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.
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
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
Customers adopt NC into daily engineering workflows
Engineering champions become internal advocates for Engineering AI transformation
Renewals and expansions are earned through value
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
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
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)
Based in the UK (Midlands preferred, with flexibility)
30% travel required (UK & EMEA)
