Lead and scale the engineering team responsible for the real-world performance of our AI models across financial use cases.
Atmantara builds foundational AI infrastructure for financial institutions. From real-time fraud detection to multi-model portfolio optimization, we empower financial teams with scalable, secure, and compliant AI capabilities, without the engineering overhead. Our platform supports cloud-native and hybrid deployments with built-in observability, role-based access, and regulatory-grade compliance (SOC 2, GDPR, PSD2, MiFID II).
We're a high-velocity team based in Berlin and remote, working at the intersection of AI, infrastructure, and fintech.
As Engineering Manager, you'll lead a high-leverage team building model evaluation pipelines, ensuring Atmantara's deployed AI outperforms benchmarks and improves customer outcomes.
You'll help hire, coach, and lead engineers focused on speed, reliability, and transparency of deployed ML systems.
We believe AI infrastructure should accelerate financial intelligence. Atmantara empowers lean, focused teams to work with autonomy and deep collaboration. We measure success in real outcomes: helping financial institutions deploy smarter models faster, without bottlenecks or complexity.
If you're excited to help build the platform powering the next generation of AI in finance, we'd love to talk.
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