Senior Engineering Manager, Central Data Products

About the role

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it's all powered by our commitment to make every single journey extraordinary - including yours. You will lead the vision and execution of a portfolio of data and machine learning products that serve as the foundational layer for the entire marketplace flywheel. Your responsibility is to translate complex technical and business requirements into high-impact data products that drive measurable outcomes across Consumer, Growth, and Supply. You will manage a senior, cross-functional team of Data Scientists and MLOps Engineers, guiding their careers while ensuring technical excellence and alignment with company goals. This role requires a strong bias for action, ownership of end-to-end product lifecycles, and the ability to navigate ambiguity to deliver reliable, scalable solutions. You will be instrumental in shaping how the company understands and organizes its travel marketplace through data.

Key facts

What you'll do

Drive the end-to-end lifecycle of horizontal data products, from discovery and architecture to productionization and operational excellence across GetYourGuide.

Lead the hiring, development, and performance management of a senior, cross-functional team, fostering an environment where Data Scientists and MLOps Engineers can thrive.

Define and execute the product roadmap for Central Data Products, making explicit trade-offs between exploration, productionalization, and ongoing operations to maximize business impact.

Solve complex technical challenges that span multiple services and business domains, including marketplace tagging quality, destination maps, and predictive customer models.

Own the adoption and operationalization of data products, partnering closely with Growth, Supply, and Consumer stakeholders to ensure real-world value is realized.

Establish and maintain rigorous quality baselines for data products, including LLM-as-judge evaluations, golden dataset monitoring, and robust incident management processes.

Build strategic partnerships with senior stakeholders across Product, Engineering, Marketing, and Sales, aligning on shared systems and driving ownership from day one.

Translate technical results and trade-offs into clear business decisions, communicating effectively with commercial stakeholders to maximize impact.

Champion the development of reliable, at-scale pipelines and production infrastructure that support LLM-based systems running in production today.

Elevate the operational bar for data products by implementing monitoring, observability, and governance practices that ensure reliability and trust.

Act as a thought partner for the Central Data Products team, providing technical and product leadership on best practices for data and ML.

Ensure that all team outputs are measured by company-level business impact, focusing on outcomes rather than just delivery milestones.

Promote a culture of experimentation and continuous learning, enabling the team to iterate quickly while maintaining high standards for quality and reliability.

Represent the Central Data Products team in cross-company initiatives, ensuring that data product strategies are aligned with broader organizational goals.

Requirements

You have a Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field, or equivalent practical experience.

You have 5+ years of experience in software engineering, data science, or a related technical role, with a strong focus on machine learning and production systems.

You have 3+ years of experience managing engineers, including hiring, performance management, and career development in a technical context.

You have hands-on experience with modern machine learning frameworks, data pipelines, and cloud-based infrastructure.

You have a proven track record of building and scaling data products that have been adopted by multiple internal or external stakeholders.

You are fluent in English, both written and verbal, with the ability to communicate complex technical concepts to non-technical audiences.

You are comfortable making decisions in ambiguous environments and prioritizing work based on potential business impact.

You have a strong sense of ownership and accountability for product outcomes, user satisfaction, and team performance.

Nice to have

Experience leading teams that own horizontal or platform-like data products serving multiple internal customers, where adoption is as hard as the build.

Experience running ML or data products in production at scale, including monitoring, evaluation, and iteration on models in a live environment.

Experience with LLM-based systems, including prompt engineering, evaluation methodologies, and integration into production data pipelines.

Experience with location-based services, travel data, or marketplace platforms is a significant advantage.

Experience aligning technical roadmaps with commercial and strategic priorities in a B2C or marketplace environment.

Practical notes

The role is based in our Berlin office, and candidates must be eligible to work in Germany without sponsorship.

Relocation support is not available for this position.

Travel is not required for this role.

Visa sponsorship is not available for this position.

This is a full-time employment opportunity.