Consultant

*Job Req ID: 27634
About Supermicro*
Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary
Supermicro Computer is looking for an experienced Business Development Manager who can help grow our market share. The ideal candidate must be able to step in and sell Supermicro's product portfolio into targeted vertical markets, build and manage individual resources and thrive in a challenging environment.

Essential Duties And Responsibilities
Includes the following essential duties and responsibilities (other duties may also be assigned):

• Strategic Planning and Market Analysis:
• Define and implement growth strategies: Develop a clear plan for expanding the company's presence in the AI and data center markets. This involves setting business objectives and budget targets.
• Business Development and Sales:
• Identify and secure new clients: Act as a "hunter" to find new business opportunities and acquire high-profile clients, particularly in sectors with high-performance computing needs (e.g., AI tech firms, enterprises, cloud providers, and hyperscale/colocation data centers).
• Build and maintain relationships: Establish and nurture relationships with key decision-makers and stakeholders in the industry, such as engineering firms, consultants, and data center operators.
• Negotiate and close deals: Lead commercial negotiations, draft proposals, and close sales that meet revenue and profit objectives. This often involves a deep understanding of sales processes and negotiation tactics.
• Pipeline management: Build and manage a pipeline of new project opportunities, working closely with technical sales and engineering teams to develop winning sales strategies.
• Technical Understanding and Collaboration:
• Serve as a subject matter expert: Become an expert in data center architecture, applications, and technology, including the impact of AI and high-density computing.
• Collaborate with internal teams: Work closely with various departments, including product management, engineering, marketing, and legal, to ensure that the product roadmap, messaging, pricing, and go-to-market plans are aligned with customer needs.
• Translate technical requirements: Be able to translate complex technical requirements into compelling value propositions for both technical and non-technical audiences, from engineering teams to C-suite executives.
• Leadership and Team Management:
• Lead and influence: Drive results by leading and influencing different functions across the organization.
• Team building: In some senior roles, the professional may be responsible for building and leading a team of application engineers to support growth.
• Financial and Performance Management:
• Revenue and profitability growth: Drive top-line revenue and bottom-line profitability through strategic sales initiatives, pricing strategies, and margin optimization.
• Performance reporting: Prepare and present regular reports detailing business development activities, revenue forecasts, and progress against key performance metrics.
• transition and adoption of new technologies.

Qualifications

• Education and Technical Knowledge

A solid academic foundation is essential. Most consultants have a bachelor's or master's degree in a STEM field such as:

• Computer Science
• Data Science
• Engineering (e.g., Electrical or Mechanical Engineering)
• Information Technology

Beyond a degree, a deep understanding of the following is critical:

• Artificial Intelligence and Machine Learning: You need to be an expert in AI concepts, including machine learning models, deep learning, natural language processing (NLP), and computer vision.
• Data Center Infrastructure: This includes knowledge of physical and virtual infrastructure, such as servers, networking equipment, storage systems, and power and cooling solutions.
• Programming: Proficiency in languages like Python and Java is crucial for developing and implementing AI models.
• Cloud Computing: Familiarity with major cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure is a must, as many AI workloads are cloud-based.
• Data Management: You should have a strong grasp of data preparation, data governance, and database technologies, including both SQL and NoSQL databases.
• Experience and Certifications

Hands-on experience is arguably the most valuable qualification. Many aspiring consultants start in roles like data scientists, AI developers, or data center engineers before transitioning into consulting.

• Practical Experience: Work on diverse AI projects to build a portfolio. This could include developing recommendation systems, predictive models, or automation tools.
• Industry Certifications: Certifications can validate your skills and boost your credibility with clients. Relevant certifications include:
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• IBM AI Developer Professional Certificate
• Certified Artificial Intelligence Consultant (CAIC)
• Certifications from companies like Cisco or CompTIA for data center networking and infrastructure.
• Soft Skills
• Technical prowess alone isn't enough; you also need strong business and interpersonal skills to succeed as a consultant.
• Communication: You must be able to translate complex technical concepts into clear, concise business strategies for non-technical stakeholders.
• Problem-Solving: A consultant's job is to analyze complex business problems and devise innovative, long-term AI solutions.
• Analytical Skills: You need to be able to assess a client's current operations, identify inefficiencies, and determine the feasibility and potential return on investment (ROI) of AI adoption.
• Project Management: The ability to manage projects from initial strategy and scoping to implementation and deployment is essential.
• Adaptability: The AI landscape is constantly evolving, so continuous learning and a willingness to adapt to new technologies and trends are crucial.

*EEO Statement*
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.