Kanban Coach / Flow Manager (m/f/d) at Egym

Read by 36 job seekers.

Germany, Munich

Your daily workout

Would you like to play an active role in shaping the future of a tech unicorn and contribute your experience to an international team? We are looking for a Kanban Coach & Flow Manager (m/f/d) who is driven by agility and lean values and principles. Is “stop starting and start finishing” your daily mantra? Do you want to drive change and REALLY influence the way the company is working? If you share our desire for continuous improvement, then join our team in Munich or Berlin and help us grow day by day!

Change Management: You drive change and transformation within the organization
Coaching and Transparency: You coach teams in order to ensure delivery and create and support transparency within teams
Innovative Discussion: You discuss ideas and find new ways of working
Process Optimization: You continuously measure and improve processes to e.g. reduce cycle time and identify bottlenecks
Departmental Alignment: You ensure the alignment between different departments to decrease the feedback cycle time
Collaborative Focus: You work alongside Product Managers, leaders and other stakeholders to ensure that the work is flowing and the focus is on the right things at the right time

Your fitness level

Professional Experience: You bring at least 1 year of experience in a Kanban or lean environment and mapping End-to-End workflows
Methodology Proficiency: You have a toolbox of practices (Kanban Method, KMM, Flight Levels, Lean, traditional PM, etc.) and you can see beyond the theory. You have experience and ideally formal training with the Kanban method
Flexibility in Execution: You are solid on the WHY and WHAT while being flexible on HOW
Respectful Change Agent: You respect without judgements the current process and at the same time you pursuit evolutionary change
Influential Communication: You are a strong communicator and coach who can influence different layers on the organization by asking the right questions
Technical Expertise: You have a well-founded technical knowledge and a deep process understanding
Tooling: You are capable of maintaining processes and workflows in Jira and act as an Admin for this tool
Continuous Learning: You are a lifelong learner and desirably an active member of the Kanban community

Your training goal for your first 6 months

Team Insight: You develop a deep understanding of our teams
Product Familiarity: You are familiar with EGYM products and the ecosystem
Role Clarity: You have a good understanding of the roles of the different teams in the software engineering department
Respected Presence: You are a known and well-respected member of the product management team and the software engineering department

The equipment we provide

Learning time: Use 10% of your time on learning topics of your choice (conferences, hackathons, internal and external events, videos, books or innovation projects)
Dynamic & International: Be part of a modern and international company culture where talent and passion is welcome, heard and part of the decision making process
Continuous Development: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
Work-Life-Balance: Benefit from flexible working hours, home office possibilities and 30 days of vacation per year
Fit and Healthy: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or alternatively use our in-house gym with EGYM products
Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
Bike Leasing: Stay active and use our leasing bike offer for your way to work or in your spare time
Subsidized Pension: Profit from our employer subsidized pension

Contact Information

Apply now with your documents (CV, certificates, references, salary expectations, and earliest possible start date) and specify the job ID #1452.

Contact: Carolin Remter

For further information: https://career.egym.com

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $60,000 - $80,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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