Job Description Day in the life: In this role, you will be expected to Solution Design & Customisation: Work closely with customers to understand their business challenges and technical requirements. Design and propose customized solutions leveraging Cloud, Network, AI, and Machine Learning technologies that best fit their needs. Sales Support & Enablement: Collaborate with the sales team to provide technical support during the sales process, including delivering presentations, conducting technical demonstrations, and assisting in the development of proposals and RFP responses. Customer Engagement: Engage with prospects and customers throughout the sales cycle, providing technical expertise and acting as the technical liaison between the customer and the company. Conduct deep-dive discussions and workshops to uncover technical requirements and offer viable solutions. Proof of Concept (PoC): Lead the technical aspects of PoC engagements, demonstrating the capabilities and benefits of the proposed solutions. Collaborate with the customer to validate the solution, ensuring it aligns with their expectations. Product Demos & Presentations: Deliver compelling product demos and presentations tailored to the customer s business and technical needs, helping organisations unlock innovation and growth through AI. Simplify complex technical concepts to ensure that both business and technical stakeholders understand the value proposition. Proposal Development & RFPs: Assist in crafting technical proposals, responding to RFPs (Request for Proposals), and providing technical content that highlights the company s offerings, differentiators, and technical value. Technical Workshops & Trainings: Facilitate customer workshops and training sessions to enable customers to understand the architecture, functionality, and capabilities of the solutions offered. Collaboration with Product & Engineering Teams: Provide feedback to product management and engineering teams based on customer interactions and market demands. Help shape future product o7erings and improvements. Market & Competitive Analysis: Stay up-to-date on industry trends, new technologies, and competitor offerings in AI and Machine Learning, Cloud and Networking, to provide strategic insights to sales and product teams. Documentation & Reporting: Create and maintain technical documentation, including solution designs, architecture diagrams, and deployment plans. Track and report on pre-sales activities, including customer interactions, pipeline status, and PoC results. Must have skills: Experience: Minimum of 8-10 years of experience in a pre-sales or technical sales role, with a focus on AI, Cloud and Networking solutions. Technical Expertise: Solid understanding of Cloud computing, Data Center infrastructure, Networking (SDN, SD-WAN, VPNs), and emerging AI/ML technologies. Experience with architecture design and solutioning across these domains, especially in hybrid cloud and multi-cloud environments. Familiarity with tools such as Kubernetes, Docker, TensorFlow, Apache Hadoop, and machine learning frameworks. Sales Collaboration: Ability to work alongside sales teams, providing the technical expertise needed to close complex deals. Experience in delivering customer-focused presentations and demos. Presentation & Communication Skills: Exceptional ability to articulate technical solutions to both technical and non-technical stakeholders. Strong verbal and written communication skills. Customer-Focused Mindset: Excellent customer service skills with a consultative approach to solving customer problems. Ability to understand business challenges and align technical solutions accordingly. Having the mindset to build rapport with customers and become their trusted advisor. Problem-Solving & Creativity: Strong analytical and problem-solving skills, with the ability to design creative, practical solutions that align with customer needs. Certifications: Degree in Computer Science, Engineering, or a related field Cloud and AIL / ML certifications are highly desirable Team Player: Ability to work collaboratively with cross-functional teams including product, engineering, and delivery teams. What separates the best from the rest: Industry Experience: Experience in delivering solutions in industries such as finance, healthcare, or telecommunications is a plus. Technical Expertise in AI/ML: A deeper understanding of AI/ML applications, including natural language processing (NLP), computer vision, predictive analytics, or data science use cases. Experience with DevOps Tools: Familiarity with CI/CD pipelines, infrastructure as code (IaC), and automation tools like Terraform, Ansible, or Jenkins. What can you expect The best remuneration in the industry! Flexible working hours. The ability to design to support mission-critical business and then defend your choices. Heady (but healthy) discussions on technology and its impact on the ever-changing business landscape. Your work in a multi-vendor, multi-cloud environment. A great working environment.

