R

Rescale

Cloud-based HPC platform for simulations

Strategic Account Executive

Full-Time
€150k - €177k/yr
Senior
France
HybridMust be based in France and travel regularly across the country; travel is approximately 30%.
Sales & Account ManagementField Sales, Account Management

About the job

Requirements
  • At least 5 years of success in enterprise or strategic account sales, ideally selling complex technical, cloud, software-as-a-service, platform, engineering, or scientific-computing solutions.
  • Demonstrated success growing enterprise accounts and/or winning new business in France.
  • Experience selling to large organizations in automotive, manufacturing, industrial technology, engineering software, simulation, high-performance computing, cloud, or adjacent technology environments.
  • A track record of managing long, complex, multi-threaded enterprise sales cycles from discovery through close and expansion.
  • Ability to engage credibly with engineering, research and development, information technology, digital transformation, procurement, finance, and executive stakeholders.
  • Strong skills in consultative discovery, value selling, negotiation, executive communication, and closing.
  • Experience using Salesforce or a similar customer relationship management system with disciplined opportunity management and forecasting.
  • Excellent written and verbal communication skills in French and English.
  • Must be based in France and able to travel regularly to customer sites and industry events across the country.
  • Strong organization, prioritization, and account-planning skills.
Responsibilities
  • Own and grow a focused portfolio of strategic key and enterprise accounts across France.
  • Build account and territory plans that identify the highest-value expansion paths, whitespace, executive relationships, and competitive risks.
  • Expand existing Rescale customers by introducing additional capabilities across the platform, from Rescale high-performance computing to Advanced Modeling and Simulation, Agentic Engineering, and AI Physics.
  • Develop new enterprise relationships and win new logos where Rescale’s platform can transform engineering and research and development workflows.
  • Generate pipeline through proactive prospecting, account-based engagement, executive networking, customer insight, and disciplined market development.
  • Engage senior stakeholders across engineering, research and development, simulation, information technology, digital transformation, finance, procurement, and executive leadership.
  • Lead the full enterprise sales cycle, including account planning, discovery, qualification, value engineering, business-case development, solution alignment, negotiation, procurement, and close.
  • Position Rescale as a strategic platform for high-performance computing modernization, simulation acceleration, engineering workflow transformation, and artificial-intelligence-driven product development.
  • Articulate how Rescale’s offerings work together: high-performance computing as the scalable foundation; Advanced Modeling and Simulation as the workflow layer; Agentic Engineering as the automation layer; and AI Physics as the intelligence layer that turns simulation data into predictive insight.
  • Build trusted relationships across the customer organization, from end users and technical champions to business sponsors, procurement leaders, and C-level decision-makers.
  • Orchestrate internal teams to deliver coordinated account plans, executive engagement, technical validation, pilots, and commercial proposals.
  • Maintain rigorous Salesforce hygiene, forecast accuracy, opportunity inspection, and pipeline coverage, with clear weekly visibility into commit, likely, best case, and risk.
  • Represent Rescale in customer meetings, industry events, and executive forums across France, with travel expected at approximately 30%.
Desired Qualifications
  • Additional languages are an advantage.
  • Experience selling complex technical, cloud, software-as-a-service, platform, engineering, or scientific-computing solutions is ideal.

About the company

R

Rescale

View
cbWebsite

Rescale provides a cloud-based platform for high-performance computing that lets engineers and scientists run large simulations without managing on-premises infrastructure. It operates as HPC-as-a-service on a hybrid cloud, automating workload orchestration and supporting more than 1,000 software applications. Rescale differentiates itself through multi-cloud partnerships (AWS, Azure, Google Cloud, Oracle Cloud), its founders’ engineering background, and a broad customer base across aerospace, automotive, life sciences, energy, semiconductors, and government. Its goal is to speed up innovation by making supercomputing capabilities accessible to organizations of all sizes for faster design, testing, and digital R&D.

Company Size

201-500

Company Stage

Series D

Total Funding

$299.5M

Headquarters

San Francisco, California

Founded

2011

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 9, 2026 DOE labs chose Rescale for the Agentic HPC Pipeline Initiative.
  • May 12, 2026 launched agentic Digital Engineering with 1,000x faster simulations claims.
  • August 25, 2026 CoreWeave expanded Rescale's GPU capacity for simulation and AI workloads.

