Engineering Manager - Go-to-Market (m/f/d)
Statista · Hamburg or Berlin
What this role requires
3 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: GitHub Actions, Datadog, Unleash, Jira, PHP. Worth having, but their absence is not what gets a CV filtered out.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
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 role
Take ownership of the engineering strategy and delivery for Statista’s Acquisition & Registration domain, building the services that enable users to discover, sign up for, and purchase our platform while driving lead generation and conversion.
Read the full description (24 more sections)Show less
Lead, coach, and develop a cross-functional engineering team of frontend, backend, and QA engineers by fostering a high-performing culture focused on growth, collaboration, and engineering excellence.
Partner closely with Product Management to deliver the product roadmap, balancing business priorities, technical trade-offs, and predictable execution.
Shape and evolve the technical architecture across acquisition and registration services, including sign-up, checkout, payments, product plans, upgrades, and the migration of legacy services to our modern technology stack.
Drive the adoption of AI-native engineering practices by integrating agentic development workflows, establishing quality standards, and applying AI tools to improve engineering productivity and software quality.
Stay hands-on with technology by contributing to coding, architecture, and technical decision-making while championing best practices in code quality, testing, observability, and operational excellence.
Your profile
10+ years of software engineering experience in cloud-native environments, including experience leading and developing engineering teams
Strong expertise in React, TypeScript, AWS, GitHub Actions, Datadog, Unleash, Jira, and experience working with PHP-based legacy systems
Proven experience designing scalable software architectures and modernizing legacy applications
Hands-on experience using AI-powered engineering tools and agentic development practices to improve software delivery
Strong stakeholder management, coaching, and cross-functional collaboration skills, with the ability to balance business priorities and technical decisions
Excellent written and spoken English
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 up to 30 calendar days a year
Hybrid work and flex-time
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock and all its amazing functionalities
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.
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