eRetail Engineering Manager / AI-Driven Delivery

About the Position

eRetail Engineering Manager / AI-Driven Delivery (all genders)

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

Responsibilities

Engineering & Delivery Ownership

• Own end-to-end engineering delivery for the eRetail factory: Technical roadmap, code quality standards, and release predictability.
• Manage and grow a distributed engineering organization across France, Ukraine, and India, including hiring, mentoring, and career development.
• Ensure delivery cadence, quality, and reliability meet Louis Vuitton's business and seasonal (peak) requirements.
• Own the relationship between engineering and the Agile Operating Model, Quality & Testing, and Production & Support pillars from an engineering standpoint.

AI-Driven Engineering Acceleration

• Define and drive the AI adoption roadmap specifically within engineering: AI-assisted development, code review, refactoring, and technical debt reduction.
• Promote AI-native architectures and MLOps practices where relevant to eRetail platforms.
• Move AI-assisted engineering practices from pilot to standard practice across all squads - measured by adoption and productivity impact, not by number of POCs.
• Partner with the AI Transformation Program Manager to align engineering-level AI initiatives with the broader cross-pillar AI transformation roadmap.

Operational Excellence & Production Reliability

• Drive continuous improvement in engineering practices: CI/CD maturity, test automation, technical debt management, incident reduction.
• Own engineering-side KPIs: cycle time, code quality, defect rate, deployment frequency, and engineering cost efficiency.
• Ensure smooth build-to-run transitions with clear ownership handoff to Production & Support.

Governance & Stakeholder Management

• Represent engineering delivery and AI-in-engineering progress in relevant SteerCos and delivery reviews.
• Provide clear, structured reporting on engineering KPIs, AI adoption progress, risks, and dependencies.
• Escalate delivery or technical risks early with concrete, execution-ready mitigation plans.

Team Leadership

• Directly manage engineering leads across the factory; build technical career paths and succession within the team.
• Foster an engineering culture where AI tooling adoption is a shared practice, not an isolated initiative.
• Ensure consistency of engineering standards, tooling, and documentation across squads.

Requirements

Must Have Hard Skills

• Proven track record leading engineering organizations at scale (20+ engineers), with direct delivery accountability.
• Demonstrated experience driving AI-assisted development or AI-native engineering practices into standard use, not just pilots.
• Experience managing distributed engineering teams (France/India or equivalent onshore/offshore model).
• Strong understanding of e-commerce, retail, or omnichannel platform architectures.
• Hands-on technical credibility - able to make and defend architecture and technical trade-off decisions.
• Fully bilingual French/English is mandatory.

Must Have Soft Skills

• Engineering leader who is both hands-on and strategic - comfortable owning technical decisions and reporting to executive stakeholders.
• Clear, structured communicator able to simplify technical complexity for non-technical audiences.
• Pragmatic, delivery-focused, with a bias for measurable outcomes over experimentation for its own sake.
• Strong people leadership - proven ability to grow and retain engineering talent.
• Comfortable operating in a demanding, peak-driven retail delivery environment.

We Offer

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training, and industry experts

About the Company

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow, and innovate.

Application Process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.