eRetail Engineering Manager - AI-Driven Delivery

Valtech; Paris; Hybrid; EUR 140,000 - 200,000; Full time

Benefits offered by this job

Remote and hybrid work options (region

International mobility and development

Professional development programs

Job summary

Valtech is seeking an eRetail Engineering Manager / AI-Driven Delivery to lead a high-impact factory across France and offshore sites. You will own engineering delivery, drive AI adoption inside engineering, and ensure production reliability for large-scale digital platforms in retail.

The role requires hands-on technical credibility, strong leadership, and bilingual French/English communication. You will report to client partners, collaborate with cross-functional teams, and drive measurable

Qualifications

• Proven track record leading engineering organizations at scale (20+ engineers).
• Experience driving AI-assisted development or AI-native engineering practices into standard use.

Responsibilities

• Own end-to-end engineering delivery for the eRetail factory, including roadmap, code quality, and release predictability.
• Manage and grow a distributed engineering org across France, Ukraine and India, including hiring and career development.
• Ensure delivery cadence, quality, and reliability meet business and seasonal requirements.
• Own the relationship between engineering and Agile Operating Model, Quality & Testing, and Production & Support from an engineering standpoint.
• Define and drive the AI adoption roadmap within engineering, including AI-assisted development and refactoring.
• Promote AI-native architectures and MLOps practices for eRetail platforms.
• Drive CI/CD maturity, test automation, and reduction of technical debt.
• Report progress in SteerCos and delivery reviews with concrete mitigation plans.
• Directly manage engineering leads and foster an AI-sharing culture across squads.

Skills

Engineering leadership

Delivery leadership

AI adoption

MLOps

Distributed teams

E-commerce / Retail

French/English bilingual

CI/CD tooling

Tools

CI/CD tooling

Job description

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

Why Valtech?We’retheexperienceinnovation company-atrusted partnerto the world’s most recognized brands. To our people we offergrowth opportunities,avalues-driven culture,internationalcareersand 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, careand dare
• A workplace culture that fosters creativity, diversity and autonomy
• Our borderless, global framework,which enablesseamless collaboration

The context

Valtech is a strategic partner for this client, responsible for the design, delivery, and operation of large-scale digital platforms across eRetail and Retail.

Having industrialized e-commerce delivery at scale, the engineering organization now needs a leader who can both run the factory — owning engineering and track the Delivery on quality, production performance day to day — and drive AI as a core acceleration lever across the engineering value chain: developer productivity, code quality, testing, and production operations.

This is not primarily a governance or transformation-program role. It is an engineering leadership role with direct delivery accountability, where AI adoption is a strategic priority embedded in how the factory operates, not a parallel initiative.

The role

Reporting to the Valtech Client Partner and Valtech Directors for this client, you own and lead engineering delivery within the client eRetail factory — build quality, delivery predictability, and production reliability — while driving the adoption of AI-native tooling and practices to accelerate engineering throughput and quality.

Act as the direct engineering leader for the factory, with hierarchical and operational accountability 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 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 pilla rs 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.

Organization & Role Positioning

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

• Owns engineering delivery outcomes directly — not solely through influence.
• Coordinates with the AI Transformation Program Manager on cross-pillar AI initiatives, but owns AI adoption within engineering specifically.
• Success is measured by delivery predictability, code/production quality, and AI-driven productivity gains within engineering.

Must have hardskills

• 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 softskills

• 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.

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.

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.

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.