Solutions Engineer (f/m/d)

Pre-Sales & Enablement: Drive technical demos and solution deep-dives with enterprise prospects, tailoring ML and AI workflows and integrations to their environments. Build convincing technical narratives with architecture diagrams and proof-of-value setups. Re-engage leads and qualify promising prospects through community and outbound channels.

Proof of Concept (PoC): Lead customer trials from setup to success: deploy ZenML via Helm/Terraform, guide pipeline engineering, and troubleshoot any infrastructure or SDK issues. Keep PoCs scoped, on track, and outcome-focused.

Customer Success & Support: Ensure users extract full value from ZenML by triaging issues, running feature enablement sessions, and engaging new users in community channels. Monitor adoption and proactively address friction points to drive retention.

Product & Engineering Collaboration: Turn customer learnings into product improvements - from drafting PRDs and testing new features to developing code examples and documentation. Act as a strong advocate for developer experience and seamless deployment.

Operations, Growth & Evangelism: Optimize GTM systems (billing, CRM, analytics) and share insights across teams. Represent ZenML at events, deliver talks, and co-create content that spreads best practices and user success stories.

The Tool: ZenML (You will become a power user/expert).

The Infrastructure: Kubernetes (deploying and debugging apps), Docker, Helm, Terraform.

The Code: Python (Scripting, SDK, contributing to codebase), Go (optional, Terraform provider)

The Clouds: AWS (EKS), GCP (GKE), Azure (AKS).

Full-Stack MLOps Thinker: You understand both the ML lifecycle and the infrastructure it runs on.

Customer Engineer Mindset: You can talk to data scientists, DevOps engineers, and decision-makers with equal confidence.

Strong Communicator: You enjoy teaching, writing, and simplifying complex technical concepts.

Builder Mentality: You don’t just identify friction — you script, automate, or prototype the fix.

Curious Generalist: Comfortable operating across technical and GTM workflows, from Kubernetes debugging to CRM hygiene.

Strategic Impact: You’ll be a critical part of how ZenML wins high-value customers and ensures their long-term success.

Rapid Learning: Exposure to every layer of the MLOps stack — and how real teams operationalize ML and LLMs.

Community Influence: Shape the experience of thousands of open-source users and engage directly with the ecosystem that defines the future of MLOps.

Cross-Functional Visibility: Work daily with engineering, marketing, and sales — bridging technical depth and business outcomes.

🌍 An inspiring, international team We’re a tight-knit group of motivated people from 7 different nationalities, speaking 20+ languages - and we are just as diverse in our interests. Whether you're into gaming, music, writing, meditation, yoga, sailing, mountain hikes, or motorcycles, you’ll find your people here.

🎉 Genuine connection & lots of fun We take our work seriously but ourselves not too much. Laughter, memes, and spontaneous coffee chats are part of the daily deal. Check out our team website if you don’t believe us.

🌴 Annual company offsite Once a year, we bring the whole team together for a few days of deep connection, collaboration, and good vibes - somewhere beautiful.

🏡 Office in the heart of Munich Our home base is in Schellingstraße, right in the middle of everything. Stop by for great coffee on our sunny balcony or some after-work drinks on our roof-top terrace.

🗓️ Flexible hours & trust-based work We have core hours (9am to 6pm), but life happens - and we trust you to manage your time in a way that works for you.

🧑🏼‍💻 Remote-friendly culture Abound half of our team is remote, working from places like Spain, Morocco, the Netherlands, and the US. Whether you're in Munich or elsewhere, you're equally part of the team.

🏦 Competitive compensation Wondering what the salary for this role is? Just ask us! On the first call, it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply - what's more important to us is finding the right fit!

ZenML is more than a platform—it’s the next-generation framework making production AI accessible to every organization. From classical ML to autonomous agents, our open-source toolkit empowers teams to build robust internal AI platforms. We help data scientists and engineers ship reliably and at lightning speed.

Send us examples of your work (GitHub, portfolio, or previous projects) along with your resume to careers@zenml.io. We're particularly interested in hearing about your experience with cloud infrastructure, customer-facing technical roles, and any MLOps-related projects.

We'll review your application within 48 hours and get back to you with the next steps. If you’re curious about our process, you can find more information on our website.