Full-Time
Field Marketing Lead
Neural Concept
51-200 employees
3D deep-learning CAD-CAE design optimization
No salary listed
New York, NY, USA
Hybrid
Hybrid model; on-site presence in New York City/Jersey City required for events.
 Growth & Marketing (1) |
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- 6–10 years of experience in B2B field marketing, revenue marketing, or demand generation in an enterprise or complex sales environment
- Proven track record of working tightly with Sales teams on pipeline-driven initiatives
- Hands-on experience designing and executing executive-level events, ABM programs, and field activations
- Strong understanding of enterprise buying motions and long sales cycles
- Ability to plan, execute, and measure programs independently, with high ownership
- Design and execute the U.S. field marketing strategy aligned with global marketing priorities and U.S. sales objectives
- Partner closely with Sales to drive pipeline creation, deal acceleration, and account expansion for priority enterprise accounts
- Plan and deliver high-impact field programs, including executive dinners and private roundtables
- Flagship industry conferences and selective trade events
- Account-based marketing programs for top-tier accounts
- Creative, targeted field experiments designed to reach senior engineering and business leaders
- Co-create and execute joint field programs with strategic technology partners (e.g., NVIDIA, Microsoft)
- Own programs end-to-end, from concept and budgeting to execution, follow-up, and measurement
- Track and report performance using pipeline sourced, pipeline influenced, and revenue impact
- Act as the voice of the U.S. market, sharing field insights, customer feedback, and competitive signals with the broader marketing and leadership teams
- Experience in B2B SaaS, AI, engineering software, or deep-tech environments
- Experience working with global or distributed teams
- Prior exposure to partner or ecosystem marketing
Neural Concept uses 3D deep-learning to improve product design in automotive and aerospace. Its product, Neural Concept Shape (NCS), analyzes designs directly within CAD to provide physics-based insights, guiding designers without the need for meshing and lengthy simulations. This speeds up the design workflow by bridging CAD and CAE teams, reducing iteration time and late-stage failures. The company licenses its technology to clients, integrating into existing design processes, and has partnered with OEMs and Tier 1 suppliers such as Danfoss and Mitsubishi Chemical Group to boost performance and efficiency. Its goal is to help customers cut design lead times by substantial margins (claimed over 90%) and deliver better-performing products faster.
Company Size
51-200
Company Stage
Series C
Total Funding
$138.3M
Headquarters
Lausanne, Switzerland
Founded
2018
Simplify's Take
What believers are saying
- $100M Series C from Goldman Sachs funds generative CAD launch in early 2026 and Nvidia partnerships.
- Antolin scaled platform post-2024 pilot, expanding to interiors; OPmobility demos at CES 2025.
- Quadrupled revenue in 18 months, serving 50+ enterprises with $50M annual customer savings.
What critics are saying
- Siemens NX embeds native AI optimization, diverting 70% aerospace OEM contracts in 6 months.
- Ansys Discovery Live captures 40% faster simulations, poaching GM clients in 3 months.
- Autodesk Fusion AI copilot undercuts with free SME tiers, fragmenting share in Q2 2026.
What makes Neural Concept unique
- Neural Concept Shape integrates 3D deep-learning directly into CAD for physics insights without meshing.
- AI Design Copilot generates CAD-ready geometry and explores 10-1000x more design variants instantly.
- Physics-aware platform reduces lead times over 90% for automotive and aerospace OEMs like GM and Safran.
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Benefits
Health Insurance
Vision Insurance
Dental Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Flexible Work Hours
Hybrid Work Options
Paid Vacation
Health Insurance
Wellness Program
Mental Health Support
Gym Membership
Phone/Internet Stipend
Home Office Stipend
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -4%2 year growth
↓ -1%Antolin and Neural Concept partner to advance AI-driven automotive interior design. Antolin has entered a strategic partnership with Neural Concept to accelerate the use of artificial intelligence in automotive interior engineering. The collaboration aims to shorten design cycles, boost efficiency and support innovation across Antolin's global development teams. The agreement follows a successful pilot programme in 2024, after which Antolin began scaling Neural Concept's AI-first engineering platform across several product lines. The technology integrates into the company's existing design and simulation environments, enabling faster iterations and providing data-driven insights that support decision-making. "Artificial intelligence is becoming an essential tool to accelerate innovation and improve design efficiency," said Pedro Santesteban, Group VP - Global Engineering at Antolin. "Working alongside Neural Concept allows us to explore new ways of applying AI to strengthen our engineering processes and the capabilities of our teams." Interior lighting has become an increasingly important feature for shaping the in-car experience and reinforcing brand identity. Historically, Antolin's R&D teams relied on manual design refinements and lengthy simulation cycles, often taking weeks to complete. The introduction of AI-assisted workflows aims to streamline this process while meeting the stringent performance and safety requirements of global vehicle manufacturers. While the partnership is initially focused on lighting systems, both companies plan to extend their collaboration to a broader range of interior components, from plastic parts to more complex assemblies. Their long-term ambition is to redefine the entire interior design workflow, offering carmakers solutions that can be developed more quickly, sustainably and with greater customisation potential. Neural Concept's platform is expected to support Antolin in maintaining long-term competitiveness by giving engineering teams direct control over AI-enabled development tools. This, the companies say, will help future-proof Antolin's innovation capabilities. "Automotive interiors are evolving into one of the most critical areas of design differentiation for carmakers," said Dr Pierre Baqué, CEO and co-founder of Neural Concept. "By partnering with Antolin, a global key player in the field, we are helping their teams explore new creative possibilities in close coordination. Through AI-augmentation, we enable engineers to make smarter, data-driven decisions while eliminating the costly bottlenecks of manual iteration." By combining Antolin's industrial experience with Neural Concept's AI-driven engineering tools, the partnership aims to enhance competitiveness across the automotive supply chain. Both companies expect the collaboration to enable faster development cycles and support more ambitious design exploration as the industry continues to shift towards advanced, highly personalised interiors.
