AI Enablement Manager (m/f/d)

Voize·Berlinsenior

In short

→Gestiona la adopción de IA en toda la empresa como pionero en el rol.
→Diseña herramientas y procesos para automatizar flujos de trabajo con IA, centrado en mejorar la productividad humana.
→Eres el enlace entre tecnología, seguridad y equipos, creando sistemas sostenibles para uso seguro de IA.

Proficiency in English required for collaboration with international teams.

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What they ask for

✓5+ años en entornos de tech/SaaS con experiencia en adopción de tecnologías avanzadas.
✓Fluidez técnica en sistemas basados en LLM (prompts, agentes, recuperación, embeddings, APIs).
✓Capacidad para construir, probar y entregar soluciones técnicas con equipos técnicos y no técnicos.
✓Experiencia probada en capacitación y adopción a escala de no técnicos.
✓Actitud emprendedora con capacidad para operar en entornos ambiguos.
✓Disponibilidad para trabajar en Berlín.

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LLMpromptsagentsretrieval patternsembeddingsAPIsworkflow automationdata platformssecuritycompliance

Who should you write to at Voize?

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🎤 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 and scale how voize's team and team members use & adopt artificial intelligence 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 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 Automate complete work loops: Partner with selected teams to redesign and automate workflows so human involvement is concentrated on judgment, decisions, and interpersonal work 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 transition towards an organisation where humans and AI agents work side by side Turn usage into learning: Analyze tool usage and adoption signals, spot fatigue patterns, and iterate on what actually changes outcomes. Build the context layer: Help create and maintain an LM-readable context layer with a sensible update process so agents and humans operate on shared truth. 🤝 Your Skillset - What you bring to the table 5+ years of experience in a fast-paced tech or SaaS environment, with hands-on ownership of cross-functional initiatives including AI or advanced technology adoption. You path to this role can have been varied, from Engineering to Product Management or Business Operations. Strong technical fluency in LLM-based systems (prompts, agents, retrieval patterns, embeddings, APIs) and experience designing and integrating AI workflows across tools and data platforms Engineer mindset - you can build, debug, and ship (not only strategy) along side of tech & non-technical teams. Proven enablement track record - you've trained and enabled non-technical teams and driven adoption at scale, developing playbooks, learning content, and feedback loops Entrepreneurial and process-oriented mindset with strong communication skills, sound judgement, and comfort operating in ambiguity Location: Berlin required.

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