates, checklists, and playbooks to improve team efficiency and transaction consistency. Governance & Regulatory Compliance (Cross-Coverage) - Provide backup and surge support to the Corporate & Securities function, including preparing Board and committee materials (agendas, presentations, minutes, and resolutions). - Assist with stockholder consents and notices, and advise on company governing and investor documents (charter, bylaws, voting agreements, investor rights agreements, and rights of first refusal). - Support securities-related disclosures and periodic or event-driven investor reporting, and advise on policies and equity transaction reporting as needed. Cross-Functional Partnership - Serve as a key legal advisor on corporate and securities matters to partners across the company, including Finance, Accounting, Investor Relations, and HR. - Translate complex legal and regulatory requirements into clear, practical guidance for business stakeholders. What You'll Bring - Juris Doctor (JD) from an accredited law school and active membership in good standing in at least one U.S. state bar. - A minimum of 4-7 years of corporate and securities experience at a top-tier law firm, with a primary concentration in capital markets and securities transactions. - Hands-on experience leading or playing a substantial role in public and private capital markets offerings. - Working knowledge of corporate governance, securities reporting, and regulatory compliance. - Proven track record of advising companies on complex corporate and transactional matters. - Exceptional attention to detail with strong analytical and problem-solving skills. - Excellent business judgment and strong communication skills, with the ability to effectively advise and influence stakeholders at all levels. - Demonstrated ability to handle sensitive and confidential information with extreme professionalism. - A proactive, team-oriented mindset with the ability to manage multiple projects in a fast-paced environment. - Proficiency with Google Workspace, Microsoft Office, and AI tools (Claude, Gemini). - In-house experience at a technology or high-growth company is a plus. 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 $235,000 - $275,000 + 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.

🏢 Summary: Legal leadership role focused on capital markets, securities transactions, and corporate governance support for a fast-growing AI infrastructure company. The position leads equity and debt offerings, manages Rule 144A transactions, and advises cross-functional teams on regulatory and financing matters. The role also supports governance, investor reporting, and compliance activities in a dynamic in-house legal environment. 🗂️ Requirements: Juris Doctor (JD) from an accredited law school, Active membership in good standing in at least one U.S. state bar, 4-7 years of corporate and securities experience at a top-tier law firm, Experience with capital markets and securities transactions, Experience leading public and private capital markets offerings, Knowledge of corporate governance and securities reporting, Knowledge of regulatory compliance, Strong analytical and problem-solving skills, Ability to manage multiple projects in a fast-paced environment, Proficiency with Google Workspace, Proficiency with Microsoft Office, Proficiency with AI tools 📃 Skills: JD, Rule144A, Securities, Governance, Compliance, GoogleWorkspace, MicrosoftOffice, Claude, Gemini, Finance, Accounting 🏢 Description: 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 seeking a talented and motivated attorney to join our Legal team as Director, Legal Counsel, Capital Markets. This role is essential for building a best-in-class corporate legal function to support Crusoe's rapid growth, capital-raising activity, and increasing complexity. Reporting to the VP & Assistant General Counsel, Securities, you will be the primary legal point of contact for Crusoe's capital markets and financing activity — leading equity and debt security transactions from diligence through closing, including Rule 144A and other private placements. This position offers a unique opportunity to have a direct impact on our company's trajectory, helping to support the financing required for the next stages of our growth. This role works in close partnership with our Director, Legal Counsel, Corporate & Securities. The two positions are designed to provide seamless cross-coverage for one another across the full corporate and securities mandate, and the ideal candidate is comfortable stepping into governance and regulatory matters when needed. The ideal candidate is a detail-oriented and pragmatic legal professional with significant law firm training and a desire to apply their expertise in a dynamic, in-house environment. Capital Markets (Primary Focus) - Lead legal execution of primary and secondary capital markets transactions — including equity offerings, debt security offerings, convertible instruments, and private placements — from initial diligence through negotiation, signing, and closing. - Manage Rule 144A offerings, including reviewing offering memoranda, purchase agreements, indentures, and related transaction documents, and coordinating with initial purchasers, trustees, and rating agencies. - Manage the completion of disclosure schedules, ancillary documents and KYC requests; coordinate document flow with investors, banks, and outside counsel. - Work with finance team to oversee post-closing matters and ensure ongoing compliance with covenants, obligations, and reporting requirements. - Partner with the real estate and debt finance legal teams on project financings, coordinating on diligence, financing structure, offering documentation and related transaction documents. - Maintain organized internal deal files and corporate