AI Enablement Manager
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against AI Enablement Manager at Powerdot. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
- Location: Portugal, mandatory Lisbon or Porto
- Work regime: hybrid, 4 days office, 1 remote
- Language: English mandatory
Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.
If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.
How You’ll Shape Our Story:
Powerdot is building the structure that turns an AI vision into daily reality across the organisation. We have aligned on the destination: every person using AI in their daily work, all purely executional work automated, operations built with AI integrated. What we need now is the person who enables people, team by team, week by week. The AI Enablement Manager is the operational owner of AI adoption at Powerdot. You will run the enablement programme, build and manage the AI Champions network across departments, and ensure every team reaches the point where they can build, own, and maintain their own AI workflows independently. What you will own:
Enablement programme
- Design and run role-specific enablement sessions for each department (not generic workshops, but sessions tailored to how that team actually works)
- Manage the rollout sequencing across teams in coordination with the AI Strategy leads
- Track team maturity from v0 (hands-on guided) to v1 (self-sufficient) to v2 (championled)
AI Champions programme
- Train and develop AI Champions per department
- Build Champions into the internal experts their teams rely on
- Run regular Champions cadence: shared learning, new use cases, tooling updates
Request triage and governance
- Triage every AI request from across the organisation: workflow automation, knowledge and assistant use cases, scripting, or escalation to Engineering or the Data platform
Impact measurement
- Track and report adoption metrics: weekly active usage, time saved per team, selfsufficiency ratio (team-built vs. centrally built use cases)
- Own the monthly impact report accessible to the entire company
Coordination with Engineering
- Work with the AI engineering team to unblock obstacles and build new tooling for internal and external tools integration
- Ensure what Engineering builds gets properly documented, trained on, and handed over to teams
This Is About You, Not Us 🫵🏼:
- Previous experience in training, programme management, or internal consulting in a tech-forward environment
- Demonstrable ability to run structured workshops and facilitate adoption of new tools or processes across diverse teams
- Technical literacy sufficient to understand how AI assistants, workflow automation, and MCP integrations work. You do not need to build them, but you need to speak credibly to engineers and to Operations managers in the same week
- Strong written and verbal communication in English and Portuguese; confidence in front of a room
- Structured thinker: able to assess a messy request, identify the right tool or escalation path, and explain that decision clearly
- Self-directed: you will define the week's priorities, not wait for them
- Bonus: Hands-on experience with OpenWebUI, n8n, or MCP integrations; knowing how to build and distribute skills and tools for AI assistants tailored to specific use cases; or familiarity with concepts like model memory and observability (e.g. Langfuse) will give you a significant head start.
The Kind of Energy We’re Looking For:
- We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
Ready to apply?
This job is active. Apply now to get in early.