Enterprise Account Manager at Clera — Berlin, Germany

About The Role

ABOUT THE ROLE

This role sits at the intersection of customer strategy and AI transformation, owning a portfolio of enterprise accounts and driving retention, adoption, and expansion across a broad base of organisations. Working closely with Solutions Engineering and Product, you'll serve as a strategic partner to customers while also shaping what gets built next — a high-ownership position with direct, meaningful impact.

WHAT YOU'LL DO

Own a book of enterprise accounts and be accountable for renewal, adoption, and expansion outcomes.
Build structured account plans covering stakeholder maps, health assessments, growth opportunities, and risk mitigation.
Run strategic customer conversations — QBRs, executive business reviews, and proactive check-ins — grounded in data and measurable outcomes.
Identify and drive expansion across users, use cases, and deployment scope.
Navigate complex enterprise stakeholder landscapes: cultivate champions, manage blockers, and build multi-threaded relationships from end users to C-suite.
Build AI agents and automated workflows to manage your own book of business and systematically eliminate manual effort.
Collaborate cross-functionally with Solutions Engineering, Product, and Sales to translate customer needs into product direction.
Serve as the internal voice of the customer while remaining aligned with company strategy.

WHAT WE'RE LOOKING FOR

5+ years in an enterprise customer-facing role — Account Management, Customer Success, or consultative post-sales.
Proven track record driving adoption and expansion in complex, multi-stakeholder organisations.
Strong commercial acumen with demonstrated success in renewal and expansion conversations.
Hands-on experience building AI agents and automating workflows; comfortable discussing model selection, data privacy, and integration architectures with technical stakeholders.
Technical credibility sufficient to engage meaningfully with engineering and IT decision-makers.
Strategic, data-driven approach leveraging CRM signals, usage data, and health scores.
Fluency in German (C1+) and English — both are required.
Background at an AI-native company, in technical consulting, or at an early-stage startup is a strong plus.