DDN

• 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 • 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 • Stay current on AI infrastructure and storage technology trends

• Develop value assessment methodologies for enterprise and AI infrastructure opportunities. • Create ROI, TCO, business case, and financial impact analyses. • Partner with Sales teams on strategic customer pursuits. • Conduct executive-level workshops focused on business outcomes. • Develop customer-specific value models and transformation roadmaps. • Create industry benchmarks and competitive economic analyses. • Support account planning and large deal strategies. • Build repeatable value engineering tools and frameworks.

• Lead Sales Operations for the Americas region • Drive operational excellence across forecasting, pipeline management, sales process execution, territory management, reporting, and GTM productivity • Partner with sales leadership to improve forecast accuracy, pipeline hygiene, and deal inspection • Analyze pipeline health, coverage, conversion, and risk trends • Build executive-level reporting and operational insights for leadership reviews • Improve and scale sales processes across opportunity management, account planning, and territory execution • Ensure Salesforce data quality, stage hygiene, and operational consistency • Identify operational bottlenecks and implement scalable solutions • Develop dashboards, KPIs, and reporting frameworks that drive actionable decisions • Support territory planning, account segmentation, and account ownership governance

• Own and orchestrate the annual and quarterly strategic planning cycle for the Product and R&D organization, including goal-setting (OKRs/MBOs), investment prioritization, and portfolio review. • Partner with CPO, VP Product, VP Engineering, and Finance to develop multi-year product investment strategies and resource allocation frameworks. • Translate business strategy into actionable operating plans; maintain a live view of strategic commitments, resource coverage, and trade-offs. • Identify, scope, and personally drive high-priority cross-functional initiatives that cut across Product, Engineering, Finance, Sales, and Customer Success. • Enhance product operations function: product launch readiness, go-to-market coordination, release management, and feedback loop integration. • Communicate program status, strategic progress, and operational health clearly to C-level executives and board stakeholders.

• Own and drive revenue growth within assigned Higher Education accounts and territory • Develop and execute strategic account plans targeting Higher Education customers • Identify, qualify, and close new business opportunities aligned with DDN’s AI and data platform solutions • Build strong relationships with key stakeholders including CIOs, CTOs, data leaders, and engineering teams • Partner with pre-sales engineers and solution architects to deliver tailored solutions that address customer challenges • Lead complex sales cycles from prospecting through negotiation and close • Collaborate cross-functionally with marketing, product, and customer success teams to ensure successful customer outcomes • Maintain accurate pipeline management and forecasting within CRM systems

• Architect high-performance storage solutions for various industries • Partner with customers to understand their critical data challenges • Design storage for AI/ML training and data analytics • Conduct live demos, POCs, and performance benchmarking

• Act as the primary escalation point from Support to Engineering when customer issues cannot be resolved at lower support levels. • Perform deep technical analysis to identify root causes and provide timely, effective solutions whenever possible without engaging development teams. • Collaborate closely with Engineering when product defects or architectural changes are required, ensuring clear and actionable problem statements. • Maintain strong hands-on familiarity with VMstore products, architecture, and deployment models, and understand their role within customer data centers. • Diagnose complex issues involving storage, compute, networking, and virtualization layers. • Support and troubleshoot enterprise data center technologies with strict requirements for high availability, reliability, performance, and scalability. • Demonstrate strong familiarity with virtualization platforms, especially VMware, Platform9, and Hyper‑V. • Understand strengths, weaknesses, and trade-offs of different cloud technologies and hybrid deployment models. • Act as a strong advocate for customer needs within the organization, ensuring customer-impacting issues receive appropriate visibility and prioritization. • Maintain a high level of professionalism and clear communication in all customer interactions, particularly under high-stress escalation scenarios. • Provide clear guidance, workarounds, and best practices to customers and internal teams. • Apply strong Linux system familiarity to troubleshoot and resolve complex product and customer environment issues.

• Own and grow enterprise accounts within your territory • Create and convert net-new business opportunities • Lead complex, multi-stakeholder enterprise sales cycles from prospecting through close • Build relationships with executive buyers and technical influencers • Partner closely with technical teams to shape compelling AI and data infrastructure solutions

• Drive new logo and expansion revenue across an FSI territory through existing relationships, proactive prospecting, and partner leverage. • Build and maintain a disciplined pipeline in Salesforce; forecast accurately and meet quarterly revenue commitments. • Establish and deepen executive-level relationships (CTO, VP Infrastructure, Head of Quant/AI/ML) with a focus on business outcomes — GPU ROI, data pipeline efficiency, and infrastructure TCO. • Lead complex, team-selling efforts with Solutions Engineers, DDN leadership, and channel/OEM partners to win competitive evaluations. • Qualify opportunities rigorously using a structured framework (MEDDIC); invest deepest where Economic Buyers, clear pain, and Champions are in place. • Respond to RFPs and customer proposals with compelling, outcome-driven narratives — clearly articulating DDN's throughput benchmarks, TCO advantages, and NVIDIA partnership credentials. • Drive a territory strategy aligned to DDN's brand and go-to-market priorities; coordinate partner enablement and joint pipeline development. • Manage post-sale relationships with a strategy to capture repeat business, reference customers, and case study opportunities. • Represent DDN at industry events, FSI conferences, and trade shows to raise brand presence and develop pipeline.

• Maintain, extend, and improve our FUSE module, and upstream changes as approporiate. • Design and develop in C/C++ under tight deadlines with minimal supervision • Define and articulate technical designs with the appropriate details • Full application development from design to development to testing to deployment • Participate in technical reviews throughout the course of development • Architecture and troubleshooting of system level components, especially the file system and related storage system components. • Undertake research based technical tasks: Define research approach, document results and Derive conclusions. Should be able to design a solution based on the research conducted • Mentor junior developers • Support product deployment and production defect resolution in a timely manner