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Data Storage Sales Jobs (NOW HIRING)

As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to ... Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ...

As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to ... Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ...

As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to ... Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ...

$150K - $210K/yr

... data storage solutions to large organizations and managing complex sales cycles. • Strong existing relationships within the assigned territory and the ability to leverage an established ...

$150K - $210K/yr

... data storage solutions to large organizations and managing complex sales cycles. • Strong existing relationships within the assigned territory and the ability to leverage an established ...

CA · On-site

... data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader ... Partner with sales leadership to improve forecast accuracy, pipeline hygiene, and deal inspection

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Data Storage Sales information

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How much do data storage sales jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data storage sales in the United States is $37.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $40.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Storage Sales position, and why are they important?

Success in Data Storage Sales requires a background in technology sales, strong understanding of data storage solutions, and typically a bachelor's degree in business, IT, or a related field. Familiarity with storage platforms (like SAN, NAS, or cloud storage), CRM tools, and certifications from vendors such as Dell EMC or NetApp can be highly beneficial. Excellent communication, relationship-building, and negotiation skills help professionals excel in client interactions and teamwork. These competencies are critical for identifying client needs, crafting tailored storage solutions, and achieving sales targets in a competitive technology market.

What are the typical daily responsibilities for someone in a Data Storage Sales role?

In a Data Storage Sales role, your day usually involves researching prospective clients, conducting product presentations or demos, and understanding customer requirements to recommend the most suitable storage solutions. You’ll collaborate closely with technical engineers to address complex client questions and gather insights from both sales and product teams. Building and maintaining relationships through regular follow-ups, negotiating contracts, and meeting sales targets are also key components of the job. Over time, you may have the opportunity to manage larger accounts or advance into sales management based on your performance and results.

What is a Data Storage Sales job?

A Data Storage Sales job involves selling data storage solutions, such as cloud storage, enterprise storage systems, and backup services, to businesses. Professionals in this role identify customer needs, recommend suitable storage solutions, and negotiate contracts. They work closely with IT teams and decision-makers to ensure efficient data management. Strong technical knowledge, communication skills, and an understanding of industry trends are essential for success in this role.

More about Data Storage Sales jobs
What are the most commonly searched types of Data Storage Sales jobs? The most popular types of Data Storage Sales jobs are:
What states have the most Data Storage Sales jobs? States with the most job openings for Data Storage Sales jobs include:
What job categories do people searching Data Storage Sales jobs look for? The top searched job categories for Data Storage Sales jobs are:
Infographic showing various Data Storage Sales job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,857 per year, or $37.4 per hour.

Advisory Sales Engineer - Strategic AI

Data Direct Networks

TX • Remote

Full-time

Posted 16 days ago


Job description

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.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC 

 

“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. 


As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems.

You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle.

What You'll Do

Customer Engagement

  • Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
  • Translate technical requirements into elegant, scalable storage solutions that exceed expectations
  • Act as trusted technical advisor throughout the sales cycle

Solution Design

  • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
  • Design for reliability, resilience, security, and scale—balancing performance with data protection
  • Create BOMs, system architectures, and technical proposals for complex RFPs
  • Conduct live demos, POCs, and performance benchmarking
  • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks

Innovation & Growth

  • Stay current on AI infrastructure and storage technology trends
  • Collaborate with Product and Engineering teams using field insights
  • Mentor team members and contribute to technical thought leadership
  • Shape product direction based on customer needs

What You Bring

Technical Foundation (All Levels)

  • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems
  • Knowledge of architectural patterns for reliability, resilience, security, and scale
  • Understanding of storage and data protocols: S3, POSIX, NFS, SMB
  • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
  • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
  • Aptitude for AI workloads and how storage enables AI innovation
  • Ability to communicate technical concepts to both engineers and executives

Entry Level (0-3 years)

  • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
  • Exposure to storage/systems through coursework, internships, or projects
  • Strong analytical and problem-solving skills
  • Customer-facing communication skills

Experienced (3+ years)

  • 3-8+ years in pre-sales, solutions architecture, or technical consulting
  • Proven track record designing storage/infrastructure solutions
  • Hands-on experience with enterprise storage systems
  • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
  • Success managing complex technical sales cycles

What Sets You Apart

  • Genuine curiosity about AI and its impact across industries
  • Ownership mindset—you solve problems until they're solved
  • Ability to translate technical complexity into business value
  • Thrive in fast-evolving technology environments
  • Collaborative team player with integrity and empathy

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities: 

Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. 

Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable. 

Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful. 

Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

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