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# Enterprise AI Transformation Lead, DACH

- **Company:** Clera
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €90,000.0 - €150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Enterprise Integration, Virtual Agents
- **Published:** May 26, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=1a37c915195a2339

## About the Role

Do you have experience in AI?, Dealbreakers:

 * Native-level German proficiency and location in Munich (or firm willingness to relocate).
 * 3+ years in enterprise AI transformation consulting with a track record of C-suite engagements and transformation roadmaps at large enterprises.
 * Hands-on experience shipping production AI agents, including model routing, evaluation design, data residency considerations, and enterprise integration architecture.

Required:

 * Tier-one consulting background (e.g., McKinsey, BCG, Bain, Roland Berger, or equivalent) or comparable enterprise transformation experience.
 * Proven ability to build and lead regional teams and scale across Europe.
 * Experience leading C-level engagements and delivering measurable strategic outcomes at large enterprises.
 * Commercially sharp with experience in renewals, expansions, and multi-stakeholder revenue motions.
 * Extremely high agency, fast decision-making, concise communication, and a low-ego ownership mindset.

Nice to Have:

 * Ex-founder or startup experience.
 * Willingness to travel and spend multiple days per week at customer sites.

## Description

A Y Combinator-backed enterprise AI SaaS startup is looking for an Enterprise AI Transformation Lead to own and scale AI-driven change across the DACH region, based in Munich. You'll work directly with the founding team to transform multibillion-euro enterprises into AI-native operators, acting as a trusted strategic partner to C-suite leaders while building high-impact AI agent deployments from the ground up., * Serve as an AI transformation partner to CEOs, CIOs, and Chief Transformation Officers at large enterprises.

 * Run each account like a consulting engagement: stakeholder mapping, diagnostic, roadmap, rollout, and measurable results.
 * Diagnose where AI creates the most leverage and identify the highest-value use cases per customer.
 * Build the first agents yourself to prove value, then scale adoption org-wide.
 * Host executive workshops, briefings, and strategy-oriented QBRs that engage senior leadership.
 * Navigate complex enterprise politics to find champions, remove blockers, and expand impact.
 * Collaborate directly with founders on regional strategy, key accounts, and Munich team-building.
 * Represent the voice of the customer to product and engineering, driving prioritization with conviction.
 * Systematically automate your own workflows by building agents to eliminate manual work.


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