Product Owner (Matchmaking)

JobgetherSocial discovery

Based in PolandFull-Time

Salary not disclosed

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Job Details

Have proven experience in a B2C product role.
Have hands-on responsibility for customer experience, customer journey design, activation, onboarding, or first-session optimization.
Have experience with products featuring large volumes of offers, listings, or potential connections where discovery and relevance are central.
Be familiar with search relevance, recommendation engines, matching algorithms, content feeds, or similar systems.
Understand customer segmentation, personalization strategies, and data enrichment techniques.
Bring relevant experience from marketplaces, aggregators, dating or social discovery platforms, real estate, classifieds, large-catalog e-commerce, or similar discovery-led products.
Be able to identify customer problems, formulate testable hypotheses, define requirements, and translate insights into product solutions.
Have experience designing and evaluating A/B tests or other experiments and interpreting product metrics and qualitative and quantitative research.
Demonstrate ability to manage product requirements, prioritize initiatives, coordinate delivery, and drive projects through implementation and evaluation.
Be able to collaborate effectively with designers, engineers, analysts, and data specialists.
Take ownership, adapt to changing priorities, and focus on measurable customer and business outcomes.

Own the post-purchase experience for paying customers, identifying friction and opportunities to improve activation, engagement, and time to product value.
Improve the relevance and quality of recommendations and the volume of options presented to customers.
Develop strategies to increase relevant invitations and help new customers achieve a quality match during their first week.
Design engagement mechanisms such as gamification, nudges, and reminders to encourage users to return to conversations.
Use segmentation, personalization, and enriched offer data to improve recommendations and customer outcomes.
Analyze product metrics, customer behavior, feedback, and research to identify bottlenecks and prioritize opportunities.
Translate insights into testable hypotheses, success metrics, and actionable product requirements.
Collaborate with engineers, designers, analysts, and data and machine learning specialists to coordinate and deliver product improvements.
Plan and run A/B tests and other experiments, evaluate results against metrics, and iterate on successful initiatives.

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