D

DataDirect Networks

High-performance storage for unstructured data

Senior Analyst/Manager - Product Finance

Full-TimeUpdated on 10/28/2026
$130k - $190k/yr
Mid, Senior
Bachelor's
New York, NY, USA
Hybrid
Finance & BankingCorporate Finance & FP&A

About the job

Requirements
  • A bachelor's degree in Finance, Accounting, Economics, or a related quantitative field is required.
  • At least 4 years of experience in FP&A, strategic finance, investment banking, or management consulting is required.
  • Proficiency in financial modeling, executive-ready presentations, and business partnership with technical stakeholders is required.
  • Interest in AI tools and willingness to incorporate them into daily work is required.
Responsibilities
  • Serve as an embedded finance partner to Engineering and Product leadership, building trusted relationships to influence resource allocation and roadmap decisions.
  • Own end-to-end R&D financial planning, including budgeting, forecasting, long-range planning, and variance analysis with clear narratives for headcount, non-payroll, and infrastructure spend.
  • Partner with R&D to define efficiency metrics, identify cost optimization opportunities, and manage cloud and on-premises infrastructure costs.
  • Develop and manage KPI reporting aligned with business unit and company objectives.
  • Develop a clear understanding of the product portfolio's current and future state, including drivers, trends, and use cases, and provide input on business decisions.
  • Support redesign of pricing, packaging, and deal structures as the business and product evolve.
Desired Qualifications
  • Experience at a high-growth or pre-IPO company is a plus.
  • Experience with SQL and business intelligence tools, planning tools such as Pigment or Adaptive, and ERP systems such as Workday is a plus.

About the company

D

DataDirect Networks

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Website

DataDirect Networks provides high-performance data storage systems and software for data-intensive environments, including HPC and AI workloads. Its products combine hardware and software, such as A³I for accelerated AI workloads, EXAScaler parallel file system, IntelliFlash, and Infinia for fast inference, to manage the data lifecycle from storage to analytics. DDN differentiates itself through a strong focus on HPC/AI storage, NVIDIA collaboration, and a history of strategic acquisitions that broaden its software-defined storage and file-system capabilities. Its goal is to help organizations scale big data and AI workloads efficiently across enterprises, government, academia, and cloud providers, backed by partnerships and growth funding.

Company Size

1,001-5,000

Company Stage

Growth Equity (Venture Capital)

Total Funding

$309.9M

Headquarters

Los Angeles, California

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • DDN launched Infinia 2.4 on July 7, 2026, adding multi-tenancy and POSIX support.
  • SCX.ai partnered with DDN on August 24, 2026 to power Australia’s sovereign inference cloud.
  • DDN keeps landing ecosystem wins with DapuStor, Supermicro, and Solidigm at Tech Week Singapore 2026.

What critics are saying

  • DDN depends on NVIDIA’s roadmap; any platform shift can commoditize Infinia by 2027.
  • Blackstone’s $5 billion valuation pressures DDN to sustain explosive growth or face harsh repricing.
  • Supermicro, Zadara, and SCX.ai can displace DDN if bundled storage wins AI factory deals.

What makes DataDirect Networks unique

  • DDN’s Infinia and EXAScaler keep GPUs fed across training, inference, and sovereign deployments.
  • DDN’s August 2026 NVIDIA Storage-Next collaboration strengthens its technical moat and ecosystem relevance.
  • DDN sells turnkey, on-prem, multi-tenant AI factories for regulated customers needing data residency.

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Benefits

  • Remote Work Options
  • Flexible Work Hours

Growth & Insights and Company News

6 month growth

0%

1 year growth

4%

2 year growth

6%
PR Newswire
Oct 22nd, 2026
Arcitecta to showcase digital asset management system and bring together research community at eResearch Australasia.

