Engineering Manager - AI Engineering (m/f/d)

At Statista, we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

• Collaborate with your team, UX, and Product Managers to shape the vision and roadmap, ensuring alignment with user needs and business goals.

• Lead, mentor, and support engineers in their growth through regular 1:1 meetings, feedback, and daily team check-ins.

• Guide architectural decisions in partnership with your team, contribute to hands-on implementation, and thoughtfully review design choices.

• Ensure the quality, security, stability, and cost-effectiveness of the AI services and products your team develops.

• Build and strengthen your team by identifying and onboarding new talent as needed.

• Stay current on advancements and trends in AI Engineering, bringing new ideas and learnings to your team.

• 2–3 years of experience leading product-oriented engineering teams within AI Engineering.

• Proven expertise in AI Engineering, including evaluation processes and quality assurance in AI-driven environments.

• Practical experience with large language models (LLMs) and retrieval-augmented generation (RAG); familiarity with LLM-based chat applications is essential.

• Experience with tools such as LangChain, LangGraph, and LangSmith or Langfuse is a plus.

• Strong Python skills, with hands-on experience in building scalable and maintainable AI architectures and using infrastructure-as-code tools.

• Demonstrated success in developing large-scale, user-centric AI products and services.

• Working knowledge of scalable, serverless, and highly available AWS applications; familiarity with technologies such as Lambda, SQS, S3, DynamoDB, RDS, CDK, Datadog, and Github Actions.

• Effective communicator, comfortable collaborating with diverse stakeholders across all levels.

• Experience working with OKRs and agile frameworks such as Kanban or Scrum.

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

• Work from abroad 10 days a year (up to 30 if your family lives abroad)

• Hybrid work and flex-time

• International team and social events

• Career & training opportunities

• Attractive locations and modern offices

• Mental health support by OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.

TITL1_DE

Compétences idéales

• Python

• Hamburg, Hamburg, Germany

Expérience professionnelle

• Machine Learning
• Data Scientist

Compétences linguistiques

• English