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Solutions Engineer (m/f/d)

🏢 Voize · 📍 Berlin · 💼 remote · ⏰ FullTime
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Position Summary & Responsibilities

🎤 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: Delight customers, optimise processes!

As a Solutions Engineer at voize, you own the full technical journey of our customers - from the first presales check to ongoing operations. You’re the primary technical point of contact, bridging voize and customer IT. By validating infrastructure, configuring secure setups, solving technical issues, and scaling deployments, you ensure a smooth experience and long-term success.

🚀 Your Daily Business – No two days are alike

  • Support pre-sales calls to assess infrastructure, spot blockers, and guide evaluations

  • Several years of experience as a Linux or Windows Administrator

  • Troubleshoot issues across systems, networks, browsers, and interfaces with clarity and empathy

  • Support technical scaling (e.g. growing user bases, infra changes)

  • Document setups and technical handoffs for smooth internal collaboration

  • Flag recurring issues and contribute to internal tools, docs, or p

🎯 Candidate Preparation Guide For Voize Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Focuses on applied AI/LLM engineering in high-stakes domains (healthcare/nursing) where accuracy, privacy, and workflow integration are paramount.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating AI hallucinations as a minor issue rather than a critical blocker in healthcare.
  • 2. Building complex AI models detached from the actual user constraints of frontline nurses.
  • 3. Ignoring latency constraints in voice-to-text application loops.
✨ Recommended Role Alignment Hook:

I build production-grade voice AI systems that drastically cut administrative burdens for frontline workers without compromising data security.

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