Arcitecta to showcase digital asset management system and bring together research community at eResearch Australasia. Oct 22, 2026, 15:00 ET Arcitecta to demonstrate its Mediaflux DAMS digital asset management system for the research industry at eResearch Australasia, October 26-30, 2026, in Melbourne, Australia. MELBOURNE, Australia and BOULDER, Colo., Oct. 22, 2026 /PRNewswire-PRWeb/ - Arcitecta, a creative and innovative data management software company, today announced it will demonstrate its Mediaflux(R) DAMS digital asset management system for the research industry at eResearch Australasia, October 26-30, 2026, in Melbourne, Australia at Booth 04-CE. Arcitecta will be co-located with its strategic partners Spectra Logic and DDN, showcasing world-class research data management architectures. Mediaflux DAMS is a powerful digital asset management solution designed for institutions managing complex, large-scale datasets and high-throughput data workflows. It provides an intuitive, fully customizable interface for storing, describing and accessing digital assets at scale, powered by extensible and actionable metadata. Arcitecta will also showcase Mediaflux(R) Connect 365, an active data management solution for universities facing the Microsoft 365 Education storage policy changes. Built on the Arcitecta Mediaflux platform, it provides a single system for managing, cataloging and governing billions of files and petabytes of data of any type across any storage mix. Research Data Management (RDM) Community of Practice Workshop On Friday, October 30, 2026, Arcitecta is hosting an event for the Australian RDM community at the University of Melbourne. Rising storage costs and increasingly complex, petabyte-scale research environments are driving the need for more effective data management strategies. The event will provide a forum for RDM professionals and technology designers to exchange knowledge, share best practices and explore collaborative approaches to managing research data at scale. Presentations will encapsulate the University of Melbourne Research Computing Services' lessons learned from institutional research data management transformation and recent large-scale data migration and the University of New South Wales' RDM architecture overhaul and roadmap. Extended conversations and Q&A sessions will also delve into the TigerData RDM undertaking at Princeton University and the fundamental question of how to measure data. The Mediaflux user group session will follow the Community of Practice conversations, further strengthening community connections and fostering ongoing collaboration around the challenges and opportunities of research data management. If you are interested in participating in these events or meeting with Arcitecta at the show, email [email protected]. About Arcitecta Arcitecta has been building the industry's best data management platforms since the dawn of the data age. Today, Arcitecta is transforming data management and backup with Mediaflux, a rich end-to-end data fabric that simplifies data-intensive workflows in petabyte-scale environments to improve business and research outcomes. Mediaflux unifies data management processes into a single platform, simplifying the administration of massive data sets and allowing world leaders to solve some of the most challenging problems on the planet. For more, visit www.arcitecta.com. Arcitecta, Mediaflux and the Arcitecta logo are trademarks of Arcitecta IP Pty. Ltd. All other trademarks used herein are the property of their respective owners. Media Contact Information [email protected] US/EMEA Media Inquiries: IGNITE Consulting Meredith Bagnulo, +1 303-513-7494 Denise Nelson, +1 925-858-5198 Australia/APAC Media Inquiries: Emily King, Arcitecta Marketing and Communications +61 434 255 022 Media Contact SOURCE Arcitecta

HPCwire
Oct 21st, 2026
DDN and Nebul accelerate Sovereign AI inference with DDN Infinia.