records. Develop standardized templates, checklists, and playbooks to improve team efficiency and transaction consistency. Governance & Regulatory Compliance (Cross-Coverage) - Provide backup and surge support to the Corporate & Securities function, including preparing Board and committee materials (agendas, presentations, minutes, and resolutions). - Assist with stockholder consents and notices, and advise on company governing and investor documents (charter, bylaws, voting agreements, investor rights agreements, and rights of first refusal). - Support securities-related disclosures and periodic or event-driven investor reporting, and advise on policies and equity transaction reporting as needed. Cross-Functional Partnership - Serve as a key legal advisor on corporate and securities matters to partners across the company, including Finance, Accounting, Investor Relations, and HR. - Translate complex legal and regulatory requirements into clear, practical guidance for business stakeholders. What You'll Bring - Juris Doctor (JD) from an accredited law school and active membership in good standing in at least one U.S. state bar. - A minimum of 4-7 years of corporate and securities experience at a top-tier law firm, with a primary concentration in capital markets and securities transactions. - Hands-on experience leading or playing a substantial role in public and private capital markets offerings. - Working knowledge of corporate governance, securities reporting, and regulatory compliance. - Proven track record of advising companies on complex corporate and transactional matters. - Exceptional attention to detail with strong analytical and problem-solving skills. - Excellent business judgment and strong communication skills, with the ability to effectively advise and influence stakeholders at all levels. - Demonstrated ability to handle sensitive and confidential information with extreme professionalism. - A proactive, team-oriented mindset with the ability to manage multiple projects in a fast-paced environment. - Proficiency with Google Workspace, Microsoft Office, and AI tools (Claude, Gemini). - In-house experience at a technology or high-growth company is a plus. 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 -$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.

🏢 Summary: Full-time onsite Supply Chain Operations Analyst role focused on managing and optimizing the purchase order lifecycle for networking hardware and compute infrastructure. The position involves procurement process improvement, supply chain analytics, vendor coordination, and cross-functional collaboration using enterprise procurement tools and advanced data analysis. The role supports AI infrastructure operations with responsibilities spanning sourcing, warranty management, and operational efficiency. 🗂️ Requirements: Bachelor’s degree in Supply Chain Management, Logistics, Business Administration, or related field, 3+ years of procurement or supply chain experience, Experience managing complex global supply chains, Experience with vendor onboarding and process improvement, Advanced Excel skills, Hands-on experience with Coupa, Hands-on experience with Jira, Ability to manage networking hardware procurement lifecycle, Experience collaborating with technical and external stakeholders 📃 Skills: Excel, Coupa, Jira, Procurement, SupplyChain, Logistics, Dashboards, DataModeling, Networking, Infrastructure 🏢 Description: 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. Crusoe seeks a dedicated and strategic Supply Chain Operations Analyst to oversee and optimize our purchase order process. This role is critical for driving efficiency, cost-effectiveness, and high quality within our supply chain management, directly contributing to the overall success of Crusoe's networking services. We are looking for an innovative leader who combines strategic thinking with operational excellence, bringing a strong background in procurement, analytical skills, and process improvement to the team. Quick Facts - Full-time onsite position in San Francisco or Bellevue, Washington What You'll Be Working On: - End-to-End Supply Chain Management: Own the complete purchase order lifecycle for networking hardware—from initial sourcing and requisition approvals to purchase order execution and final delivery. - Process Optimization: Analyze and streamline procurement workflows to eliminate bottlenecks, accelerate approval cycles, and ensure a seamless operational flow. - Data-Driven Insights: Leverage Coupa and advanced Excel to monitor supply chain performance, build intuitive dashboards, and deliver actionable insights to leadership. - Lifecycle & Warranty Management: Oversee hardware warranty entitlement and renewals for data center networking and compute infrastructure across a diverse multi-vendor ecosystem. - Cross-Functional Collaboration: Partner with internal technical teams and external stakeholders to align demand forecasting, validate technical specifications, and ensure strict process compliance. What You’ll Bring: - Education: Bachelor’s degree in Supply Chain Management, Logistics, Business Administration, or a related field. - Experience: 3+ years of progressive procurement or supply chain experience, ideally within the energy sector or a critical infrastructure environment. - Proven Track Record: Demonstrated success managing complex global supply chains, driving vendor onboarding, and implementing continuous process improvements. - Technical Proficiency: High expertise in Excel (data modeling, dashboards) and hands-on experience navigating enterprise procurement tools, specifically Coupa and Jira. 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: - Compensation will be paid in the range of up to $100,000 - $115,000 + 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.