What critics are saying

  • Rescale depends on NVIDIA, CoreWeave, and AWS; supplier bargaining power compresses margins.
  • DOE and national-lab pilots can stall before procurement, leaving 2026 momentum unmonetized.
  • Hyperscalers can bundle simulation software into cloud contracts, erasing Rescale's orchestration layer.

What makes Rescale unique

  • Rescale bridges DOE codes and enterprise workflows through agentic HPC, not generic cloud compute.
  • McLaren adopted Rescale in March 2026, proving automotive-grade agentic simulation workflows.
  • CoreWeave integration and NVIDIA-backed infrastructure give Rescale a specialized performance stack.

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Benefits

  • Health Insurance - Medical, dental and vision coverage.
  • Apple Gear - Get the latest tools to do amazing work.
  • Team Events - Happy hours, picnics, and hackdays
  • Catered Lunches - Get tasty meals delivered three days a week.
  • Commuter Benefits - Pre-tax savings on your commute.
  • 401(k) + Stock Options - Receive meaningful equity in the company.

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-1%
Market Chameleon
Aug 25th, 2026
CoreWeave's AI Cloud Integration boosts Rescale's engineering Platform - What this means for next-gen product development.

CoreWeave's AI Cloud Integration boosts Rescale's engineering Platform - What this means for next-gen product development. 25 August 2026, 8:12 AM CoreWeave's cloud now powers Rescale's advanced engineering workloads. CoreWeave (NASDAQ:CRWV) and Rescale just teamed up, signaling a significant upgrade for companies relying on high-demand simulations and AI-heavy development. This partnership enables Rescale's digital engineering users to leverage CoreWeave's purpose-built AI cloud - tailored for industries ranging from aerospace to life sciences - unlocking faster and more efficient product innovation. Integration strengthens Rescale's Platform with ai-optimized infrastructure. Instead of traditional approaches that can bottleneck under complex simulations, Rescale now integrates with CoreWeave Kubernetes Service (CKS). That means engineering teams gain seamless, scalable access to containers, high-performance networking, and storage - no more wrestling with infrastructure. For users, that could translate into faster research cycles and the ability to run sophisticated AI models and distributed simulations at scale. CoreWeave's cloud performance receives top industry ratings. What sets CoreWeave apart in the increasingly crowded AI cloud space? It consistently ranks at the top of industry benchmarks - achieving platinum ratings in both SemiAnalysis ClusterMAX(TM) 1.0 and 2.0. These results reflect not just industry-leading speed and efficiency but also reliability at scale, making CoreWeave a trusted backbone for AI labs, startups, and major enterprises alike. | Key Feature | Benefit for Users | | Full-Stack AI Cloud Platform | Run experiments, training, and large-scale simulation across the entire AI lifecycle | | CKS Integration | Orchestrate containerized workloads with minimal friction, boosting agility | | Top ClusterMAX(TM) Benchmarking | Industry-leading performance and reliability in AI and HPC workloads | This collaboration targets the future of ai-driven engineering. With today's R&D shifting towards AI physics and autonomous engineering workflows, compute requirements are growing exponentially. Rescale's focus on integrating CoreWeave's AI muscle is a clear strategic move as customers demand infrastructure that can keep up with next-generation challenges. For investors and industry watchers, this deal positions CoreWeave as more than just another cloud provider - it's an essential partner in pushing the frontiers of digital engineering and AI product development. Key takeaway: Rescale and CoreWeave set new standards in cloud performance. CoreWeave's collaboration with Rescale could make complex, resource-hungry simulations accessible to a broader range of engineering teams. For anyone following the AI infrastructure space or the future pace of product innovation, this move is a signal worth noting. As always, how companies leverage this power will define who leads the next wave of technological breakthroughs. Contact Information: If you have feedback or concerns about the content, please feel free to reach out to Market Chameleon via email at [email protected]. About the Publisher - Marketchameleon.com: Marketchameleon is a comprehensive financial research and analysis website specializing in stock and options markets. Market Chameleon leverage extensive data, models, and analytics to provide valuable insights into these markets. Its primary goal is to assist traders in identifying potential market developments and assessing potential risks and rewards. NOTE: Stock and option trading involves risk that may not be suitable for all investors. Examples contained within this report are simulated and may have limitations. Average returns and occurrences are calculated from snapshots of market mid-point prices and were not actually executed, so they do not reflect actual trades, fees, or execution costs. This report is for informational purposes only, and is not intended to be a recommendation to buy or sell any security. Neither Market Chameleon nor any other party makes warranties regarding results from its usage. Past performance does not guarantee future results. Please consult a financial advisor before executing any trades. You can read more about option risks and characteristics at theocc.com. The information is provided for informational purposes only and should not be construed as investment advice. All stock price information is provided and transmitted as received from independent third-party data sources. The Information should only be used as a starting point for doing additional independent research in order to allow you to form your own opinion regarding investments and trading strategies. The Company does not guarantee the accuracy, completeness or timeliness of the Information. Disclosure: This article was generated with the assistance of AI