DDN and Nebul accelerate Sovereign AI inference with DDN Infinia. October 21, 2026 Press play to listen to this content DDN Infinia helps Nebul reuse model context across its NVIDIA-powered AI cloud, with testing showing nearly 10x faster token responses BERLIN, Oct. 21, 2026 - DDN announced today at GTC Berlin 2026 that European AI cloud provider Nebul is using DDN Infinia to accelerate AI inference for sovereign workloads across its NVIDIA-powered infrastructure. Specifically, DDN Infinia is being used to store and reuse key-value (KV) cache, reducing the GPU work required to serve AI models. In testing, DDN helped Nebul sovereign AI workloads find answers faster at a lower cost: * Nearly 10x faster time to first token with DDN Infinia than Nebul's own cache on CPU and memory. * Up to 5x faster token responses than alternative solutions. * 2.5x more input tokens per second from the same GPUs. * Nearly 60% lower cost per million input tokens, by reloading context instead of recomputing it. Testing covered workloads ranging from short prompts to large-token contexts under concurrent demand. Nebul measured results on its own platforms, with the same eight GPUs, model and workloads on both sides. As AI moves into production, inference performance increasingly depends on how efficiently infrastructure can preserve and reuse work GPUs have already completed. Infinia stores KV cache so it can be accessed across the GPU fleet rather than remaining tied to a single GPU server. If a GPU is replaced or a workload is rescheduled, previously generated context can be restored, provided the key remains available, rather than rebuilt from scratch. "Every time a GPU rebuilds context it has already processed, it is spending cycles repeating work," said Alex Bouzari, CEO and Co-Founder at DDN. "By making that context available across Nebul's GPU fleet, Infinia helps deliver faster inference and more productive use of GPU capacity while keeping data within the sovereign environment." Keeping AI Context Available Across the GPU Fleet DDN Infinia extends Nebul's data controls to the KV cache used during inference. Tenant, subtenant and dataset scope remain attached to the stored context, while cache capacity can be managed without interrupting inference. In multi-tenant environments, DDN Infinia helps Nebul: * Restore model context across the GPU fleet: Infinia stores KV blocks outside individual GPU servers so previously generated context can be restored when the key remains available. * Keep tenant data isolated: Tenant, subtenant and dataset scope remain part of the key namespace so saved context stays isolated between tenants. * Manage cache pressure without stopping inference: Infinia applies eviction policies at the dataset and tenant level as capacity fills, allowing inference to continue while older cache data is removed. "AI sovereignty should not come at the expense of performance," said Arnold Juffer, CEO of Nebul. "With DDN Infinia, we can reuse model context across our GPU infrastructure instead of spending valuable GPU cycles recomputing it. That makes inference faster and more efficient while keeping the complete AI workload within the sovereign environment." Supporting Sovereign AI Workloads in Enterprise Environments Nebul's customers illustrate the types of regulated and proprietary AI workloads driving demand for sovereign AI infrastructure. Netherlands-based Centric, a leading European IT and software company whose solutions support approximately 70% of Dutch municipalities, uses Nebul to run sovereign AI model inference with enterprise-grade security and observability. By keeping AI workloads and data within Nebul's European infrastructure, Centric can integrate AI into its software and services while maintaining the control, security and operational visibility required for public-sector environments. Utrecht-based Leukeleu runs its private AI assistant, SureGPT, on Nebul while keeping each customer's data under that customer's control. SureGPT is designed for organizations that want to use AI across internal documents such as board strategies, financial models, product roadmaps and other proprietary information while keeping each customer's data under that customer's control. DDN is the world's leading provider of AI data storage and data management platforms, powering over 20 years of innovation across HPC, enterprise, and the largest AI deployments on Earth. With its EXA, Infinia, and intelligent data management platforms, DDN delivers unmatched performance, scale, and business value for customers building next-generation AI factories, hyperscale clouds, and Sovereign AI initiatives. DDN is the trusted partner for thousands of the world's most data-intensive organizations, including the leading national labs, research institutions, enterprises, hyperscalers, financial firms, and autonomous vehicle innovators. For more information, visit www.ddn.com. Nvidia says it can cut the time to set up an AI data center from... Europe is making progress with its AI for science initiative, dubbed Resource for AI Science... Nvidia made a slew of announcements at GTC Berlin today that demonstrate its commitment to... NEW YORK, NY - High-performance computing has reached a new milestone in New York State... Do you know the difference between closed-weight models, open-weight models, open-data, and open-source? More importantly,... The AI boom has created insatiable demand for high-performance computing, driving up the cost on...

MarTech360
Oct 6th, 2026
DDN names Adam Berlew as Chief Marketing Officer.

