[Hiring] Full Stack Product Engineer @InnoCraft

Role Description

Build analytics people can trust. Help define what analytics looks like in an AI-first world. Most analytics platforms ask organisations to trade control for insight. For almost 20 years, Matomo has shown there is another way: powerful, transparent and trustworthy analytics that respects privacy, gives organisations ownership of their data, and helps people understand what's happening, make better decisions, and improve their work.

More than one million websites use Matomo. That means you'll work on software that is widely used, technically demanding, and close enough to customers that your work has a visible impact. It's a rare opportunity for engineers: solving meaningful, complex product problems while seeing the difference your work makes for customers.

This role focuses on Matomo Core, the foundation of our product and the platform our open-source users, cloud customers, and wider plugin ecosystem depend on.

If you want unusually high ownership, visible impact, hard product & platform problems, and the opportunity to strengthen a widely used open-source platform, Matomo is worth a serious look.

What you’ll own

• Understand the problem before committing to a solution.
• Help shape priorities, not just implement them.
• Build across the stack wherever the problem takes you.
• Ship incrementally and learn from real usage.
• Measure outcomes and iterate.
• Use AI throughout your workflow.

What the work looks like

• Diagnosing and solving complex problems across a large, mature codebase.
• Strengthening the security, performance, scalability, reliability and resilience of Matomo.
• Protecting the integrity, accuracy and trustworthiness of the data customers rely on.
• Strengthening capabilities that support increasingly demanding enterprise use cases.
• Building and evolving APIs and platform capabilities used by Matomo plugins and integrations.
• Evolving how Matomo handles consent, privacy and responsible data collection.
• Advancing server-side tracking, data anonymisation and data-health monitoring.
• Enhancing analytics capabilities such as goals, ecommerce reporting and dashboards.
• Simplifying complex analytics workflows and making powerful functionality easier to use.
• Evolving Matomo's design system to create a more consistent and usable product experience.

How we work

• We optimise for impact.
• We value customer problems over technical elegance.
• We value shipping over endless planning.
• We prefer simple solutions over unnecessary complexity.
• We prioritize ownership over handoffs.
• We encourage iteration over perfection.
• We prefer clear writing over excessive meetings.
• We advocate for pragmatic engineering over abstract architecture.
• We leverage AI where it helps us move faster.
• We measure outcomes over assuming we were right.

What we’re looking for

• For senior: You're already operating with a high degree of autonomy.
• For intermediate: You're already comfortable delivering software independently.
• You enjoy building products and solving customer problems.
• You care whether people actually use and benefit from what you build.
• You are comfortable with complex, mature systems.
• You are comfortable across the stack.
• You use AI as part of how you work.

Remote work

Matomo is a remote company. We work mostly asynchronously and rely heavily on clear written communication. You should be comfortable working independently, documenting your thinking, and collaborating without needing constant meetings.

Location

100% remote — Germany, UK or Ireland only.

Hiring process

Our process is designed to understand how you think, build, communicate, and use AI in realistic product engineering work. The process usually includes: Application → Screening → Online aptitude test → People & Culture interview → Technical skills interview → Final technical interview.

Diversity and Inclusion

InnoCraft (trading as Matomo) values what makes you unique. We’re an inclusive employer and welcome applicants from all backgrounds, because diverse perspectives help us build better products.

Interested?

If you care about solving meaningful customer problems, improving software that people depend on, working with high ownership, and making privacy-friendly analytics more secure, reliable, accurate and useful, we’d like to hear from you.