Jobs at Neural Concept

Build technical prototypes with NVIDIA and other partner technologies, then turn them into credible demos, videos, articles, event content, and co-marketing assets. Translate complex engineering and AI concepts into clear, visually compelling stories for external audiences. Collaborate across Marketing, Product, Research, Engineering, Vertical Solutions, and partner teams while validating technical claims and prioritizing market relevance.

Design and deliver production-grade, Python-first AI workflows for engineering applications. Integrate CAD, CAE, and machine learning tools into the Neural Concept platform, owning coding, testing, packaging, CI, documentation, and releases. Develop reusable components, templates, and best practices while collaborating with product managers, CAD/CAE specialists, customers, and end users. Support roadmap definition, customer feedback, adoption, training, and technical architecture.

Lead technical pre-sales on strategic accounts across DACH & Nordics: run discovery, define AI transformation roadmaps, deliver client-tailored demos and Statements of Work, grow the regional SE team, and partner with Sales, FDE, Product and R&D to close and scale multi-year engagements.

Own enterprise customer deployments from architecture through go-live and steady-state operation. Integrate the platform with identity, data, engineering systems, infrastructure, and model-serving layers across cloud, on-premises, air-gapped, GPU, and HPC environments. Partner with customer IT and security teams, troubleshoot complex incidents, create runbooks and post-mortems, and provide deployment feedback to Product. Travel within Europe and support customer operating hours.

Own enterprise customer deployments from architecture through go-live and ongoing operations. Integrate the platform with identity, data, engineering, infrastructure, and model-serving systems across managed Kubernetes, cloud, on-premises, air-gapped, GPU, and HPC environments. Lead security reviews, troubleshoot complex infrastructure issues, support customers, create operational documentation, and feed deployment insights into Product.

Chief Marketing Officer responsible for defining Neural Concept’s AI for Engineering category, positioning, product narrative, global growth strategy, pipeline generation, and marketing operating model. Leads an international specialist team across product marketing, brand, communications, digital, operations, creative, partner, and field marketing. Owns enterprise go-to-market strategy, ABM, demand generation, category creation, marketing budget, organizational design, executive alignment, and market engagement across the US and Europe.

Manage U.S. HR operations across onboarding, employee changes, offboarding, benefits, payroll coordination, 401(k) administration, policies, and compliance. Lead full-cycle recruiting for technical and business roles through proactive sourcing and close hiring-manager partnership. Maintain accurate HR and recruiting records, monitor pipelines, and report hiring metrics in a fast-moving international technology scaleup.

Own and develop production-grade CAE simulation workflows, validation benchmarks, and solution assets for automotive crash and safety analysis and consumer electronics durability testing. Automate preprocessing, solver execution, post-processing, and optimization using Python and leading FEA tools. Partner with Product and Engineering to shape simulation platform capabilities, validate workflows, and communicate technical requirements to customers and non-specialist stakeholders.

Provide high-level executive support to the CRO and manage day-to-day Munich office operations: calendar and travel management, meeting prep, event coordination, invoice and expense processing, vendor and facilities liaison, and administrative issue resolution.

As VP of Engineering, you will lead a high-performing software engineering team, ensuring quality delivery, structuring the organization, establishing modern processes, and collaborating closely with leadership and clients.

As an ML Application Engineer, you'll analyze engineering data, develop ML solutions, and train customer teams for AI adoption, working closely with engineering clients to enhance product design workflows using advanced technologies.

Own full enterprise sales cycle for Engineering AI platform in Sweden, building territory strategy, generating pipeline, leading multi-stakeholder deals, creating business cases, negotiating contracts, and coordinating cross-functional teams to close and expand strategic accounts.

Drive pre-sales and account technical strategy for Neural Concept's Engineering AI platform: lead discovery, craft tailored demos, define technical roadmaps and SOWs, run steering committees, drive adoption and expansion, and collaborate with Sales, Forward Deployed Engineering, Product and R&D. Requires engineering credibility and fluency in Korean and English.

Drive the full pre-sales technical motion: discover customer needs, design AI-enabled engineering solutions, deliver tailored demos and Statements of Work, guide account technical strategy, support adoption and expansion, and collaborate with sales, delivery, and product teams to align roadmap and deployments.

Own full enterprise sales cycle for Engineering AI platform: prospecting, account strategy, discovery, negotiation, closing, and expansion. Build relationships with engineering, IT, procurement, and executives; coordinate cross-functional teams; create business cases and commercial proposals; maintain pipeline and forecasts; represent company at customer meetings and events.

Sell an Engineering AI platform to enterprise engineering-led companies. Own full sales cycle from prospecting to closing, build account strategies, engage stakeholders across engineering, IT and executives, create business cases, lead negotiations, coordinate cross-functional teams, maintain pipeline and represent the company at events.

Lead pre-sales technical engagements for an Engineering AI platform: run discovery, craft demos, define technical roadmaps and SOWs, drive adoption and expansion, and liaise between Sales, Forward Deployed Engineering, Product and R&D to translate engineering workflows into AI-enabled solutions.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.

The role involves engaging with customers, translating insights into product requirements, and collaborating across departments. The candidate should have engineering experience and strong product instincts to manage a product discovery process.

Own revenue forecasting, GTM analytics, RevOps tech stack, and sales process design. Partner with Finance and Sales to build commercial infrastructure, drive forecasting accuracy, automate workflows, and deliver executive-ready insights to improve pipeline velocity and revenue outcomes.