Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can.
Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them.
Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated £2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot.
We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started.
If you want to shape how the workforce wins in the AI era, come and join us.
What You’ll Do
- Build AI workflow automation. Design, build and ship AI-powered workflows that remove manual GTM work; from lead research and CRM enrichment to call analysis, personalised outreach and lifecycle automation. Own builds end to end, from problem definition through deployment, monitoring and iteration.
- Bridge gaps between systems. Find creative ways to connect tools that do not natively integrate. Build the webhooks, middleware, scripts and glue that keep data flowing cleanly between Salesforce and the rest of the stack.
- Solve multi-departmental integration challenges. Work across the boundaries of Marketing, Sales, Customer Success, Data and Finance to turn tangled, cross-functional processes into reliable, automated systems.
- Prototype, test and scale. Test new ideas at small scale, measure what works, and scale the versions that deliver. Bring a bias to ship a working prototype over a perfect specification.
- Build with AI as the default. Use LLMs, agentic workflows, MCP builds and evals as everyday tools. Ask “how would AI do this?” before reaching for headcount or manual effort.
- Own reliability. Treat what you build as production systems: instrument them, monitor them, handle failure gracefully, and reduce risk across the GTM tech stack.
- Evaluate and recommend. Run structured pilots of new tools, assess capability, integration fit, reliability and ROI, and make clear build-versus-buy recommendations.
- Set the standard. Document what you build, enable GTM teams to adopt it with confidence, and mentor others in the team on building with AI and automation.
What You’ll Bring
- Significant hands-on experience in RevOps, GTM Systems, or Sales Operations within enterprise technology, ideally in a structured qualification environment such as MEDDPICC. You understand the full GTM engine and you know what good looks like when real revenue depends on the systems you own.
- Solid data and systems fundamentals. You understand CRM data models, object relationships, data quality and reporting architecture, and you design builds that keep data clean and trustworthy at scale.
- A track record of building for internal GTM teams. Your strongest work is systems and workflows used every day by sales, marketing or CS teams inside a business, not only side projects, single-client builds or customer-facing pre-sales work.
- A builder’s mindset on top of that foundation. You have built things, not just configured them. You can point to workflows, automations, integrations or tools you shipped that moved a real metric, ideally things nobody explicitly asked you to build.
- You learn systems fast. You pick up unfamiliar platforms quickly and reason about how they fit together. You are comfortable reading API documentation, handling authentication, respecting rate limits, and parsing JSON…