Military Industry Today
Aug 21st, 2026
AI disrupts Glass Fiber manufacturing: predictive maintenance, digital twins, and a $6 billion infrastructure deal signal a new industrial era.

AI disrupts Glass Fiber manufacturing: predictive maintenance, digital twins, and a $6 billion infrastructure deal signal a new industrial era. "Predictive maintenance, digital twins and AI-enabled process optimization are reshaping glass fiber manufacturing as major infrastructure investment expands." Boston, Aug. 21, 2026 (GLOBE NEWSWIRE) - Artificial intelligence is reshaping one of manufacturing's most energy-intensive and capital-demanding sectors. AI Impact on Glass Fiber Market - BCC Pulse Report, published by BCC Research, examines how AI-powered technologies are transforming glass fiber production across predictive maintenance, process optimization, quality control, and supply chain management - as landmark investment deals and strategic R&D partnerships signal accelerating industry-wide adoption. Key Findings - Investment momentum is building rapidly. In March 2026, Corning and Meta entered a multiyear agreement valued at up to $6 billion to accelerate U.S. AI data center infrastructure, supporting advanced glass solutions for high-speed connectivity - underscoring glass fiber's strategic role in the AI computing ecosystem. - North America and Asia-Pacific are leading AI adoption. North America has emerged as a frontrunner in deploying predictive, data-driven manufacturing systems across the glass fiber and insulation value chain. Asia-Pacific is experiencing the fastest growth in AI integration, driven by large-scale production capacity, rapid industrialization, and surging demand from construction, wind energy, and electronics sectors. - Predictive maintenance and reliability-as-a-service are redefining operational models. Owens Corning has transitioned toward a reliability-as-a-service framework powered by AI, achieving measurable improvements in equipment reliability and reductions in unplanned downtime - a critical advance in continuous production environments reliant on high-capital assets including furnaces, bushings, and fiberizing equipment. - Generative AI and digital twins are unlocking process-level optimization. Saint-Gobain has applied generative AI to optimize production parameters and advance sustainable manufacturing across glass fiber and insulation lines. Digital twin technology - replicating furnaces, fiberizing units, and curing systems using real-time data inputs - is enabling manufacturers to simulate, test, and refine production processes without disrupting live operations. - Emerging technologies are converging across the value chain. Advanced computer vision, IIoT-integrated sensor analytics, AI-enabled furnace condition monitoring, and AI-driven supply chain forecasting tools are being deployed in parallel, creating increasingly autonomous and adaptive manufacturing environments. - Key players driving transformation include Owens Corning, Saint-Gobain, Johns Manville, Knauf Insulation, China Jushi Co., Ltd., Taishan Fiberglass Inc., Nippon Electric Glass, Corning Incorporated, SABIC, Glass Futures, NVIDIA, Applied Materials, Rescale, Lumotive, Blaize, and Machina Labs. Strategic Implications The structural case for AI adoption in glass fiber manufacturing is compelling and multi-layered. Glass fiber production is inherently sensitive to variations in temperature, raw material composition, and equipment performance - conditions that make AI-driven process control not merely advantageous but operationally necessary. Energy consumption in furnace operations is both a cost imperative and a regulatory liability, with mounting carbon reduction commitments accelerating demand for AI-enabled fuel optimization. The convergence of Industry 4.0 infrastructure, government-backed smart manufacturing initiatives - particularly across Asia-Pacific - and growing end-market demand from wind energy, construction, transportation, and industrial composites is compressing the timeline for widespread AI integration. Recent funding activity reinforces this trajectory. Rescale secured $115 million from Applied Materials and NVIDIA to expand its AI-enabled engineering simulation platform. Lumotive closed a $45 million Series B to advance programmable optical semiconductors for AI data centers. Machina Labs raised $32 million to scale AI-driven manufacturing for advanced composite components. Nippon Electric Glass pursued strategic R&D in large glass substrates targeting AI chip applications - a signal that glass material innovation and semiconductor demand are increasingly intertwined. Investment Considerations For investors, the glass fiber sector's AI transformation presents exposure to a high-volume industrial market undergoing a structural productivity shift, with upside driven by cost reduction, yield improvement, and new product development aligned with AI infrastructure build-out. The Corning-Meta agreement alone illustrates how glass fiber suppliers are becoming embedded in AI supply chains well beyond traditional end markets. Near-term risks include uneven digital infrastructure across emerging regions - particularly South America, the Middle East, and Africa - as well as integration complexity and the challenge of extracting actionable insight from large-scale sensor data environments. Companies with established digital infrastructure, Industry 4.0 frameworks, and proven AI deployment - including Owens Corning, Saint-Gobain, and Corning Incorporated - appear best positioned to capture near-term operational advantages and long-term competitive differentiation. About the Report AI Impact on Glass Fiber Market - BCC Pulse Report (AIT200A) provides a qualitative analysis of AI adoption across the glass fiber manufacturing value chain, examining key investment activity, emerging technologies, strategic partnerships, leading market participants, and adoption trends by region and application segment. About BCC Research BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Its experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process. For media inquiries, email [email protected] or visit its media page for access to its market research library. Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher. BCC Research LLC 50 Milk St., Ste. 16, Boston, MA 02109 [email protected] | +1 781-489-7301 www.bccresearch.com Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Military Industry Today do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Third News
Jul 23rd, 2026
Rescale wins DOE Genesis Mission funding to bridge AI engineering gap between labs and US manufacturers

