Head of AI Engineering (MFD)

Your missions

Were looking for a Head of AI Engineering to lead JobTeasers AI chapter and make it real.

This is a new role. Were creating it now because we believe AI is not a feature add-on or a productivity tip. Its a structural shift in how a tech company works and builds products. For the first time were putting real budget a dedicated team and full exec commitment behind it. The bar weve set for ourselves is simple: if in six months our teams still work the way they do today weve failed.

You will manage 3 people: 2 ML Engineers building AI into our product and 1 AI & Automation Evangelist driving how our 200 colleagues use AI in their daily work. Two distinct mandates one shared goal. Youll report directly to the CTPO and be the person who turns our AI ambition into something people can actually feel.

What youll do

Own the AI vision

• Define and maintain JobTeasers AI blueprint across both dimensions: AI embedded in our product (matching guidance student experience) and AI transforming how our internal teams work.

• Partner with every department to translate ambition into a sequenced realistic plan not a slide deck.

• Set the success standard track it honestly and report progress to the CTPO with a clear picture of whats working and what isnt.

• Keep the strategy connected to what our users and colleagues actually need not just what the technology makes possible.

Lead and grow the team

• Be the direct manager of 2 ML Engineers and 1 AI & Automation Evangelist.

• Run regular 1:1s give honest feedback and actively support each persons development.

• Be the technical anchor your ML engineers can look up to someone whose engineering judgment they respect not just someone who manages their tickets.

• Create the conditions for each team member to go further than they would alone.

Drive internal AI adoption

• Work hand in hand with the AI & Automation Evangelist to design and roll out a real internal transformation not a series of isolated use cases but a genuine shift in how people work.

• Engage managers first teams second. You know how change actually happens inside organizations.

• Identify with department heads where AI creates the most leverage then make it happen.

• Track adoption honestly: active users workflows changed time saved. No vanity metrics.

Ship product AI and stay hands-on

• Oversee the two ML Engineers on product-facing features: recommendations matching student-facing AI tools.

• Stay close enough technically to review architecture decisions challenge model choices and contribute directly when the team hits a hard problem.

• Youre not expected to write most of the code but you can. When a key prototype needs a second pair of hands or a critical architecture call needs to be made youre there.

• Keep your technical judgment sharp: you know what current models can and cant do you have opinions on infrastructure trade-offs and you bring that into every important decision.

Qualifications :

Technical skills

• Strong ML and AI background: youve built and shipped models in production not just run notebooks.

• Solid command of Python and modern AI tooling: LLMs fine-tuning RAG architectures vector databases ML pipelines and deployment.

• Hands-on experience integrating LLM APIs into real products you know what production-ready actually means.

• You can review code challenge architecture choices and contribute directly when the situation calls for it.

Soft skills and mindset

• Youve managed technical teams and know what it takes to make an engineer grow not just perform.

• You have real change management experience: youve shifted how people work not just what tools they use.

• You communicate clearly at every level exec presentation or engineering standup you adjust without losing substance.

• Youre comfortable with ambiguity: this role is new the playbook doesnt exist yet and youre okay being the one who writes it.

• You earn trust from strong IC engineers through technical credibility and from the rest of the company through clarity and follow-through.

Background

• 6 to 10 years of experience combining hands-on technical work (ML engineering AI systems software engineering) with team leadership.

• Engineering degree or equivalent with a strong specialization in AI ML or Data.

• Fluent in French and English.

• You stay on top of the AI ecosystem you bring the information you dont wait for it.

Additional Information :

At JobTeaser get ready to

• Join a mission-driven company with a concrete impact on the new generation.
• Share our three core virtues with our people all over Europe: #Committed #OneTeam #DrivEn.
• Take part in a dynamic internal life where everyone can contribute (all-hands local parties team drinks team-buildings etc.).
• Grow and develop your career with a strong training policy including an annual individual budget for learning opportunities (95% of our employees were trained last year!).
• Enjoy our flexible work environment: remote-friendly with one month per year from anywhere in Europe and home office equipment support. Some positions can even be fully remote.
• Benefit from our Family Care Policy: 4 additional paid days off during your return month from parental leave 3 paid child-sick days per year and other initiatives to support parents.
• Take care of your mental health with Moka Care: 4 free therapy or coaching sessions per year (with additional support in challenging personal situations) plus regular workshops for managers in partnership with Moka Care and Alan.
• Make your voice count: our Take Care Survey (run twice a year) ensures employee feedback directly shapes JobTeasers culture collaboration and cross-team work.
• Protect your focus time with our No-Meeting Wednesday mornings initiative.
• Collaborate closely with our CSE actively involved in enhancing work life and benefits (with the HappyPal platform)
• Enjoy the essentials: RTT health insurance lunch vouchers holiday bonus and 50% public transport reimbursement.
• A modern and well-located office at WeWork - including delicious barista coffee and free yoga lessons.
• Be proud: 88% of our employees say they are proud to work in their team at JobTeaser (Internal Take Care Survey November 2024).

Your hiring process and the next steps

In order to identify the perfect fit for us (and also for you!) we offer a comprehensive hiring process with the possibility to get to know all your future key team members and between each step of your process you will receive constructive feedback from our Talent team.

1. A 30-min screening call to get to know you better with Emilie our Lead Technical Recruiter
2. An interview with your future manager to discuss about your experiences and motivations
3. A Use Case interview with the team to test your hard skills
4. A final round with your Department Head to confirm the mutual match
5. Welcome at JobTeaser

We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique pre-established competency-based process.

Remote Work :

No

Employment Type :

Full-time