About the company

Ersties is an ethical adult video streaming platform with in-house video production, primarily serving German and English-speaking subscribers. We care about doing this category well: the production side, the audience relationship, and the product experience itself. We've been doing this for over 15 years, and we're still investing in doing it better.

We're a small team, which means you'll work directly with the core stakeholders making product decisions, and your work will visibly shape where the product goes next. If you bring a sharp recommendation, it lands on the desk of someone who can decide and who is eager to make the product better.

The role

We're looking for a Senior Product Analyst to take dedicated ownership of our experiments, metrics, and analytics work - building on what we've already established and bringing the depth that comes with a focused role. The role is fully remote (CET timezone), and reports to our Product leadership.

What you'll own

• Experiments lifecycle. From defining the initial hypothesis to inlet filtration, metric selection, sample size, stopping criteria, and post-test analysis - you'll run the full cycle. You'll be the person who proposes what we measure and why, and who flags when a proposed test isn't worth running in the first place.
• Creating and supporting dashboards people actually use. Clear, well-structured, decision- oriented. The test is whether a stakeholder can open one, draw understandable conclusions and know what to do next.
• Stakeholder partnership. You'll be a part of the product team rather than receiving inputs from one person. That means preparing data deliverables that other people can pick up, understand, and act on without a translation layer.
• Interpretation grounded in product reality. Across experiments, KPIs, and questions from stakeholders, you'll help the team to look into patterns related to actual users behaviour, driving meaningful insights and ideas for product changes
• Tooling strategy. Our current tools (Amplitude plus Tableau with backend data) have taught us a lot. You'll have a point of view on how analysis and data acquisition connect, where our current setup serves us, and where it needs to change. We want someone who treats the measurement architecture itself as a thing to improve on - not just a given.