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

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 o wn  and lead engineering  delivery   within the client eRetail   factory  — bu ild   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 :   T echnical  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.

Go vernance  & 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 professi