Senior Account Executive, AI Infrastructure
New
M
MirantisAI infrastructure
Remote (EMEA). Source API remote eligibility restrictions: Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Benin, Bosnia and Herzegovina, Botswana, Bouvet Island, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Finland, France, French Guiana, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hungary, Iceland, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Jersey, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Mali, Malta, Martinique, Mauritania, Mauritius, Mayotte, Moldova, Monaco, Montenegro, Morocco, Mozambique, Namibia, Netherlands, Niger, Nigeria, North Macedonia, Norway, Oman, Palestine, State of, Poland, Portugal, Qatar, Romania, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Sint Maarten (Dutch part), Slovakia, Slovenia, Somalia, South Africa, South Sudan, Spain, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Togo, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uzbekistan, Western Sahara, Yemen, Zambia, Zimbabwe, Åland IslandsFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years of closing experience in Sales
- Required Skills
- Kubernetes
Requirements
- Bring 6+ years of sales closing experience and a track record as a top performer.
- Have experience selling technical SaaS and cloud-based software solutions, particularly infrastructure management solutions such as OpenStack, VMware, and Kubernetes.
- Be able to learn, pitch, and demonstrate a highly technical product.
- Have experience building relationships with and selling face-to-face to C-level executives.
- Demonstrate examples of closing complex deals and selling into complex organizations.
- Use repeatable methods to identify and pursue greenfield opportunities.
- Address technical objections and collaborate with internal teams on customer-focused sales strategies.
- Preferred: hold a bachelor's or master's degree in computer science, engineering, or a related technical field.
- Preferred: have experience selling AWS, Microsoft Azure, Google Cloud Platform, VMware, Red Hat, Rancher, Rafay, or SpectroCloud.
- Preferred: have experience selling AI infrastructure products for training, tuning, or inference.
- Preferred: have experience with enterprise-grade security, compliance, and regulatory frameworks.
- Preferred: be able to manage complex projects across teams and stakeholders in global, remote, and hybrid environments.
Responsibilities
- Develop and execute a strategic sales plan for the assigned territory, targeting high-potential accounts and growing pipeline and revenue.
- Pursue opportunities in the AI infrastructure market and help customers optimize GPU investments.
- Engage customers to understand AI/ML requirements and relay insights to influence the product roadmap.
- Advise customers and partners on AI infrastructure solutions.
- Conduct discovery sessions to uncover business challenges and design tailored AI infrastructure architectures.
- Manage sales cycles from initial engagement through negotiation and closure.
- Draft Statements of Work for AI infrastructure deployments.
- Lead negotiations of commercial terms and contractual agreements with key decision-makers.
- Collaborate with Sales Engineering and internal teams to develop business cases and address customer challenges.
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