Rescale, an AI-driven engineering platform, has secured funding from the U.S. Department of Energy's Genesis Mission. The company was selected from over 8,000 applications in the DOE's largest selection process to date. Rescale will participate in the Agentic HPC Pipeline Initiative alongside Lawrence Berkeley, Lawrence Livermore, and Oak Ridge National Laboratories. The initiative aims to bridge the gap between advanced simulation technologies developed in federal labs and their practical application in American manufacturing sectors. The Genesis Mission announced $293 million in funding earlier this year, covering fields including advanced manufacturing and quantum information science. The programme aims to democratise access to sophisticated engineering simulation codes by leveraging agentic AI, which will guide engineers in code selection and simulation processes, reducing complexity for U.S. manufacturers.

PR Newswire
Jun 9th, 2026
US national labs partner with Rescale to democratise DOE simulation codes through agentic AI

Rescale has announced a proposed collaboration with three US Department of Energy national laboratories—Lawrence Berkeley, Oak Ridge, and Lawrence Livermore—to make DOE simulation codes accessible to American industry through agentic AI. The partnership, called the Agentic HPC Pipeline Initiative, would use Rescale's digital engineering platform to automate complex simulation workflows. The initiative aims to address the expertise gap that has historically prevented manufacturers from using sophisticated DOE-developed engineering codes. Rescale's AI agents automate tasks like mesh configuration, hardware selection and solver tuning, allowing engineers to run advanced simulations without specialist knowledge. The collaboration builds on existing work with Oak Ridge's Manufacturing Demonstration Facility. The three laboratories bring complementary expertise across fluid dynamics, materials science, additive manufacturing and energy systems.

Rescale
Jun 9th, 2026
Rescale and U.S. National labs form initiative to bring DOE simulation codes to American industry.

