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VP of Engineering

Neural Concept· Product
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Hybrid (Lausanne)Full-timePosted 9mo ago

About the role

Senior engineering leader responsible for building, scaling, and operating a high-performing software engineering organization to reliably deliver Neural Concept’s product and technology roadmap, while scaling teams, processes, and culture.

Responsibilities

  • 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
  • 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, quality 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 with Product, Research, Deployment, and Leadership; Represent engineering in cross-functional and customer-facing discussions; Act as a key partner to the CTO, providing signals on execution, risk, and org health

Qualifications

  • 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 delivering in fast-growing, low-process environments
  • Strong technical credibility - Broad understanding of modern software architecture, infrastructure, and security; Deep understanding of modern AI technology for software engineering; Ability to engage deeply with engineers on design, trade-offs, and reliability; Comfortable operating in AI- and data-intensive product environments
  • Product mindset and pragmatism - Balance speed, quality, and long-term sustainability; User-first and product-minded; Calm decision-making under pressure; Outcomes-focused, 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 in high-uncertainty environments

Skills

Required:Engineering leadership at scaleSoftware architectureAI in software engineering

Benefits

  • Competitive salary
  • Rewarding opportunities as we scale
  • Collaborative, multicultural environment where work is visible and recognized
  • Professional development with knowledgeable colleagues
  • Global impact by helping customers shift to AI-assisted design
  • Hybrid model and flexible hours with focus on results
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Neural Concept

The leading AI-first engineering platform for product development

The leading AI-first engineering platform for product development

AIengineeringproduct developmentsimulationCADmultipysicsperformance
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