Job Description Day in the life: Incident Monitoring & Response : You will be responsible for continuously monitoring Neysa s AI platforms and infrastructure for any performance issues, system alerts, or service disruptions. Incident Management : Follow established procedures for incident identification, classification, and escalation, ensuring minimal disruption to services in line with SLAs. Troubleshooting & Resolution : When issues arise, you will troubleshoot and resolve problems related to system performance, application failures, and network issues using your Linux expertise. Proactive Monitoring : Stay ahead of potential system issues by proactively tracking the operational status of servers, applications, and networks using monitoring tools like Nagios, Prometheus, or Grafana. Documentation & Reporting : Document incidents, actions, and resolutions in incident management systems. Provide regular reports on recurring issues, root causes, and preventive measures. Collaboration : Work with system administrators, engineers, and developers to resolve issues swiftly, ensuring minimal business impact. Root Cause Analysis & Continuous Improvement : Participate in post-incident reviews to analyze root causes and suggest improvements for future incident management processes. System Maintenance : Conduct regular system checks, patch management, and maintenance to ensure systems are secure and optimized. Must have skills: Experience : 1-5 years of experience in operations or service assurance, focusing on incident management and system monitoring in a Linux environment. Linux Expertise : Solid hands-on experience with Linux operating systems (e.g., CentOS, Ubuntu, RHEL), including system administration, troubleshooting, and performance tuning. Incident Management Knowledge : Understanding of ITIL incident management processes and ability to efficiently handle incidents while maintaining clear communication with stakeholders. Strong Troubleshooting Skills : The ability to diagnose and resolve technical issues quickly, including server failures, network issues, and application-related problems. Experience with Monitoring Tools : Proficiency in using monitoring tools like Nagios, Prometheus, Grafana, or similar to track and manage system health. Effective Communication : Excellent verbal and written communication skills to update both technical and non-technical stakeholders on incident status and resolutions. Team Collaboration : Ability to work effectively within a team, bringing a proactive approach to problem-solving and incident resolution. Technical Aptitude : Basic knowledge of cloud platforms (AWS, Azure, Google Cloud) and networking fundamentals. What separates the best from the rest: Containerized Environments : Experience working with containerized environments like Docker or Kubernetes is a plus. Automation & Scripting : Familiarity with automated scripting for incident resolution and process improvement, using languages like Bash or Python. ITIL Certification : Certification in ITIL or similar incident management qualifications would further enhance your credentials and effectiveness in the role. Advanced Troubleshooting : Experience with advanced troubleshooting in cloud-based or highly complex environments would set you apart from other candidates. Proactive System Improvement : A knack for identifying potential system weaknesses and driving improvements before they impact customer experience would make you stand out as an exceptional candidate. What can you expect The best remuneration in the industry! Flexible working hours. The ability to design to support mission-critical business and then defend your choices. Heady (but healthy) discussions on technology and its impact on the ever-changing business landscape. Your work in a multi-vendor, multi-cloud environment. A great working environment.

Job Description Day in the life: Service Delivery Support : You ll be involved in supporting the delivery of Gen AI cloud infrastructure services, ensuring seamless integration and optimal performance of cloud-based infrastructures. Project Management : You will manage project plans, timelines, and budgets, working closely with backend technical teams to ensure successful execution of cloud infrastructure projects. Cloud Infrastructure Support : Assist in deploying cloud-based AI solutions, utilizing Linux-based tools and technologies to ensure they meet client requirements and business objectives. Communication with Clients : Engage with clients to understand their needs, provide updates on project progress, and address any concerns regarding service delivery status. Cross-Team Collaboration : Collaborate with engineering and operations teams to ensure that service delivery is coordinated and executed smoothly. Documentation : Document all aspects of the project, ensuring that necessary information is properly handed over to the operations team for continued support and management. Process Improvement : Contribute to identifying areas for improvement in service delivery and assist in implementing strategies that optimize client satisfaction and operational efficiency. Must have skills: Experience : 8 years of experience in service delivery management, specifically within the cloud infrastructure industry, with a focus on Linux-based technologies. Educational Background : Bachelor s degree in Computer Science, Engineering, or a related field. Linux Expertise : Strong understanding and hands-on experience with Linux-based tools and technologies. Project Management : Ability to manage project plans, budgets, and timelines effectively while coordinating with technical teams. Communication Skills : Excellent verbal and written communication skills, with the ability to engage with clients and internal teams to provide status updates, resolve issues, and manage expectations. Learning Mindset : Willingness and ability to quickly learn and adapt to new technologies, processes, and customer requirements. Understanding of Cloud Integration : Basic understanding of cloud platforms and how Generative AI solutions integrate within these environments. What separates the best from the rest: Cloud Platforms Expertise : Experience working with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with cloud orchestration tools such as Kubernetes and Terraform. Programming and Scripting : Proficiency in programming and scripting languages (e.g., Python, Go, Bash) for cloud automation, improving service delivery efficiency. AI/ML Deployment : Experience deploying AI/ML solutions within cloud environments, especially related to Generative AI, would significantly enhance your ability to contribute to the team. Advanced Process Improvement : A demonstrated ability to actively participate in or lead service delivery process improvement initiatives, resulting in measurable improvements in operational efficiency and customer satisfaction. What can you expect The best remuneration in the industry! Flexible working hours. The ability to design to support mission-critical business and then defend your choices. Heady (but healthy) discussions on technology and its impact on the ever-changing business landscape. Your work in a multi-vendor, multi-cloud environment. A great working environment.

