Implementation Manager - eQMS
Playbook GmbH Munich, AllemagneImplementation Manager - eQMS
Playbook GmbH Munich, Allemagne
You make sure our customers truly live their quality processes, not just document them. You own customer onboarding and long-term customer success end-to-end, serving as the trusted advisor between life sciences quality teams, technical configurations, and our product team.
Activities
Requirements
Team
You'll join a team of 5 highly motivated colleagues with daily exchange as needed. Challenges are discussed and aligned together, nobody works in a vacuum.
Application Process
Our hiring process
About the Company
About Playbook
Playbook® is building the Operating Memory for regulated industries.
In life sciences and other highly regulated sectors, companies run on thousands of written procedures - SOPs, work instructions, policies, manuals, and how-to guides. Employees are expected to find, understand, follow, and stay trained on the right procedure at the right moment. That system is breaking under the weight of information overload.
Playbook® turns procedural documents into structured, usable data - making critical operational knowledge consumable by humans, software systems, and AI agents. This living layer of procedural knowledge is what we call Operating Memory.
We work with leading global life sciences companies and are building the foundational data model for procedural knowledge in regulated industries. We're an early-stage, founder-led company with high ambition, high standards, and a strong bias toward execution.
Why now
AI agents can't run on tribal knowledge. They have to operate from the same approved procedures, controls, and traceability as the people beside them.
Activities
- You lead customer communication from kickoff to go-live
- You run the project, managing timelines, stakeholders, and dependencies
- You configure Playbook for the customer: templates, steps, conditional visibility, and picklists.
- You use AI agents as tools to work faster and more precisely
- You own your customers end to end, including post go-live
- You report directly to the COO and Co-Founder
Requirements
- Experience in quality management in life sciences, ideally Pharma and/or MedTech (e.g. ISO 13485, GxP)
- Strong process logic: you think in conditions, dependencies, and workflows
- Hands-on mentality: you don't wait for instructions, you act
- Experience in customer projects, implementation, or consulting
- Business-fluent in German and English , both are a must
Team
You'll join a team of 5 highly motivated colleagues with daily exchange as needed. Challenges are discussed and aligned together, nobody works in a vacuum.
Application Process
Our hiring process
- Application review: We'll get back to you within two working days of receiving your application.
- Intro call with Christoph: A first conversation with Christoph, our COO and Co-Founder, so you can get to know each other and talk about the role.
- Team and CEO conversations: If it's a good match on both sides, you'll have two more conversations, one with the team and one with our CEO.
- Decision: You'll receive the feedback within 2 weeks of your application
About the Company
About Playbook
Playbook® is building the Operating Memory for regulated industries.
In life sciences and other highly regulated sectors, companies run on thousands of written procedures - SOPs, work instructions, policies, manuals, and how-to guides. Employees are expected to find, understand, follow, and stay trained on the right procedure at the right moment. That system is breaking under the weight of information overload.
Playbook® turns procedural documents into structured, usable data - making critical operational knowledge consumable by humans, software systems, and AI agents. This living layer of procedural knowledge is what we call Operating Memory.
We work with leading global life sciences companies and are building the foundational data model for procedural knowledge in regulated industries. We're an early-stage, founder-led company with high ambition, high standards, and a strong bias toward execution.
Why now
AI agents can't run on tribal knowledge. They have to operate from the same approved procedures, controls, and traceability as the people beside them.
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