🏢 Summary: Technical IT Project Manager role focused on leading complex IT and security initiatives that support scalable AI infrastructure and enterprise systems. The position owns end-to-end delivery, Agile governance, risk management, and executive reporting across IT, Security, and Enterprise Technology teams. The role includes collaboration on cloud, identity, security, and enterprise technology programs in a high-growth environment. 🗂️ Requirements: 10+ years managing complex IT infrastructure or security programs, Expert proficiency in Jira, Expert proficiency in Confluence, Experience with Agile governance processes, Technical foundation in cloud architecture, Technical foundation in Zero Trust or Identity management, Technical foundation in secrets management or enterprise systems, Ability to manage full project lifecycle delivery, Experience with executive reporting and dashboards, Strong risk management and mitigation planning skills 📃 Skills: Jira, Confluence, GCP, Azure, Okta, Vault, Oracle, Acumatica, Agile, SaaS 🏢 Description: 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 Technical IT Project Manager to join APEX (Accelerating Productivity, Execution, and Excellence) within the Prism organization (IT, Security, and Governance). In this role, you will own the end-to-end lifecycle of mission-critical IT initiatives that enable Crusoe’s digital backbone to scale alongside our rapidly expanding data center footprint. This is not a task-tracking role. You will serve as the connective tissue across IT, Security, and Enterprise Technology; ensuring technical rigor, operational discipline, and executive visibility across high-impact programs. What You’ll Be Working On - Managing scope, schedule, budget, and resources for complex IT and security initiatives - Owning full lifecycle delivery from intake through deployment and post-launch stabilization - Proactively identifying delivery risks, system bottlenecks, and security remediation gaps while maintaining a clear single source of truth for mitigation plans - Coordinating change management and workforce communications to drive adoption of new systems and processes - Acting as the primary liaison across System Engineering, Enterprise Technology, Service Desk, and Security/GRC teams - Facilitating priority alignment with department leaders to ensure execution supports C-suite objectives - Managing vendor and SaaS procurement cycles in partnership with stakeholders - Implementing and refining Agile governance processes, including standardized Jira structures for Initiatives, Epics, and Tasks - Providing executive-ready dashboards and reporting for the CTO and senior leadership, highlighting critical path items and value capture metrics What You’ll Bring to the Team - 10+ years of experience managing complex IT infrastructure or security programs in high-growth environments - Expert-level proficiency in Jira and Confluence, with experience designing structured boards that support both granular execution and executive reporting - Strong technical foundation in at least two core areas such as cloud architecture (GCP/Azure), Zero Trust/Identity (Okta), secrets management (Vault), or enterprise systems (Oracle/Acumatica) - Proven ability to translate technical blockers into concise, business-impact summaries for leadership - Strong risk management instincts with a proactive, no surprises operating style Bonus Points - Experience operating within IT & Security organizations at infrastructure or AI-focused companies - Experience formalizing Agile operating models across multi-functional teams - Demonstrated success driving AI-enabled process transformation initiatives - Background supporting global teams or infrastructure buildouts Benefits - Competitive compensation - Restricted Stock Units - Paid time off and paid holidays - Comprehensive health, dental, and vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development and tuition reimbursement - Mental health and wellness support - Commuter benefits (parking and 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 $180,000 - $200,000 plus bonus. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s knowledge, education, abilities, 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.

