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

Statista GmbH; Deutschland; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Statista GmbH is seeking an Engineering Manager who will lead in AI engineering and oversee the product lifecycle of Research AI. The ideal candidate will have a strong Python and AI background, along with proven leadership skills in guiding engineers and developing large-scale AI services. Join us to empower people with data in a dynamic and international team environment.

Leistungen

Work from abroad 10 days a year

Hybrid work and flex-time

International team and social events

Career & training opportunities

Mental health support with OpenUp

Qualifikationen

• 2-3 years experience leading product-oriented engineering teams in AI.
• Strong Python background, experience in AI architecture.
• Familiar with techniques in quality assurance for AI.

Aufgaben

• Lead the engineering team and guide their growth through regular feedback.
• Shape the team’s vision and roadmap based on user demands.
• Ensure the quality, security, and stability of AI products.

Kenntnisse

Leadership

AI Engineering Knowledge

Communication Skills

Python

AWS

Tools

LangChain

LangGraph

LangSmith

Langfuse

Github Actions

Jobbeschreibung

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?

Your Job

As an Engineering Manager with a hands-on mentality, deep Python knowledge and AI engineering experience (LLMs/RAG), you will be responsible for the entire product lifecycle of Research AI and related AI services.

Some of the tasks:

• Shape vision and roadmap of the team together with the team and UX and Product Manager counterparts based on user and business demands
• Lead the team and help the engineers to grow (regular 1:1 meetings, feedback, daylies, etc.)
• Decide the architecture together with the team and help with implementation, critically review design decisions
• Take over responsibility for the quality of the AI services / products the team is developing as well as for security, stability and imposed costs.
• Further develop the team by hiring new talents if necessary
• Keep up-to-date with latest developments and trends in AI Engineering.

Your Skills

• At least 2-3 years experience in leading a product-oriented Engineering team in the AI engineering sphere
• AI Engineering knowledge and experience, incl. also experience in evaluation techniques and quality assurance in AI contexts.
• Experience working with with LLMs and RAG: Prior knowledge and experience in retrieval augmented generation (RAG) and LLM based chats is required.
• Experience with LangChain, LangGraph, and LangSmith or Langfuse is favorable.
• Hands-on: Strong Python background and experience with tooling related to AI Engineering, experience in shaping scalable, well-maintainable architectures and infrastructure as code
• Solid track record in developing large-scale, user-facing AI services and products.
• AWS: Basic understanding on how to build a scalable, serverless and highly available applications on AWS. Concrete technologies: Lambda, SQS, S3, DynamoDB, RDS, CDK, Datadog, Github Actions.
• Good communication skills, ability to communicate to various stakeholders and across various levels
• Familiar with OKRs and Kanban or Scrum

What we offer

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 with OpenUp

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