Product Owner (Client Experience)

Role overview

This opportunity is for a Product Owner focused on client experience for a global digital product serving millions of users. The role is based in Kenya and is handled by a hiring partner on behalf of the employer, with applications and subsequent steps managed by that partner. The core mission is to improve what happens after payment so users reach value quickly by finding and engaging with relevant matches.

You will work at the crossroads of product direction, user behavior, and data-led optimization, with a strong focus on activation and customer success. The environment is international, fast-moving, and highly collaborative, involving analytics, design, and engineering. A key objective is to remove friction from discovery and matching journeys while lifting user satisfaction, engagement, and retention across multiple markets.

Accountabilities

• Take ownership of the post-payment journey and keep refining the core customer experience so users consistently and quickly achieve meaningful engagement.
• Improve activation by helping paying customers connect with strong matches and maintain early communication during the first week of use.
• Spot barriers in discovery, recommendation, and matching flows, then turn those insights into product changes that raise relevance and satisfaction.
• Enhance the quality and relevance of offers, invites, and recommendations by using user behavior and preference signals.
• Build and sharpen customer segmentation approaches so different user groups receive experiences suited to their needs and expectations.
• Partner with analytics, engineering, and design to validate ideas, track results, and continuously iterate on improvements.
• Create engagement and reactivation tactics, including personalization, gamification, and communication features, to strengthen retention and perceived value.

Requirements

• Substantial background in B2C product management, preferably in products with advanced discovery, matching, or recommendation systems.
• A demonstrated record of improving activation, onboarding, or time-to-value in consumer digital products.
• Practical understanding of customer journey design, especially in subscription-based or post-purchase environments.
• Hands-on experience with data-informed product work, including experiments, A/B testing, and behavioral analysis.
• Capability to shape segmentation, personalization, and recommendation logic.
• Strong analytical thinking and the ability to identify real user problems rather than only reacting to feature requests.
• Experience operating in high-choice environments where users move through many offers, options, or paths.
• Fluent Russian is mandatory.

Perks and benefits

• 100% remote working arrangement.
• 28 calendar days of paid annual leave.
• 7 wellness days each year for rest and personal needs without drawing on sick leave.
• Annual learning and development support covering 50% of eligible expenses for courses, conferences, and professional events.
• Discounts for English language learning.
• Health support allowance of up to $1,000 gross per year for medical insurance or healthcare costs for the employee and immediate family members.
• Workplace support budget of up to $1,000 gross every 3 years for a home office setup or coworking space expenses.
• Gamified internal recognition program with rewards that can be exchanged for merchandise, experiences, and team activities.
• Referral bonuses reaching up to $5,000 for successful recommendations.

Additional information

This position is posted through a hiring partner that screens applications using an AI-assisted matching process. Applications are reviewed against the role's core requirements, and the shortlist is then passed to the employer for interviews, assessments, and final decisions.

Data privacy and hiring process

By applying, you acknowledge that your personal data may be processed for candidate evaluation and shared with the employer as part of pre-contractual and legitimate-interest processing under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection at any time.

AI tools may support parts of the recruitment workflow, such as resume review, response analysis, and inconsistency checks. These tools assist recruiters but do not replace human judgment, and final hiring decisions are made by people.