🏢 Summary: Senior Enterprise Sales Executive role focused on selling an AI agent platform to enterprise customers through full-cycle consultative sales. The position involves building pipeline, leading complex sales engagements, developing ROI-driven business cases, and driving large ARR growth in technical enterprise environments. Candidates should have strong enterprise sales experience, technical fluency, and success closing high-value SaaS or AI platform deals. 🗂️ Requirements: 8+ years enterprise sales experience, Experience closing $250K–$1M+ ARR deals, Proven quota achievement, Experience building pipeline through outbound prospecting, Experience selling to C-suite executives, Consultative selling expertise, Ability to build ROI-driven business cases, Experience selling technical enterprise products, Knowledge of enterprise software and integrations, Technical fluency with APIs, cloud infrastructure, security, and data ecosystems, Experience with land-and-expand sales strategies 📃 Skills: SaaS, AI, APIs, Cloud, Security, Data, Automation, RPA, MEDDIC, Challenger, Infrastructure, Salesforce 🏢 Description: About Trase Trase is AI, Uncomplicated. Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase is an end-to-end platform for deploying, managing, and optimizing AI in the enterprise—bridging the "last mile" of AI adoption to drive efficiency and significant cost savings. We're in production at Duke Health, where our agents save over 5,490 hours of clinical labor annually in a single department. We've raised $10.5M from Red Cell Partners and top the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of Google, Meta, Microsoft, and OpenAI. The Role Trase is seeking a Senior Enterprise Sales Executive to own the full sales cycle for net-new enterprise customers. You will sell Trase's AI agent platform into complex organizations, leading consultative sales cycles focused on measurable business outcomes, ROI, and successful production deployments. This is a high-impact role for an enterprise seller who thrives in technical environments, can engage C-suite stakeholders, builds pipeline from the ground up, and is excited to help define a new category in AI. What You Will Do - Own the full enterprise sales cycle, from prospecting through close and expansion - Build and execute territory strategies to generate pipeline and drive predictable ARR growth - Identify and engage executive sponsors, economic buyers, and key stakeholders across complex organizations - Lead consultative discovery to understand customer workflows, business challenges, and operational opportunities - Develop ROI-driven business cases and value propositions tied to measurable outcomes - Design and execute successful POCs with clear objectives and executive alignment - Partner with Solutions Engineering, Product, Engineering, Marketing, and Executive Leadership to advance opportunities and ensure customer success - Provide customer insights to influence product strategy, positioning, and go-to-market efforts - Position Trase's AI agent platform against legacy automation, point solutions, and consulting alternatives - Consistently achieve or exceed pipeline and ARR targets About You - 8+ years of enterprise sales experience with success closing $250K–$1M+ ARR deals and exceeding quota - History of building pipeline from zero through outbound prospecting, territory development, and strategic account planning - Experience selling directly to C-suite executives and senior business leaders - Strong consultative selling skills with the ability to uncover customer needs and build compelling business cases - Comfort selling technical products in ambiguous, fast-moving environments and helping define a new market category - Technical fluency across enterprise software, integrations, APIs, cloud infrastructure, security, and data ecosystems - Experience driving land-and-expand strategies that grow initial deployments into larger enterprise partnerships Preferred Experience - Selling enterprise SaaS, AI, data, cloud, automation, or infrastructure platforms - Familiarity with MEDDIC, Challenger, or other enterprise sales methodologies - Experience partnering with Solutions Engineers, Product, Engineering, and executive teams - Background selling into complex or regulated industries such as healthcare, financial services, energy, or government - Exposure to AI, automation, RPA, agent-based systems, search, or data infrastructure What This Role Is Not - A renewal or account-management role - An inbound-only sales motion - A transactional product sales role This is a true enterprise hunter role focused on building relationships, creating demand, and closing transformational $250K–$10M+ ARR platform deals. Compensation Base salary of $175,000–$225,000 plus bonus. Compensation will be based on experience, skills, qualifications, and other relevant factors. