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About the Role
As the Senior Engineering Manager of Central Data Products, you will lead the vision, strategy, and execution of a portfolio of data and ML products used across the company. Your team is senior and cross-functional (Data Scientists, MLOps Engineers, and a Product Manager), and its output is measured in company-level business impact, not in models shipped.
Responsibilities
- Lead all hiring and performance management processes for your team, helping Data Scientists and MLOps Engineers reach their full potential in a domain that mixes classical ML, LLMs, and production data infrastructure.
- Drive high-impact outcomes by managing the team's roadmap and portfolio allocation across a diverse set of horizontal data products, making explicit trade-offs between exploration, productionalization, and ongoing operations.
- Find and deliver solutions to complex technical challenges that span multiple services and business domains, from marketplace tagging quality to predictive customer models.
- Own adoption, not just delivery. Drive operationalization together with Growth, Supply, and Consumer stakeholders.
- Raise the operational bar for data products in production: quality baselines, LLM-as-judge and golden dataset monitoring, incident management, and reliable at-scale pipelines.
- Build strategic partnerships with senior stakeholders across Product, Engineering, Marketing, and Sales, aligning ownership of shared systems from day one.
Requirements
- Strong sense of ownership, ensuring technical and product plans are aligned with stakeholders, team, and organizational/company goals.
- Approach ambiguous, broadly scoped problems with an open mind and a bias toward a directional first version over extended discovery.
- Strong technical background in machine learning and engineering, enabling evaluation of decisions on modeling approaches, data architecture, evaluation methods, and production pipelines.
- Actively lead and contribute to technical, design, and product discussions within the team's domain, balancing exploration speed with production reliability.
- Passionate about building and developing a high-performing team: mentoring, coaching, and empowering senior individual contributors.
- Translate technical results into business decisions and hold your own with commercial stakeholders on impact, trade-offs, and prioritization.
- Excellent written and verbal communication skills in English.
Skills
- Machine Learning
- Data Infrastructure
- LLMs
- Classical ML
- MLOps
- Data Science
- Product Management
- Roadmap Management
- Portfolio Allocation
- Technical Problem Solving
- Stakeholder Management
- Operational Excellence
- Quality Monitoring
- Incident Management
- Pipeline Reliability
- Communication
Location
- Berlin HQ
- Global Offices
Work Type
- Hybrid
- Remote (30 days/year)
Experience Level
- Senior
Benefits
- Annual personal growth budget
- Mentorship programs
- Work from anywhere in the world for 30 days per year
- Hybrid working approach
- Quarterly team events
- Yearly company-wide events
- Monthly transportation budget
- Monthly fitness budget
- Discounts on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
About the Company
- GetYourGuide connects people with unforgettable travel experiences around the world.
- Millions rely on GetYourGuide for unique activities they can trust.
- The company's mission is to make every journey extraordinary.
Equal Opportunity
- Qualified individuals will be evaluated based on skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
- Applicants are requested to refrain from including their picture and age with their application.