Neural Concept unveils AI Design Copilot to revolutionize engineering workflows. Neural Concept, the global leader in Engineering Intelligence and AI-driven product development, has officially launched its AI Design Copilot, a pioneering solution that integrates spatial reasoning, physics awareness, and CAD-ready geometry generation at enterprise scale. This launch signals a major shift in the engineering landscape, positioning Engineering Intelligence as the central AI layer guiding the entire design process from initial intent to final validation. The introduction of the AI Design Copilot comes on the heels of Neural Concept's rapid market growth, fueled last month by a $100 million Series C funding round led by Goldman Sachs. Modern engineers face unprecedented complexity as products increasingly span multiple physics domains, and the number of feasible design options has grown beyond what manual processes can handle. Traditional CAD workflows struggle to keep up, while generic AI models fail due to limited geometric and physical understanding. Neural Concept's AI Design Copilot addresses these challenges by enabling engineers to iterate across full design sets, explore millions of variants in multi-physics systems, and shift from isolated concept design to continuous, comparative discovery. Industries ranging from automotive, aerospace, semiconductors, consumer electronics, to energy and industrial systems are set to benefit from this innovation. The new copilot will initially launch within the Neural Concept platform, with broader access expected later this quarter. "Our AI Design Copilot closes the loop from concept to decision, enabling engineers to explore, test and refine designs at a scale that simply wasn't possible before," said Dr. Pierre Baqué, CEO and founder of Neural Concept. "What we're seeing across our customers is a fundamental change in how teams work: evaluating more design scenarios in parallel, uncovering optimizations earlier, and moving faster from concept to validation. This is Engineering AI emerging as the next great industrial shift that will empower engineers to focus on the hardest problems and deliver more efficient, safer, higher-performing products that will transform the world for the better." Unlike conventional AI design solutions that rely on limited text-based reasoning, Neural Concept's platform is fully physics and geometry-aware. Key features of the AI Design Copilot include: * Instant generation of CAD-ready geometry from high-level design concepts, reducing weeks of manual modeling to mere minutes. * Exploration of 10 to 1,000 times more design variants per iteration, allowing engineers to evaluate far more alternatives and optimize faster. * Seamless multi-physics simulation integration, covering thermal, fluid dynamics, crash, and electromagnetics scenarios, cutting manual workloads by up to 90% while accelerating smarter decision-making. As an open Engineering Intelligence platform, Neural Concept integrates with leading AI and 3D visualization ecosystems, including NVIDIA Omniverse, enabling scalable visualization and assessment of complex designs within existing industrial workflows. Over the past 18 months, Neural Concept has quadrupled enterprise revenue, serving over 50 global enterprises such as Subaru, General Motors, General Electric, Leonardo Aerospace, and four Formula 1 teams. The company plans to continue expanding its AI-driven design workflows and advancing the capabilities of its Engineering Intelligence platform. AI staff writer with a passion for exploring the latest in AI technology. Specializing in original rewrites and insightful coverage of cutting-edge advancements. Dedicated to delivering clear, engaging news and analysis on the evolving AI landscape to keep readers informed and ahead of the curve.
Neural Concept, a global AI platform and leader in Engineering Intelligence powering next-generation product development, today announced it raised a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives, with participation from existing investors Forestay Capital, Alven, HTGF, D. E. Shaw Ventures and Aster Capital.
