AI-First Adoption Lead
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
As an AI-First Adoption Lead, you will drive the company’s transition toward AI-powered ways of working. Your mission is highly execution-focused: helping both business and tech teams move from experimentation to real, embedded AI usage in their daily operations.
You will work cross-functionally with business teams (Marketing, Operations, Finance, HR, etc.) and closely with VPTech leadership to rethink processes, improve decision-making, and unlock new performance levers through AI.
You’ll also partner with the CAIO and CTO to operationalize the company’s AI ambition through trainings, hackathons, and structured adoption initiatives, while challenging and evolving engineering practices toward an AI-first model., * Drive AI adoption across business functions by identifying high-impact use cases and embedding them into daily workflows
- Help teams rethink their roles and processes from the ground up using AI (not just incremental improvements)
- Lead operational rollout of AI initiatives through workshops, trainings, hackathons, and coaching
- Translate strategic AI ambitions into concrete execution plans, rituals, and measurable outcomes
- Challenge existing processes with business owners (BPOs) and redesign workflows leveraging AI
- Partner with VP of Engineering to accelerate AI adoption in VPTech (AI-assisted coding, hiring, career paths, engineering practices)
- Facilitate AI literacy and build momentum through internal events and communities of practice
- Support leadership (CAIO, CTO) in structuring sustainable, long-term AI adoption across the organization
Requirements
- Strong experience driving AI adoption or digital transformation in organizations
- Hands-on mindset with a proven ability to move from strategy to execution
- Deep understanding of how AI can impact business processes and operating models
- Experience working cross-functionally with both business and technical teams
- Ability to challenge existing ways of working and drive change at all levels
- Strong facilitation skills (workshops, trainings, hackathons, stakeholder alignment)
- Familiarity with AI tools, use cases, and practical applications in business contexts
- Excellent communication skills with senior stakeholders (C-level, VP level), * Experience in AI-first or data-driven organizations
- Background in consulting, transformation, or innovation roles
- Exposure to engineering environments (AI-assisted development, product delivery, tech orgs)
- Experience designing learning programs or internal capability-building initiatives
- Strong understanding of operating model design and organizational change
- Previous collaboration with roles such as CAIO, CTO, or VP Engineering
- Experience scaling adoption across multiple teams or functions
Benefits & conditions
- Variable bonus;
- The dynamic and creative environment within international teams;
- The variety of self-education courses on our e-learning platform;
- Participation in meetups and conferences locally and internationally;
- Flexible Office with up to 2 days at home
About the company
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty… Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
How to Become an AI Engineer
Stephan Gillich - Bringing AI Everywhere
What Industries Outside of AI Are Hiring The Most AI Experts?