Job Description Day in the life: In this role, you will be expected to Drive customer engagement and revenue growth across all segments for our AI solution offerings Drive recall of the company in the GPU cloud and other solution offerings and Sell solutions for AI to customers. Develop and maintain strategic relationships throughout the customer lifecycle Work with partners and resellers to build out a go to market and early engagement methodology Collaborate with GSIs, ISVs, and partners to create compelling value propositions Lead engagement with new customers and serve as their primary point of contact Work alongside our outside sales team to facilitate in-person engagements Track opportunities and maintain quality metrics for engagement success Define and track qualitative metrics to ensure quality of engagement. Must have skills: 5+ years of inside sales experience in enterprise technology solutions Tele sales methods: Experience driving engagement with customers in an inside sales model. Experience engaging and maintaining relationships with customer. Experience in Solution Selling and Technology Sales : Must have experience in selling enterprise solutions. Must understand emerging technologies and how they will be adopted by enterprise customers Must understand AI solutions and their use cases Experience in Software and Services: Must have experience in selling software and services. Must have understanding of software licensing methods and services scoping. Proven track record in software and services sales Deep understanding of AI landscape, including: Large Language Models (LLMs) GPU market and AI implementations Enterprise AI use cases and implementation strategies Strong background in cloud computing and virtualization technologies Experience with solution selling and long-term relationship management Demonstrated success in partner/SI engagement What separates the best from the rest: History of successful territory growth and business development Strategic approach to partner ecosystem development Deep understanding of enterprise AI adoption patterns Proven track record of closing complex, high-value deals What can you expect As a start-up intending to provide the best work environment Cutting-edge tools and equipment to excel in your role Flexible work hours and locations Opportunity to shape the future of AI computing Competitive compensation package Dynamic startup environment with industry leaders Diverse, innovative team culture

Job Description Day in the life: In this role, you will be expected to Customer Requirement Alignment : Engage with customers to not only understand their unique needs and expectations, but most importantly offer them the most intuitive and resilient experience in setting up their ML/AI workload and solutions that align with their business objectives. Solution Development : Develop and present customised solutions tools, environment and robust on-demand GPU infrastructure to create and deploy AI use-cases faster than ever. Position our solutions with all AI personas: technical/SW personas (AI/ML Engineer, MLOps , Data Scientist), business decision-makers (CEO, CTO) and IT decision-makers (CIO, VP Infrastructure). Sales Strategy Execution : Implement sales strategies that effectively communicate the value of our customised AI infrastructure and platform solutions, emphasising on-demand access to scale capacity. Client Engagement : Foster relationships with key stakeholders within enterprise accounts to facilitate trust and long-term partnerships. Market Analysis : Analyze market trends and customer feedback to refine product offerings and sales tactics. Collaboration with Technical Teams : Work closely with technical teams to ensure that the proposed solutions are feasible and meet the required specifications. As an Enterprise Sales Specialist, you will be responsible for positioning Neysa s on-demand AI acceleration cloud solutions within large enterprise organizations. You will be the Subject Matter Expert in the areas of AI & Generative AI and have the expertise in AI use cases, outcomes and technology stack (HW, SW) as well as differentiation from Hyperscalers and traditional competitors. You will engage with senior executives and technical decision-makers to understand their needs, craft tailored solutions, and close high-value, complex deals. This role requires deep technical understanding, exceptional communication skills, and a proven track record of selling complex IT infrastructure solutions. Must have skills: Experience : Proven experience in enterprise sales, particularly in technology aspects of hybrid cloud, AI hardware and software. Strong understanding of cloud computing concepts, virtualization technologies, and infrastructure management Sales Skills : Demonstrated ability to close complex deals involving multiple decision-makers. Communication Skills : Excellent interpersonal skills to effectively engage with clients and present solutions. Proficiency in CRM software for managing customer interactions and tracking sales performance. Ability to create compelling presentations that articulate the benefits of proposed solutions. Strong negotiation skills to secure favourable terms for both the company and the client. What separates the best from the rest: Experience working with enterprise-level clients in sectors requiring high-performance computing solutions. Familiarity with emerging technologies in AI, virtualization services and infrastructure management. This role is critical for driving growth within the enterprise segment by ensuring that customer requirements are met through innovative solutioning in a rapidly evolving technological landscape. What can you expect The best remuneration in the industry! Flexible working hours. The ability to design to support mission-critical business and then defend your choices. Heady (but healthy) discussions on technology and its impact on the ever-changing business landscape. Your work in a multi-vendor, multi-cloud environment. A great working environment.

