About the Role
As VP of Engineering, you will be responsible for building, scaling, and operating a high-performing software engineering organization capable of reliably delivering Neural Concept’s ambitious product and technology roadmap.
You will turn product vision into software reality, while ensuring our teams and culture scale sustainably — in quality, velocity, and people development.
What you will do
Own engineering execution and delivery
Ensure predictable, high-quality delivery across product and platform initiatives
Translate product and technical strategy into realistic plans, milestones, and commitments
Identify risks early and manage trade-offs transparently
Structure the engineering organization
Evolve team structures, ownership boundaries, and collaboration models as we scale
Build and coach engineering managers and tech leads
Continuously adapt the organization to match company growth
Build strong and modern engineering processes
Establish lightweight, effective development processes that scale without bureaucracy
Leverage the best of AI technologies to amplify our impact while maintaining small, agile teams
Define and track the right engineering metrics
Guarantee technical quality, reliability, and security in practice
Partner with the CTO to uphold architectural principles and long-term technical health
Drive pragmatic approaches to technical debt, qulity testing, and operational excellence
Collaborate with GTM and deployment teams to guarantee smooth, secure deployments across diverse customer scaling scenarios
Collaborate closely with leadership and customers
Work together with Product, Research, Deployment, and Leadership
Represent engineering in cross-functional and customer-facing discussions
Act as a key partner to the CTO, providing clear signals on execution, risk, and org health
Who you are
You are a senior engineering leader who combines strong technical judgment with operational excellence and a deep understanding of how organizations scale. You are product-minded, pragmatic, think in systems and understand how outcomes derive from how people work together.
Proven experience leading software engineering organizations at scale
Experience scaling teams, at least x2 and 50+ engineers
Experience managing managers and tech leads
A track record of managing delivery in fast-growing, low-process environments
Strong technical credibility
Broad understanding of modern software architecture, infrastructure, and security
Deep understanding about modern AI technology for software engineering
Ability to engage deeply with engineers on design, trade-offs, and reliability
Comfort operating in AI- and data-intensive product environments
Product mindset and pragmatism
Ability to balance speed, quality, and long-term sustainability
User-first and product minded
Calm decision-making under pressure
Outcomes-focused, and not perfectionist
A people-first leadership mindset
High empathy and strong communication skills
Commitment to growing others and building healthy teams
Drive and ownership
Willingness to take responsibility and make hard calls
Track record of inspiring others and building confidence in high-uncertainty environments
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 customers 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.
Top Skills
What We Do
Neural Concept is revolutionizing engineering with AI.
We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day.
Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers.
Neural Concept is backed by Forestay Capital and the D.E. Shaw group.







