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# Agent Deployment Manager

- **Company:** Clera
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models
- **Published:** August 24, 2026
- **Apply:** https://www.adzuna.de/details/5851341156

## About the Role

* 2+ years of experience in implementation, deployment, or technical project management, ideally with enterprise software or AI products in B2B environments.
 * Demonstrated ability to manage end-to-end enterprise deployment lifecycles, including coordinating across multiple stakeholders and delivering on schedule.
 * Strong understanding of enterprise software architecture - APIs, databases, and system integrations - plus hands-on troubleshooting experience.
 * Proven ability to navigate complex organisations, build trust across diverse stakeholders, and drive consensus.
 * Excellent communication skills, with the ability to translate technical concepts clearly for non-technical audiences and produce documentation, playbooks, and training materials.
 * Fluency in English; German language proficiency is a strong plus.
 * Experience with AI agents, LLMs, or hands-on software development is a valuable asset.
 * Prior exposure to logistics, freight forwarding, or supply chain operations is a plus.
 * Local work authorisation in Germany required; visa sponsorship is not available.

## Description

This is a high-ownership role at an early-stage AI company building purpose-built agents for the sea and air freight industry. You'll own the full deployment lifecycle for enterprise customers - from signed contract through production launch, hypercare, and scaled rollout - and the playbooks you build will become the foundation for onboarding many more customers to come.
What You'll Do

 * Lead end-to-end deployments for enterprise freight forwarders, managing kickoff, go-live, hypercare, and large-scale rollout phases.
 * Map customer workflows and configure AI agents by working directly with stakeholders across operations, IT, and business teams.
 * Troubleshoot technical issues and coordinate system integrations in close partnership with engineering and product.
 * Feed customer insights back to the product team to inform roadmap decisions and improvements.
 * Build repeatable deployment playbooks, templates, and best practices that compress time-to-value and enable team scaling.
 * Drive change management and operator training to turn skeptical users into confident AI champions.


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