Job Description Roles & Responsibilities: In this role, you will have the responsibility of Planning and Forecasting, Fundraising and Managing Investor Relations. Planning and Re-engineering Annual Planning and Budgeting exercise Forward looking rolling fortnightly / monthly / quarterly outlook Leading Re-engineering opportunities leading to cost saves Reviewing Strategic Investment Committee proposals Investor Community Interactions and Market Analysis Creating Investor materials (Investor Presentation, Financial Analysis and Business Plans) and ongoing interactions with Investor Community across Private and Public Market Investors Regular cadence with Equity Research community Perform detailed analysis for the business internally across key metrics, as well as regular analysis of peers (Global and Domestic) to spot key trends Capital Management & Fundraising Manage the company s capital structure and identify opportunities for optimizing financing. Oversee capital raising efforts, including debt and equity financing, and manage relationships with investors and financial institutions. Evaluate and manage investments and major financial decisions, ensuring alignment with company strategy. Valuation Strong understanding of valuation methodologies, financial modeling, and financial analysis. A commercial outlook and a good understanding of the general business, economic environment, and sound commercial acumen Board Materials Communicating effectively across teams to create materials for board meetings. Will involve interacting with teams across Finance, Business and Operations on an ongoing basis What we need: Qualified MBA/CA with 3 to 5 years post qualification experience. People with Start-ups or industry experience preferred. Strong communication skills (both written and verbal) to interact with both internal and external stakeholders on a regular basis Proficient in Microsoft Excel and PowerPoint Must be data-savvy and be numerate Will be expected to create presentations with tight deadlines Go-getter attitude with a strong work ethic, with willingness to be hands-on as well as a strong ability to work collaboratively with counterparties. Excellent problem-solving, critical thinking skills Ability to work under pressure and deliver tangible business impact in time-critical situations

Job Description Day in the life: In this role, you will be expected to Linux Administration: Install, configure, maintain, and troubleshoot Linux-based servers (RHEL, CentOS, Ubuntu, or others). Manage upgrades, patching, and system performance tuning. Automation & Tools: Develop and maintain automation scripts/tools using Bash, Python Implement and manage tools like Ansible, Foreman, MAAS, Puppet, Chef, SaltStack, or Terraform for infrastructure as code (IaC). Monitoring & Performance Optimization: Deploy and configure monitoring tools like Nagios, Zabbix, Prometheus, or Grafana. Analyze and resolve performance bottlenecks in Linux systems and applications. Security & Compliance: Enforce security best practices, including vulnerability assessment and remediation. Manage firewalls, SELinux, and access control for secure environments. Cloud & Virtualization: Work with virtualization platforms (VMware, KVM) and container orchestration tools (Docker, Kubernetes). Manage hybrid or cloud-based infrastructure using AWS, Azure, or Google Cloud. Implement and Manage end-to-end Cloud Orchestration Collaboration & Leadership: Collaborate with cross-functional teams, including DevOps and software engineering, to ensure seamless integration of applications. Provide mentorship and training to junior Linux administrators. Documentation & Reporting: Maintain detailed documentation for systems, procedures, and configurations. Generate reports on system performance, security, and availability metrics. Must have skills: On day one, you will need to be proficient with Expert knowledge of Linux operating systems (RHEL, CentOS, Ubuntu). Proficiency in scripting languages (Bash, Python, Perl). Strong understanding of networking (TCP/IP, DNS, DHCP, firewalls). Experience with automation tools (Ansible, Puppet, Chef, Terraform). Experience with Monitoring tools (Grafana, Prometheus, Zabbix, Nagios, Telegraf) Familiarity with CI/CD pipelines and tools (Jenkins, GitLab CI/CD) What separates the best from the rest: Added bonuses if you have experience with Preferred Experience: Hands-on experience with container technologies (Docker, Kubernetes). Knowledge of database administration (MySQL, PostgreSQL). Familiarity with agile methodologies and DevOps practices. Prior experience in a leadership or mentoring role. Soft Skills: Strong communication and collaboration skills to guide less experienced users and developers. Ability to balance user needs with system stability in a high-demand, resource-intensive environment. Analytical mindset to foresee and mitigate system-wide impacts of configuration changes. Work with users : All users are not created equal, and often they may lack ( or may not be interested in) understanding of how their actions can affect system performance. Your attitude in dealing with ( often frustrating, to you) would be critical in maintaining a good working order. What can you expect As a start-up intending to provide the best work environment Work on best HPC infrastructure that challenges the limits of technology. Enjoy flexibility in work hours and location while contributing to groundbreaking projects. Collaborate with a highly experienced team in a supportive, knowledge-sharing environment. Shape the future of computing while achieving personal and professional growth.