DDN names Adam Berlew as Chief Marketing Officer. DDN has named Adam Berlew as Chief Marketing Officer, bringing an experienced enterprise technology marketing executive into its leadership team as the company continues to expand its focus on AI and data infrastructure. Berlew joins DDN from Equinix, where he served as Chief Marketing Officer. His career has included senior marketing and strategy roles at companies including Atlassian, Google, Brocade Communications, Dell, and Equinix. He has worked across cloud, enterprise technology, AI, telecommunications, and digital infrastructure. At Google, Berlew held leadership positions spanning cloud marketing and AI strategy, while at Atlassian he led global digital, enterprise, economy, and platform marketing. He previously served as Vice President of Global Marketing at Equinix before returning to the company as CMO in 2023. In his new role at DDN, Berlew will lead marketing as the company operates across AI infrastructure, high-performance computing, and data intelligence. DDN's platform supports organizations working with large-scale AI workloads, including hyperscalers, cloud providers, enterprises, government organizations, and research institutions. Berlew's appointment comes as the AI infrastructure market increasingly focuses on the relationship between computing capacity, data management, GPU utilization, and the economics of training and inference. DDN has been developing its portfolio around these areas, including its Infinia data platform and infrastructure for AI and high-performance computing. The appointment also adds marketing leadership to DDN's executive structure following several leadership changes in 2026. The company recently appointed Kevin Delane as President and Chief Revenue Officer, with responsibility spanning global revenue strategy, go-to-market execution, marketing, and customer success. For DDN, Berlew's move brings marketing experience from several major enterprise technology companies into an organization increasingly focused on AI data infrastructure. His background across cloud, AI, and enterprise marketing places him within a market where technical positioning and clear communication around increasingly complex infrastructure technologies are becoming important parts of go-to-market strategy.

DapuStor
Sep 18th, 2026
DapuStor brings Together four AI Infrastructure partners at Tech Week Singapore 2026.

DapuStor brings Together four AI Infrastructure partners at Tech Week Singapore 2026. 18th Sep,2026 browse number:67 DapuStor Singapore, September 2026 - DapuStor, an enterprise storage solution provider, will showcase alongside its AI infrastructure partners - DDN, Supermicro, Ubitus, and ExponTech - at Tech Week Singapore 2026, taking place September 29-30 at Marina Bay Sands. Through a series of joint showcases, DapuStor will highlight how enterprise storage can work alongside data platforms, compute infrastructure, and AI applications to support data-intensive AI workloads at scale. Powering AI Infrastructure Together. Under the theme "Powering AI Infrastructure Together," DapuStor will showcase its full enterprise SSD portfolio alongside four AI infrastructure partners, including the 512TB R6060 QLC SSD, J5060 SLC/QLC mixed-mode SSD, R6 liquid-cooled E1.S SSD, J5 M.2 boot drive SSD, among other innovations. The portfolio is designed to address the growing storage demands of AI training and inference, including growing dataset sizes, rising thermal constraints, and the need to improve infrastructure efficiency while controlling CapEx. DapuStor x DDN | Powering the World's AI Data. In collaboration with DDN (DataDirect Networks), a global leader in AI and high-performance data infrastructure, DapuStor will showcase how its high-performance enterprise TLC SSDs, including the H5 and R6 series, support AI data platforms such as DDN Infinia, EXAScaler, and X3M. The joint showcase will highlight efficient data access and movement for large-scale AI infrastructure, delivering high-performance storage for AI training and other data-intensive applications. DapuStor x Ubitus | accelerating AI training & inference. Together with Ubitus, a provider of GPU cloud and AI computing solutions, DapuStor will present an integrated AI infrastructure solution combining scalable GPU computing with enterprise storage for AI training, inference, and other data-intensive workloads. DapuStor x ExponTech | Optimizing Storage for AI Workloads. Working with ExponTech, a provider focused on AI-native data infrastructure and software-defined storage, DapuStor will showcase storage solutions for applications including KV Cache, RAG, AI training, and inference. The joint solution will highlight low-latency data access and scalable storage performance, improving efficiency across AI workloads. Panel discussion. On September 29, from 3:35 to 4:15 p.m. SGT, John Li, VP of Marketing and Operations at DapuStor, will join the panel discussion "AI Sovereignty in Asia Pacific - Navigating Strategy, Policy, and Control." Alongside industry and technology leaders, the panel will explore the evolving requirements for AI infrastructure, data governance, and strategic control across the region. Keynote session. On September 30 from 12:45-1:05 p.m. SGT, DapuStor and DDN will jointly present "Powering AI Infrastructure with High-Performance Storage" at the Cloud & AI Infrastructure Keynote Theatre. The session will share perspectives on how storage and data infrastructure can support scalable, production-ready AI deployments. Visitors are invited to meet DapuStor and its partners at Booth 5-I45 (Level 5) on September 29-30 at Marina Bay Sands, Singapore, and explore the latest enterprise storage technologies and joint AI infrastructure showcases.

