Jobs at Neural Concept

Own the full enterprise sales cycle across engineering-driven companies in India, from prospecting and qualification through negotiation, closing, and account expansion. Develop territory and account strategies, generate opportunities, build executive relationships, create value-based business cases, coordinate cross-functional teams, manage forecasts, and lead complex sales cycles involving engineering, IT, procurement, and senior executives. The role requires enterprise software sales experience and technical credibility with engineering customers.

Own the full enterprise sales cycle for Neural Concept’s Engineering AI platform in Japan. Responsibilities include territory and account planning, prospecting, executive outreach, stakeholder relationship building, opportunity qualification, business case development, negotiation, closing, pipeline forecasting, and account expansion. The role coordinates cross-functional teams through complex sales cycles involving engineering, IT, procurement, and senior executives, while representing the company at customer meetings and industry events.

Own the full enterprise sales cycle across strategic engineering-focused accounts in Korea, from prospecting and qualification through negotiation, closing, and expansion. Build territory strategies, executive relationships, business cases, forecasts, and pipelines while coordinating solution engineering, product, and leadership teams. Sell AI-driven engineering software to automotive, aerospace, high-tech, electronics, and advanced manufacturing customers through complex, multi-stakeholder engagements.

Run customer projects involving engineering data analysis, machine-learning and deep-learning workflows, and tailored solutions using Neural Concept’s platform and Python libraries. Develop proofs of concept for CAD, CAE, and manufacturing applications, train customer teams, and translate customer feedback into product improvements. The role combines engineering expertise, applied AI, simulation, and customer-facing technical delivery.

Develop and own technology and product narratives for Neural Concept’s AI platform, translating complex engineering concepts into messaging, positioning, content, demos, and value stories for enterprise audiences. Collaborate with Product, Engineering, Sales Enablement, Design, Marketing, and leadership to support go-to-market initiatives, new industries, and use cases. The role requires technical depth, strong storytelling, autonomous execution, and experience marketing complex B2B or deep-tech products.

Own and improve internal CAD/CAE engineering environments, including software, licenses, configurations, compute infrastructure, and vendor resources. Support product and vertical engineers by scripting, automating, troubleshooting, and maintaining reproducible workflows. Manage shared HPC and license capacity, monitor utilization and costs, and integrate CAD, PLM, CAE, and compute systems for simulation workloads.

Deploy and operate Neural Concept’s AI platform in enterprise customer environments, from architecture through go-live and steady-state support. Integrate 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 cross-system issues, create runbooks and post-mortems, and feed deployment insights into Product. The role requires customer-facing communication, production deployment ownership, and travel to U.S. customer sites.

Build and ship a production capability connecting engineering designs with requirements, design rules, manufacturing and assembly constraints, and cost data. Develop Python software, LLM and agent pipelines, document extraction, enterprise integrations, traceable data models, evaluation metrics, and human-in-the-loop review workflows. Collaborate directly with product managers, solution engineers, and customer engineering teams from discovery through production deployment.

Own full-cycle go-to-market recruiting for sales, solution engineering, customer success, forward-deployed engineering, and marketing roles. Partner with hiring managers, source candidates using AI tools, manage pipelines and reporting in Ashby, deliver strong candidate experiences, close offers, and improve recruiting processes. The role focuses mainly on US hiring while supporting global searches across the US and Europe.

Own the full enterprise sales cycle for strategic engineering and AI software customers, from prospecting and qualification through negotiation, closing, and expansion. Develop territory and account strategies, build executive relationships, create value-based business cases, coordinate cross-functional teams, manage pipelines and forecasts, and lead complex sales involving engineering, IT, procurement, and senior executives. The role targets automotive, aerospace, defense, high-tech, electronics, and advanced manufacturing companies.

Implement customer projects using Python, machine learning, and deep-learning tools for engineering, physics, CAD, CAE, and manufacturing workflows. Develop proofs of concept, analyze project data, train customer teams, and translate customer feedback into product improvements. The role requires strong engineering and machine-learning knowledge, simulation experience, customer-facing communication, and travel to US customer locations.

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.

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.

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.