At a Glance
- Tasks: Transform engineering workflows with AI-driven simulation and support leading product companies.
- Company: Join Neural Concept, a pioneer in Engineering AI for innovative design.
- Benefits: Competitive pay, flexible hours, hybrid work model, and growth opportunities.
- Other info: Collaborative culture with strong technical talent and direct client exposure.
- Why this job: Be at the forefront of engineering innovation and make a real impact.
- Qualifications: Engineering degree and experience in customer-facing roles within engineering software.
The predicted salary is between 60000 - 80000 £ per year.
About Neural Concept
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. Neural Concept 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, Consumer Tech, 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.
About The Role
Engineering simulation is about to change fundamentally — and you will be the person who makes that change real for the world's leading product companies. As a Technical Account Manager, you will be on the front lines of deploying AI-driven simulation into live CAE workflows: not as a demo, but as a tool that engineers reach for every day. Working closely with Sales, you will drive the acquisition of new customers and the expansion of existing accounts — acting as a trusted engineering advisor who bridges cutting-edge AI technology and the real-world demands of simulation engineers, design teams, and engineering leadership.
The foundation of this role is engineering credibility: you understand how CAE-driven design processes work, you speak the language of simulation engineers and designers, and you earn trust by understanding problems before proposing solutions.
You’ll Thrive In This Role If You Combine
- Ability to convince and inspire, backed by deep engineering expertise (CAD/CAE background)
- A natural curiosity for problem discovery and technical exploration
- Experience in engineering software sales or technical consulting
- Structured execution and a commercial mindset
What You'll Do
- Discover and scope high-value use cases
- Lead structured discovery sessions with engineering and simulation teams to identify where Neural Concept can create the most impact
- Define use cases with clear success criteria, scoping, and business justification
- Navigate technical complexity and ambiguity to turn exploratory conversations into actionable programs
- Drive customer adoption and expansion
- Build success plans tied to measurable business outcomes (time-to-market, iteration reduction, engineering capacity, quality)
- Plan and execute software demos, prepare tailored presentations
- Monitor usage and engagement, identify risks early, and lead expansion motions alongside Account Executives
- Enable engineering teams in real workflows
- Facilitate structured onboarding, technical deep-dives, and hands-on workshops to drive adoption and utilisation
- Translate Neural Concept capabilities into the customer's actual design and simulation workflows
- Lead technical project execution
- Coordinate with Application Engineers and R&D when deep technical delivery is required
- Be the voice of the customer
- Capture product feedback, usability issues, and feature requests
- Maintain a tight feedback loop with Product and R&D to influence roadmap priorities
- Communicate impact with clarity
- Report customer health, adoption milestones, and value realisation
- Present outcomes to engineering leaders and steering committees
Success In This Role Looks Like
- Customers adopt NC into daily engineering workflows
- Engineering champions become internal advocates for Engineering AI transformation
- Renewals and expansions are earned through value
Who You Are
- You have an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and hands-on experience with CAD/CAE tools and workflows
- You have experience in a customer-facing role within engineering software (sales, pre-sales, solutions consulting, technical account management) or engineering consulting
- You understand how simulation-driven design teams work and what slows them down
- You are genuinely curious: you enjoy exploring technical problems, asking good questions, and connecting engineering pain points to solutions
- You can communicate technical topics clearly to both engineers and executives
- You are proactive, structured, and comfortable navigating ambiguity
- You have a working understanding of AI and machine learning concepts applied to engineering and are keen to guide customers through this transformation
- You are comfortable with scripting or light programming (Python, etc.) at a functional level; deep software development is not expected in this role
Nice-to-Have Backgrounds
- Experience in engineering software vendors (Ansys, Altair, Siemens, Dassault Systemes, Autodesk, or similar)
- Engineering or technology consulting (Capgemini, Accenture, specialist CAE consultancies, etc.)
- Experience supporting enterprise accounts and multi-stakeholder programs
What You Get
- A role at the intersection of engineering, AI, and enterprise value creation
- Direct exposure to world-class client organizations and complex engineering challenges
- High ownership, autonomy, and visible impact
- A collaborative environment with strong technical talent
- Competitive compensation and growth opportunities as we scale globally
- Hybrid work model and flexible hours (results-focused culture)
Where You Will Be
Based in the UK (Midlands preferred, with flexibility). 30% travel required (UK & EMEA).
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
AI-Driven CAE Solutions Consultant in London employer: Neural Concept
At Neural Concept, we are at the forefront of engineering innovation, offering a dynamic work environment where AI transforms traditional workflows. Our collaborative culture fosters professional growth and encourages employees to tackle complex challenges alongside elite engineering teams. With competitive compensation, flexible working arrangements, and a commitment to diversity and inclusion, we provide an exceptional platform for those looking to make a meaningful impact in the engineering sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven CAE Solutions Consultant in London
✨Tip Number 1
Get to know the company inside out! Research Neural Concept and their AI-driven solutions. Understand their products, culture, and the challenges they face in engineering. This will help you tailor your conversations and show that you're genuinely interested.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to referrals. Plus, it shows you're proactive and engaged in the community.
✨Tip Number 3
Prepare for those interviews by practising common questions and scenarios related to CAE workflows. Think about how you can demonstrate your engineering expertise and problem-solving skills. Role-play with a friend to boost your confidence!
✨Tip Number 4
Don't forget to follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace AI-Driven CAE Solutions Consultant in London
Some tips for your application 🫡
Show Your Engineering Credibility:Make sure to highlight your engineering background and experience with CAD/CAE tools in your application. We want to see how you understand the simulation-driven design processes and can speak the language of engineers.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills align with the role. We love seeing candidates who can connect their experiences to the specific challenges we face in AI-driven simulation.
Be Curious and Problem-Solving:Show us your natural curiosity for problem discovery! In your application, share examples of how you've tackled technical challenges or explored new solutions in your past roles. We value candidates who are proactive and eager to learn.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Neural Concept
✨Know Your Engineering Stuff
Make sure you brush up on your CAD/CAE knowledge. Understand the latest trends in engineering simulation and AI applications. Being able to speak the language of simulation engineers will help you build credibility during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering problems in the past. Highlight your curiosity and ability to explore technical challenges, as this role requires a knack for discovering high-value use cases.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to convey ideas to both engineers and executives, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Demonstrate Your Customer-Facing Experience
Be ready to discuss your experience in customer-facing roles. Share how you've built relationships and driven adoption of engineering solutions, as this is crucial for success in the Technical Account Manager position.
