AI Enablement & Adoption Coordinator
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Sep 10, 2026.
At Zembl, we didn’t adopt AI. We hired it.
We already have 32 AI colleagues on our org chart, each with a name, a manager and KPIs. Now we’re looking for someone to help make sure they actually land well with the humans working alongside them.
About Zembl
Zembl saves businesses time and improves their bottom line. Our long, strong industry relationships help businesses buy better energy. We have local experts who'll pick up the phone, have a chat and understand customer needs to take the legwork out of admin. Our simple digital platform and helpful people make admin easy, even pleasurable.
Purpose of the Role
We’re looking for an AI Adoption and Enablement Coordinator to join ZemLabs and help turn AI investment into behaviour change across the business, not just infrastructure.
You'll live inside our internal knowledge platform, Claude and ChatGPT day to day, and build real fluency in how MCPs, APIs and HumAIn agents work, enough to translate 'what ZemLabs built' into training and comms the rest of the business can act on.
What you’ll be doing
Working closely with our Head of ZemLabs, you’ll sit at the intersection of AI, people, enablement and adoption.
You’ll:
- Run ZemLabs Academy day-to-day, delivering content, tracking progress and helping increase AI adoption across Zembl
- Support the rollout of our internal AI knowledge platform, including training, communications and adoption tracking
- Help our teams understand and confidently use the AI tools and agents we’re building
- Act as the front door for the AI ideas Pipeline and Request Portal, triaging incoming requests before they reach discovery
- Coordinate our AI Ops Crew, a group of AI champions embedded across Sales, Retention, Operations, Marketing, Finance and Customer Success - scheduling, recording and actioning our monthly alignment sessions
- Maintain our AI Impact Dashboard, reporting on things like hours saved, workflows automated and improvements in cycle time
- Build your own understanding of LLMs, agents, MCPs, APIs, context and knowledge layers so you can translate technical concepts into something the wider business can actually use
Who we’re looking for
This is a hands-on early career seat for someone that is genuinely curious about AI, the kind of person who already plays with Claude, ChatGPT, or agent tools in their own time; and wants the opportunity to make it a bigger part of their career.
You’ll probably be someone who:
- Is a natural coordinator, comfortable being the one who chases follow-ups and keeps a recurring cadence on track
- Has a solid grasp of how LLMs actually work: what a context window is, why token usage matters, and why 'the AI doesn't know that' is usually a knowledge-layer problem, not a magic problem
- Understands how knowledge layers and context building work in AI systems generally, regardless of the specific platform, well enough to explain it to someone who's never touched an AI tool
- Is naturally organised, communicates confidently, eager to learn and comfortable being coached
- Has the curiosity to ask why something works rather than just accepting that it does
Why Zembl?
We move quickly, challenge the way things have always been done and give people the opportunity to genuinely own their work.
Within ZemLabs, you’ll be joining a team that isn’t just talking about what AI might do in the future. We’re already building it into how our business operates today. This role gives you the opportunity to get incredibly close to that work, learn from people building AI solutions every day, and help shape how an entire business adopts them.
We also know there’s more to a great place to work than the work itself. As a Zemblr, you’ll enjoy:
- A hybrid working environment with the opportunity to work from anywhere for up to 20 days of the year.
- Additional leave including wellness days, volunteer days and Christmas shutdown leave.
- Monthly Uber Eats allowance and daily barista coffee.
- Plenty of opportunity for internal rewards, bonuses and recognition.
If you’re early in your career, already obsessed with AI and looking for somewhere you can turn that curiosity into real experience, we’d love to hear from you.