DDN
Sep 15th, 2026
DDN EXAScaler wins 2026 SiliconANGLE TechForward Award for Data Storage & Management.

DDN EXAScaler wins 2026 SiliconANGLE TechForward Award for Data Storage & Management. Industry recognition underscores EXAScaler's ability to deliver the performance, scale and efficiency required for the world's most demanding AI and high-performance computing environments SANTA CLARA, Calif. - September 14, 2026 - - DDN, the global leader in AI and data intelligence solutions, today announced that DDN EXAScaler has been named the winner of the 2026 SiliconANGLE TechForward Award in the Data Storage & Management category. EXAScaler was selected as the top submission among the category's finalists in the largest and most competitive SiliconANGLE Media Awards program to date. The recognition highlights EXAScaler's technical innovation, market differentiation, and proven ability to support data-intensive AI and high-performance computing workloads at extraordinary scale. "AI success depends on keeping accelerated computing resources continuously supplied with data," said Alex Bouzari, Co-Founder and CEO at DDN. "EXAScaler was engineered to eliminate the data bottlenecks that leave valuable GPUs waiting. This recognition from SiliconANGLE reinforces the critical role that intelligent, high-performance data platforms play in helping organizations increase utilization, accelerate time to insight, and realize greater value from their AI investments." Built for the extreme requirements of modern AI factories, EXAScaler delivers a scalable, high-throughput data foundation for model training, fine-tuning, checkpointing, and other performance-intensive workloads. Its parallel architecture enables organizations to maintain predictable performance as data volumes, model sizes, and computing environments grow. EXAScaler provides: * Massive parallel performance capable of supporting the world's largest AI and supercomputing environments * A scalable POSIX namespace designed to accommodate exabyte-scale datasets * Sub-millisecond latency and aggregate throughput at terabytes-per-second scale * NVIDIA GPUDirect Storage integration to streamline data movement and improve GPU utilization * Enterprise capabilities for multi-tenancy, data security, observability and workload management * A proven foundation for research institutions, enterprises, government organizations and AI service providers With more than one million GPUs supported in production environments worldwide, DDN helps organizations transform increasingly complex and distributed data into business, scientific and societal outcomes. EXAScaler is a foundational component of the DDN AI Data Fabric, providing the high-performance data services required throughout the AI lifecycle. The SiliconANGLE TechForward Awards recognize established enterprise solutions and breakthrough technologies shaping the future of business across AI, security, cloud, data platforms and blockchain. Entries are evaluated by an independent panel of SiliconANGLE Media executives, industry analysts, journalists, venture capitalists and enterprise technology practitioners. As a 2026 TechForward Award winner, DDN EXAScaler will receive a first-place, full-page feature in the 2026-2027 SiliconANGLE TechForward Buyer's Guide. The searchable digital guide is scheduled to be published on the SiliconANGLE website on September 28, 2026. The complete list of 2026 TechForward Award winners is available at siliconangle.com/awards. DDN is the world's leading provider of AI data storage and data management platforms, powering over 20 years of innovation across HPC, enterprise, and the largest AI deployments on Earth. With its EXA, Infinia, and intelligent data management platforms, DDN delivers unmatched performance, scale, and business value for customers building next-generation AI factories, hyperscale clouds, and Sovereign AI initiatives. DDN is the trusted partner for thousands of the world's most data-intensive organizations, including the leading national labs, research institutions, enterprises, hyperscalers, financial firms, and autonomous vehicle innovators. For more information, visit www.ddn.com. Explore its Resources September 15, 2026 December 3-4, 2026 Manchester, UK October 6, 2026 London, UK