AI Solution Manager

Overview

On Site
USD 135,000.00 - 150,000.00 per year
Full Time

Skills

Storage
Computer Networking
Apache Hadoop
Big Data
HPC
Embedded Systems
FOCUS
Computer Hardware
GPU
Market Development
Leadership
Management
Competitive Intelligence
Collaboration
Product Management
Marketing
Google Tag Manager (GTM)
Cloud Computing
Sales Enablement
Go-To-Market Strategy
Generative Artificial Intelligence (AI)
Use Cases
Stacks Blockchain
Servers
SAN
IaaS
Communication
Computer Science
Computer Engineering
Optimization
Performance Tuning
Docker
Orchestration
Kubernetes
PyTorch
TensorFlow
LangChain
Database
Machine Learning (ML)
IoT
Artificial Intelligence
Sales
Training
Forms

Job Details

Job Req ID: 27792

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 is seeking a highly motivated and experienced Solution Manager to drive sales and adoption of AI Software, and partner AI solutions integrated with Supermicro hardware platforms. This role will focus on accelerating enterprise AI adoption, training sales teams, and driving software attach as part of Supermicro's Total AI Solutions strategy. The Specialist will act as a trusted advisor to enterprise customers and partners, promoting AI factory solutions, building enablement programs, and ensuring Supermicro is positioned as a leader in the rapidly growing AI and Inferencing market.

Essential Duties and Responsibilities:

Includes the following essential duties and responsibilities (other duties may also be assigned):
Enterprise AI Sales Enablement - Partner with Sales teams to identify, influence, and accelerate closure of AI software opportunities through enablement and strategic engagement.
Software + Hardware Attach Strategy - Drive alignment and co-sell motions that promote the attach of AI software and ecosystem partner solutions with Supermicro GPU-optimized systems.
Deal Acceleration - Coordinate with Supermicro Sales teams and AI Software Partners to advance deal progression, technical validation (POCs), and seamless solution execution.
Sales Empowerment - Develop and deliver enablement content, training, and demos that equip Sales and Partners to position AI and Inferencing solutions effectively.
Market Development Leadership - Initiate and manage joint marketing activities, campaigns, and events with AI software partners to create demand and expand pipeline.
Sales Intelligence & Insights - Gather and synthesize competitive intelligence, customer feedback, and field trends to inform product and GTM strategies.
Cross-Functional Collaboration - Work across Sales, Product Management, Systems, and Marketing teams to ensure GTM alignment, solution readiness, and campaign execution.
Customer Evangelism - Serve as a trusted AI advisor, helping enterprises adopt AI accelerators, hybrid cloud strategies, and Inferencing AI deployments aligned to best

Qualifications:
5+ years of experience in sales enablement, pre-sales consulting, or technical go-to-market roles supporting enterprise customers in developing and closing large AI initiatives.
Demonstrated success in enabling or accelerating adoption of AI and Inferencing AI solutions within enterprise accounts.
Understanding of Generative AI, RAG, Agentic AI, and Inferencing AI solution architectures and customer use cases.
Familiarity with AI software stacks, GPUs, and ecosystem partner integrations.
Basic understanding of enterprise AI workloads, including LLMs, inference, RAG pipelines, model training, and hybrid deployments.
Technical understanding of servers, storage, networking, and cloud infrastructure, enabling positioning of end-to-end AI solutions alongside Sales teams.
Proven ability to develop and deliver enablement programs, content, and training to equip sales teams and partners.
Strong communication skills and executive presence, with experience influencing and advising C-level stakeholders.

Preferred Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or related field.
Experience with Inferencing AI scaling and optimization, including latency, throughput, and cost-performance tuning.
Experience with containerization (Docker) and orchestration (Kubernetes, Run.ai, Mission Control).
Basic understanding with AI frameworks (PyTorch, TensorFlow, LangChain) and deployment environments (Hugging Face, RAG pipelines).
Familiar with databases and vector stores (e.g. Chroma, VAST, Milvus).
Pre-sales consulting experience with AI/ML and inferencing solutions.
Edge or IoT AI pre-sales consulting experience is a plus.

Salary Range

$135,000 - $150,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.