AI Enablement Manager (m/f/d)
Voize
Berlin · Onsite · Full Time
Posted
Job description
🎤 Why voize? Because we’re more than just a job! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people . Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission! 💡 Your Mission: Transform voize into an AI-native organisation As our AI Enablement Manager , you will define, operationalise, and scale how artificial intelligence is adopted. Your the first person in such a role, working with and directly reporting to the COO. You build the infrastructure, guardrails, and enablement systems that help every team at voize adopt AI in a way that is safe, reliable, and actually improves work loops . You’ll turn scattered individual hacks into repeatable practices. Your core mission is to transform voize into an AI-first company and enable everyone to become truly AI-native. 🚀 Your Daily Business - No two days are alike If you're energised by being a first-of-its-kind hire and enjoy turning experimentation into durable operating systems, this role is for you. Build the AI infrastructure: Design and maintain voize's internal AI productivity suite, connecting agents, data, and workflows to enable cross-functional automation and decision-making Enable and educate: Build AI fluency across the organisation through onboarding sessions, workshops, playbooks, and function-specific best practices Set guardrails: Establish and enforce standards for AI governance, safe use, data handling, and compliance in partnership with Security and IT Consult & ship with teams: Partner with teams and leadership to embed AI into workflows, build agents and automations, and translate business needs into prioritised AI initiatives Drive change: Help people and management completely rethink how companies are run — managing the…