Product Owner (Client Experience)

Role overview

This opportunity is for a partner company based in Saudi Arabia, with applications and next steps handled directly by that employer. The role is centered on improving the experience after payment for a large-scale digital product used by millions of people worldwide. The aim is to help paying customers reach value quickly by connecting them with relevant matches and encouraging meaningful engagement early in their journey.

The position blends product thinking, user behavior analysis, and data-led optimization. It is focused on activation, retention, and customer success, and it requires working in a fast-moving international setup with analytics, design, and engineering partners. A major part of the job is to remove friction from discovery and matching flows while raising satisfaction, engagement, and the sense of value users get from the product.

Key accountabilities

• Take ownership of the post-payment customer journey and keep improving the main product experiences so users reach value efficiently and consistently.
• Raise activation by helping paying users discover strong matches and maintain early conversations during the first week of usage.
• Spot blockers in discovery, recommendation, and matching journeys, then shape solutions that improve relevance and customer satisfaction.
• Enhance the quality and personalization of offers, invitations, and recommendations using user behavior and preference signals.
• Build and refine customer segmentation approaches to adapt the experience to different user groups and expectations.
• Work closely with analytics, engineering, and design teams to validate ideas, measure results, and make iterative improvements.
• Create engagement and reactivation approaches, including personalization, gamification, and communication features, to strengthen retention and perceived value.

Required profile

• Background in B2C product management, preferably within platforms that rely on discovery, matching, or recommendation systems.
• Demonstrated success improving activation, onboarding, or time-to-value in consumer digital products.
• Good understanding of customer journey design, especially in subscription-based or post-payment settings.
• Hands-on experience with data-driven product work, including experimentation, A/B tests, and behavior analysis.
• Ability to shape segmentation, personalization, and recommendation logic.
• Strong analytical thinking and the ability to diagnose underlying user problems rather than only reacting to feature requests.
• Experience operating in high-choice environments where users choose among many offers, options, or paths.
• Fluency in Russian is mandatory.

Benefits

• 100% remote working setup.
• 28 calendar days of annual leave.
• 7 wellness days each year for rest and personal needs, separate from sick leave.
• Annual learning and development support covering 50% of eligible costs for courses, conferences, and professional events.
• Discounts for English language learning.
• Healthcare support allowance of up to USD 1,000 gross per year for medical insurance or medical-related expenses for employees and close family members.
• Workplace support budget of up to USD 1,000 gross every 3 years for home office equipment or coworking expenses.
• Internal gamified recognition program with rewards that can be exchanged for merchandise, experiences, and team activities.
• Referral bonus of up to USD 5,000 for successful recommendations.

Recruitment and data processing notes

Applications are reviewed through an AI-assisted matching process that ranks candidates against the role’s core requirements before a shortlist is shared with the employer. The final hiring decisions, including interviews and assessments, are managed by the employer’s internal team.

By applying, candidates consent to personal data being processed for recruitment evaluation and shared with the hiring company in line with applicable data protection rules, including GDPR where relevant. Rights such as access, correction, deletion, and objection may be exercised at any time.

AI tools may also be used to support parts of the hiring workflow, such as reviewing applications, screening resumes, or checking responses for possible inconsistencies or verification indicators. These tools assist the recruitment process but do not replace human judgment, and final decisions are made by people.