> Markdown version of [/jobs/ext/3241498-senior-product-owner](https://www.wearedevelopers.com/jobs/ext/3241498-senior-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Owner - **Company:** Pflegia GmbH - **Location:** Berlin, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Data Presentation, Recommender Systems, SQL Databases, Usage Analysis, Data Lakes, Data Analytics - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=665e14ccd4c7c8b6 ## About the Role Must have * 5+ years in Product Ownership/Management, shipping with cross-functional agile teams. * Experience building or scaling marketplaces, job boards, or recruitment platforms - two-sided funnels behave differently and we would rather not teach that from scratch. * Data-driven by default: you write your own analytics questions, read an experiment result, and say "this did not work" out loud. Analytics, A/B testing, experimentation. * Strong ability to define product vision, roadmaps and priorities against business goals, customer needs and technical constraints - including clear epics, user stories and acceptance criteria for complicated workflows and funnels. * Excellent written German and English. Our users, employers and support team are German-speaking; our codebase and documentation are English. ## Description * Own the matching funnel end to end - invite, accepted match, transferred match, interview, hire. Every step is measured today and every step leaks. * Analyze business requirements and break them down into roadmaps, timelines, epics, tickets and tasks - and defend the cut list. * Document, analyze and improve the whole user journey on both sides of the marketplace: candidates and employers have competing interests, and those trade-offs are yours to make rather than escalate. * Create actionable concepts for new products and features, estimate effort and ROI, own the process from ideation to delivery. * Decide where AI belongs and where it does not. Run experiments with the expected outcome written down first, then verify and iterate. * Define KPIs, track them, improve them, revise them. Within 90 days we expect one metric you moved, with a baseline, a number, and a read you can defend to the leadership team. * Collaborate with stakeholders, developers and the data team, and use data-driven storytelling to align them., * Search and SEO, including the AI-answer variants (AIEO, AEO, GEO) - a growing share of our traffic. * Matching or recommendation systems: you know why offline metrics and business metrics disagree. * Healthcare hiring workflows and empathy for the field - shift work, qualification recognition, and why a nurse does not read email at 14:00. * SQL. Not required, but the people who enjoy this role usually have it.