eRetail Engineering Manager / AI-Driven Delivery

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.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

• The work we do and the innovation we drive
• Our values of share, care and dare
• A workplace culture that fosters creativity, diversity and autonomy
• Our borderless, global framework, which enables seamless collaboration

The context

Valtechis a strategicpartner for this client, responsible for the design, delivery, and operation of large-scale digital platforms acrosseRetail and Retail.

Havingindustrialized e-commerce delivery at scale, the engineering organizationnowneeds a leader who can bothrun the factory — owning engineering and track the Delivery onquality, production performance day to day — and drive AI as a coreacceleration leveracross the engineering value chain:developerproductivity, code quality, testing, and production operations.

This is not primarily a governance or transformation-program role. It is an engineering leadership rolewith direct deliveryaccountability, where AI adoption is a strategicpriorityembedded in how the factoryoperates, not a parallel initiative.

The role

Reporting to the ValtechClient Partner andValtechDirectorsfor this client, you own and lead engineering deliverywithin the client eRetailfactory —buildquality, deliverypredictability, and production reliability — whiledriving the adoption of AI-native tooling and practices to accelerate engineering throughput and quality.

Act as the direct engineering leader for the factory, withhierarchical and operationalaccountability for the engineering teams (France/India), and as the AI adoption lead within engineering, in coordination with the AI Transformation Program Manager on cross-domain initiatives.

Key Responsibilities

Engineering & Delivery Ownership

• Own end-to-end engineering delivery for the eRetailfactory:Technical roadmap, code quality standards, and release predictability.
• Manage and grow a distributed engineering organizationacrossFrance ; Ukraine and India, includinghiring, mentoring, and careerdevelopment.
• Ensuredelivery cadence, quality, and reliabilitymeet Louis Vuitton's business and seasonal (peak) requirements.
• Own the relationshipbetween engineering and the Agile Operating Model, Quality & Testing, and Production & Support pillarsfroman engineering standpoint.

AI-Driven Engineering Acceleration

• Define and drive the AI adoption roadmap specificallywithinengineering: AI-assisteddevelopment, code review, refactoring, and technicaldebtreduction.
• 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 continuousimprovement in engineering practices: CI/CD maturity, test automation, technicaldebt management, incident reduction.
• Own engineering-sideKPIs: cycle time, code quality, defect rate, deploymentfrequency, and engineering costefficiency.
• Ensuresmoothbuild-to-run transitions withclearownershiphandoff to Production & Support.

Governance & Stakeholder Management

• Represent engineering delivery and AI-in-engineering progress in relevant SteerCos and deliveryreviews.
• Provideclear, structuredreporting on engineering KPIs, AI adoption progress, risks, and dependencies.
• Escalatedelivery or technicalrisksearlywithconcrete, execution-ready mitigation plans.

Team Leadership

• Directlymanage engineering leads across the factory;buildtechnicalcareerpaths and succession within the team.
• Foster an engineering culture where AI tooling adoption is a shared practice, not an isolated initiative.
• Ensureconsistency of engineering standards, tooling, and documentation acrosssquads.

Organization & Role Positioning

You are a direct engineering leaderwithhierarchicalaccountability for the factory's engineering organization, distinct from the transversal, authority-by-influence positioning of the broader AI Transformation & Operational Excellence role.

• Owns engineering deliveryoutcomesdirectly — not solelythrough influence.
• Coordinateswith the AI Transformation Program Manager on cross-pillar AI initiatives, but owns AI adoption within engineering specifically.
• Success ismeasured by deliverypredictability, code/production quality, and AI-drivenproductivity gains within engineering.

Must have hardskills

• Proven track record leading engineering organizations at scale (20+ engineers), with direct deliveryaccountability.
• Demonstratedexperiencedriving AI-assisteddevelopment or AI-native engineering practices into standard use, not just pilots.
• Experiencemanagingdistributed engineering teams (France/India or equivalent onshore/offshore model).
• Strong understanding of e-commerce, retail, or omnichannel platform architectures.
• Hands-on technicalcredibility — able to make and defend architecture and technicaltrade-off decisions.
• Fullybilingual French/English ismandatory.

Must have softskills

• Engineering leader whoisboth hands-on and strategic — comfortableowningtechnicaldecisions and reporting to executive stakeholders.
• Clear, structuredcommunicator able to simplifytechnicalcomplexity for non-technical audiences.
• Pragmatic, delivery-focused, with a bias for measurableoutcomes over experimentation for itsownsake.
• Strong people leadership — provenability to grow and retain engineering talent.
• Comfortable operating in a demanding, peak-drivenretaildeliveryenvironment.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

Commitment to reaching all kinds of people

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

The benefits

This is a permanent position based in Paris/France with 3 days at the client’s office (Paris, 75002).

Beyond a competitive compensation package, 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

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

Your 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.

About Valtech

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.

Are you ready to create what’s next? Join us.

As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.