Neural Concept · Science
Solutions Engineer - US, West Coast
- San Francisco (Hybrid)
- Full-time
- Competitive
Still open on Neural Concept's site · checked 5 hours ago
- Education
- A degree
- Posted
What you'll do
As written by Neural Concept · Read the original
About the Role
As a Solutions Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence.
This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities.
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
Who You Are
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
Experience working with Consumer Electronics companies, and associated FEA workflows is preferred.
Nice-to-Have
Strategic or technical consulting background, executing digital transformations
Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk)
Background in ML/DL research or development in an engineering context
Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines)
Skills
Stack
- Python
Working languages
English
Salary & benefits
What You Get
Work with a world-class technology team. Our engineers are top-notch and we always aim for excellence
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
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.