growthroles

Senior Sales Engineer

DDN ddn.com Open · verified Sep 22, 2026
Remote New Delhi Full-time Senior Solutions & Sales Engineering

At a glance

Senior Solutions & Sales Engineering role at DDN. Remote, India · full-time.

Pay not stated

RoleSolutions & Sales Engineering
SenioritySenior
LocationNew Delhi
WorkplaceRemote
EmploymentFull-time
PostedAug 20, 2026 · 4w ago
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Work with customers on data challenges in trading, genomics, AI training, and autonomous vehicle sensor fusion
  • Turn technical needs into scalable storage designs for AI/ML, HPC, analytics, and GPU workloads
  • Build bills of materials, architectures, and proposals for complex requests for proposals
  • Run demonstrations, proof-of-concepts, and performance tests, including integrations with Kubernetes and cloud platforms
  • Guide technical sales conversations while sharing customer insights with Product and Engineering

What you bring

  • At least three years in pre-sales, solutions architecture, or technical consulting
  • A record of designing storage or infrastructure solutions with enterprise storage systems
  • Working knowledge of SAN, NAS, object storage, parallel file systems, and protocols including S3, POSIX, NFS, and SMB
  • Familiarity with TCP/IP, InfiniBand, RDMA, and storage architectures built for reliability, security, resilience, and scale
  • You can explain technical subjects clearly to engineers and executives

Who this fits

You’ll suit a senior customer-facing technologist who can design storage for AI, HPC, and other high-performance workloads. The role fits someone comfortable managing complex technical sales cycles, translating engineering detail into business value, and collaborating with Product and Engineering. It is a remote full-time role based in New Delhi, India.

From the employer

DDN Storage is seeking great candidates to join our dynamic team of passionate customer-enabling technologists!

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. DDN Storage 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 Storage is the global leader in AI and multi-cloud data management at scale. Our cutting-edge storage and data management solutions are 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 Storage 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 Summary

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


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.

Not this one either?

Claude or ChatGPT reads the other 88,355 for you.

Get better matches →

Same team as Marketing Monk

What's happening in AI marketing. Daily.

Biggest story, quick hits, a prompt, one action.

7 minutes. 71,000 readers. Unsubscribe anytime.