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family - Paid maternity and paternity leave for 14 weeks at employees' normal pay - Unlimited PTO with management approval - Opportunities for professional development and continued learning - Optional 401K, FSA, and equity incentives available - Mental health benefits available through Tara Mind - Cost effective GLP-1 solutions available through Crux Equal Opportunity Employer You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability. Applicant Data Disclosure By submitting an application, you acknowledge that third-party service providers facilitate recruitment and hiring processes, including applicant tracking systems, candidate verification platforms, and fraud detection tools. Application materials may be processed for: - Managing and administering applications throughout the hiring process - Verifying the accuracy and authenticity of application materials - Identifying indicators of potentially fraudulent or materially misleading application content Applications flagged for fraud or material misrepresentation may be declined from further consideration. Information will be retained only as long as necessary to fulfill recruitment and legal obligations.

🏢 Summary: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Role focused on building and optimizing large-scale GPU supercomputing infrastructure for AI training and inference. The position involves low-level GPU kernel optimization, distributed compute systems, and full-stack performance tuning across hardware and platform layers. Candidates will work closely with AI research teams to improve scalability, reliability, and training speed. 🗂️ Requirements: Deep low-level systems programming experience, Experience with large-scale GPU clusters, Hands-on GPU kernel optimization, Experience with distributed compute infrastructure, Ability to optimize memory-bound and compute-bound workloads, Strong communication skills 📃 Skills: CUDA, C, C++, PTX, SASS, CUTLASS, Nsight, Linux, GPU, Tensor 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress. RESPONSIBILITIES: - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance - Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operation - Collaborate closely with AI research teams to deliver production-grade performance and scalability PREFERRED SKILLS AND EXPERIENCE: - Deep low-level systems programming (C/C++/PTX/SASS) - Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale - Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling) - Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms) - Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Design and build a GPU-accelerated compute orchestration platform for distributed AI training, inference, and large-scale research workloads. The role focuses on managing GPU clusters, bare-metal provisioning, and intelligent resource scheduling with cloud-like simplicity. You will develop scalable, high-performance systems enabling programmatic access to multi-tenant AI infrastructure. 🗂️ Requirements: 5+ years software engineering experience, Experience building compute orchestration or distributed compute systems, Strong Kubernetes knowledge and workload deployment experience, Proficiency in Go, C/C++, Python, or Rust, Strong Linux systems programming experience, Experience with virtualization and container technologies, Understanding of GPU architectures and resource management, Experience with bare-metal provisioning and lifecycle management, Ability to design scalable, high-performance systems 📃 Skills: Go, C++, Python, Rust, Kubernetes, Docker, KVM, Xen, CUDA, NVIDIA, GPUDirect, SR-IOV, vGPU, InfiniBand, RDMA, NVLink, NVSwitch, Terraform, FastAPI, gRPC, Linux, SLURM 🏢 Description: Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity. Job Responsibilities Compute Orchestration Systems: Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments. Resource Management & Scheduling: Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads. Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads. GPU Platform Engineering: Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems. Bare-Metal Lifecycle Management: Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation. Performance-Critical Systems: Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments. Platform APIs & Integration: Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure. Observability & Monitoring: Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health. Multi-Tenancy and Isolation: Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations. Requirements Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments. Compute Platform Engineering: Strong background in building compute orchestration, resource scheduling, or workload management systems at scale. Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations. Programming Skills: Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued. Linux & Systems Programming: Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management. Virtualization & Containers: Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms. GPU Computing Fundamentals: Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly. Bare-Metal Infrastructure: Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers. Problem-Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture. Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation. Commitment to Growth: Growth mindset with continuous focus on learning and professional development. Preferred Qualifications Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters) Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing Background in container orchestration platforms with custom scheduling or resource management Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch) Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements Understanding of distributed training patterns and multi-node GPU coordination Experience building infrastructure for research institutions,labs, or technical computing environments Background in financial services or other regulated industry infrastructure is a plus Key Technologies Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programming Why Moonlite Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure. Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction. Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments. Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space. We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together. #li-remote

🏢 Summary: Engineering role focused on designing and building a GPU-accelerated compute orchestration platform for distributed AI training, inference, and large-scale research workloads. The position involves developing systems for GPU cluster management, bare-metal provisioning, intelligent scheduling, and multi-tenant resource isolation. You will create high-performance, cloud-like infrastructure enabling programmatic access to scalable compute resources. 🗂️ Requirements: 5+ years software engineering experience in compute platforms or distributed infrastructure, Experience building compute orchestration or resource scheduling systems at scale, Strong knowledge of Kubernetes architecture and container orchestration, Proficiency in Go, C/C++, Python, or Rust, Strong Linux systems programming experience, Experience with virtualization technologies and container runtimes, Understanding of GPU architectures and CUDA, Experience with bare-metal provisioning and lifecycle management 📃 Skills: Go, C++, Python, Rust, Kubernetes, Docker, KVM, Xen, CUDA, Linux, SLURM, Terraform, gRPC, FastAPI, InfiniBand, RDMA, NVLink, NVSwitch, GPUDirect, SR-IOV, vGPU 🏢 Description: Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity. Job Responsibilities Compute Orchestration Systems: Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments. Resource Management & Scheduling: Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads. Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads. GPU Platform Engineering: Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems. Bare-Metal Lifecycle Management: Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation. Performance-Critical Systems: Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments. Platform APIs & Integration: Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure. Observability & Monitoring: Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health. Multi-Tenancy and Isolation: Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations. Requirements Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments. Compute Platform Engineering: Strong background in building compute orchestration, resource scheduling, or workload management systems at scale. Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations. Programming Skills: Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued. Linux & Systems Programming: Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management. Virtualization & Containers: Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms. GPU Computing Fundamentals: Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly. Bare-Metal Infrastructure: Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers. Problem-Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture. Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation. Commitment to Growth: Growth mindset with continuous focus on learning and professional development. Preferred Qualifications Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters) Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing Background in container orchestration platforms with custom scheduling or resource management Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch) Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements Understanding of distributed training patterns and multi-node GPU coordination Experience building infrastructure for research institutions,labs, or technical computing environments Background in financial services or other regulated industry infrastructure is a plus Key Technologies Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programming Why Moonlite Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure. Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction. Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments. Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space. We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together. #li-remote

