Solution Engineer - US

About the role

The Solution Engineer sits at the intersection of engineering credibility and strategic influence. The role involves connecting a VP's business challenge to a concrete, well-scoped AI solution, and knowing Neural Concept's platform and roadmap well enough to make that connection land with confidence.

Responsibilities

• Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs
• Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded
• Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision
• Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision
• Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows
• Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes
• Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge
• Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals
• Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities

Requirements

• You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI
• You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood
• You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations
• You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back
• You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes
• You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices
• You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting
• You are fluent in English

Qualifications

• Candidates who bring the following will be able to take on a wider scope and go deeper with the most technically complex accounts:
• You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation
• You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment
• You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect
• You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools

Skills

• Naturally curious and people-driven
• Proactive and commercially driven
• A confident challenger
• An outstanding communicator
• Understand AI and machine learning applied to engineering at a conceptual level
• Strong programming skills (Python)
• Deep simulation experience
• Ability to build end-to-end engineering workflow demos

Benefits

• Work with a world-class technology team
• Benefit from a competitive salary and rewarding opportunities as we continue to scale
• Thrive in a collaborative, multicultural environment where your work is visible and recognized
• Develop professionally alongside talented colleagues who share knowledge freely and support one another
• Make a global impact by helping clients shift to AI-assisted design, making innovation faster, smarter, and more sustainable
• Balance life and work with a hybrid model and flexible hours. We care about results, not rigid schedules

Pay

Competitive salary and rewarding opportunities as we continue to scale

Schedule

Hybrid model and flexible hours