USASolution Engineer - US, West Coast
1 мес. назад
USAHybrid
Serve as a trusted advisor connecting engineering and strategic business challenges with AI platform solutions in a hybrid role on the US West Coast.
Обязанности
- As a Solution 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 '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
Требования
- 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.
Будет плюсом
- 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)
Условия
- 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
Другое
- Location: Bay area preferred
- Employment type: Full-time
- Working model: Hybrid
- Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows.
- builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight.
- We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us.
- 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