Swiss firm Neural Concept secures $100M Series C to scale ai-native engineering. Lausanne-based firm Neural Concept, which develops AI-powered software that accelerates product design and simulation for engineering teams, has secured $100 million in a Series C round led by Goldman Sachs, with participation from Forestay Capital, Alven, HTGF, D.E. Shaw Ventures, and Aster Capital. * Founded in 2019 by Pierre Baqué, Théophile Allard, Thomas von Tschammer, and Dr. Jonathan Donier as a spin-out from EPFL in Lausanne, Neural Concept develops an AI-based engineering software platform for product design and simulation. * The company builds domain-specific AI models for engineering, designed to work directly with CAD and simulation tools used in industrial product development. Its technology analyzes 3D geometry alongside physical constraints and simulation data, allowing engineers to predict performance outcomes, such as aerodynamics, thermal behavior, structural strength, or electromagnetics, earlier in the design process. * Neural Concept's platform integrates with widely used CAD systems including NX, CATIA, and SolidWorks, and simulation software such as Ansys, Abaqus, Fluent, and Star-CCM+. Instead of replacing simulations, the AI learns from historical and generated simulation data to guide design decisions, reduce the number of required simulations, and surface trade-offs between performance, cost, and constraints. * The firm is used primarily by large industrial organizations in sectors such as automotive, aerospace, energy, semiconductors, and consumer electronics, where complex physics and long development cycles are common. Its software is typically deployed as part of enterprise engineering workflows rather than as a standalone design tool. Details of the deal. * Neural Concept plans to use the $100 million Series C funding to accelerate product development with a generative CAD capability, expand its global go-to-market teams, and strengthen partnerships with companies such as Nvidia, Siemens, Ansys, Microsoft, and AWS. * The funding will also enhance its physics-aware AI models and enterprise engineering workflows, supporting broader deployment across industries including automotive, aerospace, energy, semiconductors, and consumer electronics. "Advances in AI are transforming engineering from a process of trial and error into a data-driven workflow where tradeoffs and constraints can be understood and optimised from the start. This investment enables us to fast-track our progress toward establishing the intelligence layer powering every engineering team, worldwide," claims Dr. Pierre Baqué, CEO and founder of Neural Concept
With Nvidia, Siemens and Microsoft as partners, Lausanne-based Neural Concept raises €85 million. Neural Concept, a Lausanne-based AI platform and innovator in Engineering Intelligence powering product development, today announced it raised an €85 million ($100 million) Series C funding round. The round was led by Growth Equity at Goldman Sachs Alternatives, with existing investors Forestay Capital, Alven, HTGF, D.E. Shaw Ventures and Aster Capital. "We founded Neural Concept with the ambition to enable complete AI-driven design of advanced systems like tomorrow's cars and spacecrafts," said Dr Pierre Baqué, CEO and founder of Neural Concept. In 2025, EU-Startups reporting shows continued investor activity across European AI platforms operating in adjacent or partially overlapping domains to engineering intelligence. Vienna-based Optimuse raised a €4 million Seed round to scale its AI-driven building engineering software, while London's PolyAI secured €73.2 million in a Series D to expand its enterprise conversational AI platform. Also in London, Ankar closed a €17 million Series A to grow its AI-driven intellectual property software, and Iconic raised €11 million at Seed stage for an on-device AI platform focused on gaming. In Sweden, Stockholm-based Lovable announced a €281 million Series B to scale its AI-native full-stack software creation platform. Taken together, these 2025 rounds represent approximately €386 million of disclosed funding moving through the European AI software and platform sector. Against this backdrop, Neural Concept's €85 million Series C positions it among the larger mid-to-late-stage raises in Europe this year, and notably at the upper end of financings for AI platforms specifically focused on industrial engineering and product development, a segment where other reported rounds remain earlier-stage and smaller in size. "Advances in AI are transforming engineering from a process of trial and error into a data-driven workflow where tradeoffs and constraints can be understood and optimised from the start. This investment enables us to fast-track our progress toward establishing the intelligence layer powering every engineering team, worldwide," adds Dr Baqué. Founded in 2019 and spun out of the Swiss Federal Institute of Technology in Lausanne (EPFL), Neural Concept provides an AI-first engineering platform for product development. By embedding AI natively into design and simulation workflows, Neural Concept aims to empower engineering teams to compress development cycles from "months to days", improve product performance across efficiency, safety, and sustainability, and scale AI adoption without costly, years-long integration. The company drives product development across automotive, aerospace, energy, consumer electronics, semiconductors and defense industries, working with the world's leading global OEMs and component suppliers. By helping its customers build and deploy physics-aware design copilots, the platform enables teams to explore millions of design options earlier and avoid costly late-stage changes, accelerating the entire product development cycle. "Neural Concept's technology represents a rare leap forward in enterprise engineering AI," said Lambert Diacono, Executive Director Growth Equity at Goldman Sachs Alternatives. The team will use the funding to accelerate product development, including unveiling a generative CAD capability in early 2026, expand global GTM teams and strengthen its position as the intelligence layer across engineering systems, deepening partnerships with industry leaders such as Nvidia, Siemens, Ansys, Microsoft and AWS. "As demand accelerates for AI that drives real impact in complex industrial workflows, Neural Concept is emerging as one of the leading companies in the market," affirmed Christian Resch, Partner, Head of EMEA Growth Equity at Goldman Sachs Alternatives. Neural Concept's Series C marks the company's latest funding milestone following its €23 million ($27 million) Series B in 2024.