Overview:
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world’s most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

“THE REAL DIFFERENTIATOR IS DDN. I NEVER HESITATE TO RECOMMEND DDN. DDN IS THE DE FACTO NAME FOR AI STORAGE IN HIGH PERFORMANCE ENVIRONMENTS” - MARC HAMILTON, VP, SOLUTIONS ARCHITECTURE & ENGINEERING | NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
Job Description:
The Sr. Solutions Consultant (Sales Engineering) at DataDirect Networks (DDN) is a hyperscaler-focused technical expert responsible for driving AI, ML, and HPC adoption within large-scale cloud environments. This role is crucial in aligning DDN’s cutting-edge AI solutions with hyperscaler architectures, optimizing storage, compute, and networking to accelerate AI workloads at massive scale. The ideal candidate will bring deep pre-sales engineering experience, expertise in hyperscaler AI/Cloud infrastructure, and a passion for delivering solutions that drive efficiency, performance, and cost optimization for Cloud Service Providers (CSPs), hyperscalers, and enterprise AI deployments.

REQUIRED QUALIFICATIONS

• 5+ years of experience in AI/ML infrastructure, cloud engineering, or AI consulting, with a focus on hyperscaler AI environments.
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• Deep expertise in hyperscaler AI/ML platforms such as AWS (SageMaker, EC2 UltraClusters), Azure (AI Studio, Synapse AI), GCP (Vertex AI, TPU Pods), and hyperscaler-native storage architectures.

• Understanding of large-scale AI training, inference, and data processing architectures in hyperscaler-hosted GPU clusters (NVIDIA H100/A100, TPU, Habana Gaudi, AMD MI300, etc.).
• Experience working with CSPs, hyperscaler alliances, and co-selling motions with AWS, Azure, and Google Cloud.
• Strong understanding of AI storage and compute efficiency, including parallel file systems, object storage (S3, Azure Blob, GCS), and data pipelines for AI workloads.
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• Hands-on experience with AI frameworks like TensorFlow, PyTorch, NVIDIA AI Enterprise, NeMO, RAG, LLMOps, and other hyperscaler-integrated AI tools.

• Strong customer-facing experience, with the ability to communicate technical concepts to hyperscaler customers, CSP architects, and AI research teams.

PREFERRED QUALIFICATIONS

• Experience in AI-focused sales engineering or consulting within hyperscaler environments.
• Cloud certifications (AWS, Azure, Google Cloud AI/ML, NVIDIA AI, etc.).
• Experience with co-selling and joint GTM strategies with hyperscaler AI teams and partners.
• Background in data center efficiency, AI model tuning, and GPU performance optimization at scale.

CORE RESPONSIBILITIES:

• Hyperscaler AI Expertise: Demonstrate deep technical knowledge of AI and ML workflows within hyperscaler environments (AWS, Azure, GCP, Oracle Cloud, etc.), including architecture, deployment models, and optimization strategies for large-scale AI/ML operations.
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• Cloud & Edge AI Solutions: Design and implement AI-driven storage and compute solutions that support hyperscaler AI/ML training, inference, and data analytics pipelines.

• Optimization & Performance: Drive discussions on GPU utilization, cloud storage performance, scalability, cost efficiency, and AI workload acceleration across hyperscaler platforms.
• Strategic Partnering: Collaborate with hyperscaler ecosystem partners, OEMs, ISVs, and cloud-native AI frameworks to develop joint GTM strategies and solution offerings.
• Technical Pre-Sales & Evangelism: Act as a trusted advisor for AI teams, demonstrating how DDN solutions integrate with hyperscaler-native AI tools like SageMaker, Vertex AI, Azure ML, and other cloud AI platforms.
• AI Storage & Data Management: Guide customers in selecting optimal storage architectures, including parallel file systems, object storage, and tiered AI data strategies for hyperscaler-hosted AI models.
• Enterprise AI & Cloud GTM: Drive AI adoption across large enterprises leveraging hyperscaler AI services, including co-sell and marketplace engagements.
• Outcome-Driven Consulting: Partner with customers to align DDN solutions with their business outcomes, focusing on latency reduction, GPU acceleration, energy efficiency, and cost optimization in AI workflows.

PRIMARY RESPONSIBILITIES

• Outcome-Driven: Leverage experience in AI, Data & Analytics to engage deeply with clients, understanding their challenges and delivering value-driven solutions.
• Data Architecture Proficiency: Design scalable solutions and implement strategies for effective data models and management to support AI/ML workflows.
• Generative AI Enablement: Apply knowledge & expertise in AI technologies, including Large Language Models (LLMs), neural networks, RAG, Inference, and recommendation systems, to drive innovation and client success.
• Technical Solution Design: Utilize frameworks like NeMO, NIMs, TensorFlow, PyTorch, and Nvidia Enterprise Suite to craft and demonstrate DDNs advanced AI solutions tailored to client needs.
• Cross-Functional Collaboration: You are a partner with between Sales, Product, Marketing and Engineering teams, ensuring customer insights inform messaging, collateral, product development, support/services and technical strategies.
• Partner Ecosystem Development: Build and maintain relationships across our ecosystem of Alliances, OEMs, CSPs, hyper-scalers, channel and integrators to create joint go-to-market strategies and expand DDN’s market reach.
• Enablement and Training: Deliver technical development for internal teams and partners, ensuring a deep understanding of DDN’s AI solutions.
• Market Awareness: Stay abreast of trends in AI, data management, and competitive landscapes to position DDN’s solutions effectively.