Senior Product Owner
Pflegia GmbH
Berlin, Germany
21 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
A/B Testing
Artificial Intelligence
Data Analysis
Data Presentation
Recommender Systems
SQL Databases
Usage Analysis
Data Lakes
Data Analytics
Job 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.
Requirements
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.
Benefits & conditions
- Decision authority. Flat hierarchies with short decision paths are not a slogan here: you will not need a committee to ship, and you will not get to blame one either.
- Direct access to the data - our own data lake, dashboards and product analytics. You query it yourself instead of filing a ticket and waiting.
- Budget and room for experiments that are allowed to fail, provided the expected outcome was defined up front.
- Regular feedback conversations with empathic and experienced leadership.
- An open corporate culture with helpful, communicative colleagues and a genuinely cooperative working atmosphere.
- Central Berlin office in a beautiful old building, plus flexible remote
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