Rescale and U.S. National labs form initiative to bring DOE simulation codes to American industry. June 9, 2026 Lawrence Berkeley, Oak Ridge, and Lawrence Livermore national laboratories propose partnering with Rescale to make DOE simulation codes accessible through agentic AI SAN FRANCISCO, CA - June 9, 2026 - Rescale, the digital engineering platform built for the AI era, today announced a landmark proposed collaboration with three premier U.S. Department of Energy national laboratories: Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), and Lawrence Livermore National Laboratory (LLNL). The proposed collaboration builds on existing work with the ORNL Manufacturing Demonstration Facility to bring world-class simulation codes developed at the national labs to American industry at scale. Operating as the Agentic HPC Pipeline Initiative (AHPI), the partnership would use recently launched agentic digital engineering capabilities on the Rescale platform to accelerate U.S. manufacturers' deployment of DOE-developed codes in production engineering environments. For decades, the Department of Energy has invested in developing some of the world's most sophisticated engineering simulation codes, spanning advanced manufacturing, materials science, energy systems, and beyond. Yet operating these codes has required specialized expertise to configure and maintain the software on HPC infrastructure as well as run the advanced simulations themselves, keeping their power out of reach for most of U.S. industry. The AHPI consortium is designed to close these infrastructure and expertise gaps. By hosting DOE codes on the Rescale digital engineering platform and pairing them with agentic AI that guides users through every step, engineers across U.S. industry can translate intent into fully autonomous simulation workflows. Tasks that previously demanded deep specialist knowledge, such as mesh configuration, hardware selection, solver tuning, and checkpoint management, are now handled autonomously by these simulation-native agents. "America's national laboratories have spent decades building the most powerful engineering simulation software in the world, like our AMReX framework, but the depth of domain expertise required to configure and validate these tools has kept them out of reach for many manufacturers," said Peter Nugent, Division Deputy for Science in the Applied Math & Computational Research Division at LBNL and Principal Investigator of the AHPI project. "By integrating our codes with Rescale's AI agents, we are fundamentally shifting the paradigm. We are replacing the manual burden of solver selection, checkpointing, and hardware configuration with intelligent automation. This translates scientific intent directly into computational reality." Rescale's in-platform agents are already orchestrating manufacturing codes developed at ORNL's Manufacturing Demonstration Facility, enabling engineers to integrate manufacturing data into automated workflows. "At ORNL, we are focused on pushing the boundaries of what is possible in physical production," said Ramanan Sankaran, ORNL Lead. "We are already seeing our advanced manufacturing codes from the Manufacturing Demonstration Facility being orchestrated by in-platform agents. By reducing the expertise bottleneck in job configuration and allowing engineers to train surrogate models on their simulation data using in-platform agents, we are enabling U.S. manufacturers to innovate at speeds that were previously impossible." The proposed collaboration with LLNL builds on the established HPC for Energy Innovation (HPC4EI) program, which connects U.S. companies with national laboratory expertise and resources in high performance computing, modeling and simulation. "Through HPC4EI, LLNL has a long and successful history of bridging the gap between national lab supercomputing and real-world industrial applications," said Aaron Fisher, LLNL Lead. "However, scaling that impact requires a new approach to user accessibility. We believe the use of agentic AI will lead to a step change in our ability to bring these capabilities to American industry. This effort is exploring scalable pathways to help manufacturers access AI-enabled simulation workflows beyond initial DOE engagements, while building on HPC4EI's broader mission." Together, the three laboratories bring complementary depth across fluid dynamics, phase and chemical transformations, additive manufacturing, materials science, and energy systems, covering the full breadth of advanced manufacturing applications. The Rescale platform is intended to provide secure, cloud-native access to these codes through an intuitive, agent-augmented interface that requires no specialized HPC expertise to operate. "In the United States, both industry and the national labs have made extraordinary investments in computing infrastructure and simulation software," said Joris Poort, CEO of Rescale. "Rescale's digital engineering platform serves as the bridge that brings both investments together in one place and puts them to work accelerating innovation for American industry. By pairing the world's best simulation codes with AI agents that automate the complex workflows around them, we are giving American manufacturers a compounding advantage to accelerate progress, which is the ability to explore design spaces, validate materials, and optimize manufacturing processes at speeds and scales that were previously out of reach." The AHPI initiative represents a broader strategic vision for the role of AI in closing the gap between government-funded scientific capability and commercial industrial application. As AI-powered simulation becomes increasingly critical to how products are designed and built, the companies with access to the best tools will have a meaningful edge. AHPI is committed to making sure those tools are within reach for U.S. industry. The Rescale platform, including the capabilities powering the AHPI consortium, is available now. For more information, visit rescale.com. About Rescale Rescale is the digital engineering platform built for the AI era. The Rescale platform integrates intelligent HPC, advanced modeling and simulation, agentic digital engineering, and AI physics to create compounding value that accelerates product development and empowers digital transformation. The Rescale platform delivers the world's largest network of engineering and R&D applications, intelligent automation, and computing infrastructure to enterprises across aerospace, automotive, energy, life sciences, semiconductor, manufacturing, and the public sector. Rescale is backed by leading investors such as NVIDIA, Sam Altman, Jeff Bezos, Paul Graham, Peter Thiel, Microsoft, Samsung, Hitachi, University of Michigan, and others. Rescale has a global customer base that includes Applied Materials, General Motors Motorsports, SLB, and the U.S. Department of Defense. For more information, visit rescale.com.