🏢 Summary: Offer for a Cloud Solutions Consultant role focused on designing and consulting cloud architectures aligned with business needs. The position combines pre-sales support, technical solution design, and cloud cost optimization in Google Cloud environments. The role involves close collaboration with clients and engineering teams, including PoC validation and technical workshops. 🗂️ Requirements: Experience in pre-sales with cloud services, Practical experience with Google Cloud Platform, Hands-on knowledge of Kubernetes and VMware, Strong knowledge of cloud networking (VPC, routing, firewalls), Knowledge of cloud security best practices (IAM, IDP, MFA, data protection), Experience with infrastructure automation tools, Ability to design cloud architectures, Experience conducting PoC projects, English proficiency for business and technical communication 📃 Skills: GCP, Kubernetes, VMware, Terraform, Ansible, IAM, IDP, MFA, VPC, Routing, Firewalls, FinOps, Networking, Cybersecurity, Presales, PoC, Multicloud, Virtualization, English 🏢 Description: Szukasz wyzwań, w których Twoja wiedza techniczna spotyka się z biznesowym podejściem? Chcesz projektować rozwiązania, które realnie transformują cyfrowy krajobraz klientów? Jako Cloud Solutions Consultant staniesz się kluczowym pomostem między technicznym światem chmury a potrzebami biznesu. Dołącz do naszego zespołu i twórz nowoczesną architekturę IT! Twój zakres obowiązków Wsparcie Pre-sales & Consulting: Aktywne współpraca z działem sprzedaży w niestandardowych projektach, udział w innowacyjnych procesach transformacji chmurowej oraz współtworzenie ofert technicznych. Analiza biznesowa: Prowadzenie dialogu z klientami, analiza ich potrzeb oraz przekładanie wymagań biznesowych na optymalne rozwiązania chmurowe. Projektowanie rozwiązań: Przygotowywanie architektury oraz kompleksowych opisów technicznych we współpracy z działem wdrożeń i partnerami technologicznymi. Współpraca inżynieryjna: Bliska kooperacja z architektami chmury publicznej oraz specjalistami ds. infrastruktury sieciowej i cyberbezpieczeństwa. Walidacja techniczna: Przeprowadzanie projektów typu PoC ( Proof of Concept ). Optymalizacja FinOps: Analiza i optymalizacja kosztowa proponowanych środowisk chmurowych. Ewangelizacja i prezentacje: Prowadzenie prezentacji oraz warsztatów technicznych dla interesariuszy wewnętrznych i zewnętrznych, a także reprezentowanie firmy i udział w konferencjach branżowych. Nasze wymagania Doświadczenie w Pre-sales: Praktyka w pracy z usługami chmurowymi oraz bezpośredniej współpracy z klientem na etapie przedsprzedażowym. Znajomość GCP: Dobra znajomość platformy Google Cloud Platform (zarządzanie zasobami, architektura rozwiązań, optymalizacja kosztów). Multicloud & Wirtualizacja: Praktyczna znajomość rozwiązań kontenerowych (Kubernetes / K8s) oraz środowisk wirtualizacji (VMware). Network & Cybersec: Solidna wiedza z zakresu warstwy sieciowej w chmurze (routing, VPC, firewalle) oraz najlepszych praktyk bezpieczeństwa (IAM, IDP, MFA, ochrona danych). Automatyzacja: Znajomość narzędzi do automatyzacji infrastruktury (np. Terraform, Ansible). Komunikacja i prezentacja: Umiejętność efektywnego przekonywania biznesu do rozwiązań technicznych oraz swoboda w prowadzeniu warsztatów. Język angielski: Poziom umożliwiający płynną komunikację biznesową i techniczną (spotkania, warsztaty, tworzenie dokumentacji). Mile widziane Certyfikaty chmurowe: np. Google Cloud Associate Cloud Engineer , AWS Certified Solutions Architect – Associate , Microsoft Certified: Azure Administrator Associate (AZ-104) . Szerokie spojrzenie na IT: Ogólna znajomość zagadnień z obszarów Data Center, bezpieczeństwa IT oraz transmisji danych. Co oferujemy? Nowoczesny stos technologiczny: Pracę przy innowacyjnych projektach z wykorzystaniem najnowszych rozwiązań Google Cloud. Rozwój i upskilling: Dofinansowanie do szkoleń, certyfikacji oraz udziału w kluczowych wydarzeniach branżowych. Eksperckie środowisko: Współpracę z doświadczonymi specjalistami i zespołem pasjonatów technologii chmurowych. Elastyczność: Elastyczne godziny pracy oraz pełną swobodę wyboru modelu pracy (biuro / hybryda / remote), jak i forma współpracy (UOP lub B2B). Pakiety benefitów: Prywatna opieka medyczna w LuxMed, karta MultiSport oraz ubezpieczenie na życie. Kultura pracy: Brak dress code'u, partnerska atmosfera oraz liczne oferty i zniżki pracownicze w Grupie Polsat Plus.