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AI Operations Lead
Taktile · Berlin, Germany
About The Role
Join Taktile, a company dedicated to building AI products for complex decision-making. As the AI Operations Lead, you will be responsible for embedding AI into every team at Taktile, making it a multiplier for productivity. You will work closely with team leads across the company to identify, build, and scale AI workflows with the biggest impact. This is a high-leverage, internal-facing operations role that requires both strategic and hands-on work.
- Definir y ser responsable de la hoja de ruta interna de IA de Taktile, priorizando los casos de uso en diferentes áreas de la empresa.
- Construir herramientas internas y agentes de extremo a extremo que integren la pila SaaS de Taktile en los flujos de trabajo diarios de los ingenieros y operadores.
- Identificar, priorizar y escalar oportunidades de automatización en todas las unidades de negocio, diferenciando claramente lo que se puede y debe automatizar.
- 5+ years in consulting, operations, or a similar cross-functional senior role
- Technical deployment experience + hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals
- Excellence breaking down complex problems and making quick, well-informed decisions even under pressure
- Enough technical depth to converse about LLM pipelines, agentic workflows, and integrations
- Ability to write and review production-grade Python and SQL - preferably with a strong technical background - e.g., Data Science
- Fluent English, both written and spoken. Strong written and verbal communication skills from leadership reporting to internal playbooks - with both technical and non-technical operators alike
- Strong program management skills across complex, multi-stakeholder environments
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply
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