Product Owner (Recommendation Systems)

About the Role

We are looking for a Product Owner to lead the post-purchase customer experience with a core emphasis on activation, matching, relevance, and personalized recommendations in a remote, globally distributed environment. This role requires end-to-end management of the customer journey to ensure paying users quickly realize meaningful value by enhancing how they find and connect with relevant opportunities.

Key Responsibilities

• Lead ownership of the post-purchase customer journey focusing on activation, matching accuracy, relevance, and customer value realization speed.
• Balance offer volume with recommendation quality to ensure customers receive an appropriate and effective selection, avoiding overwhelm or saturation.
• Enhance the trustworthiness and relevance of recommendations and increase the delivery of pertinent invitations to paying customers.
• Boost the probability that new customers find high-quality matches within their first week.
• Create and refine engagement features including gamification, nudges, reminders, and conversation reactivation to sustain involvement.
• Evaluate matching parameters across different user segments utilizing segmentation, personalization, and data enrichment techniques to improve recommendation efficiency.
• Detect bottlenecks and growth opportunities throughout the post-purchase phases using data analysis, qualitative research, and product intuition.
• Translate discovered product opportunities into well-defined, testable hypotheses with measurable success criteria.
• Collaborate with engineering, design, analytics, and data/machine learning teams to prioritize and implement product improvements.
• Manage product requirement specifications, prioritization, and timelines to guarantee smooth execution.
• Conduct A/B testing and other product experiments, analyze outcomes, and iterate or scale based on evidence.
• Own product outcomes end-to-end, emphasizing impact-driven delivery over process-centric approaches.

Qualifications and Experience

• Practical experience in B2C product management, particularly in aspects such as customer experience, journey mapping, activation, onboarding, or initial session optimization.
• Experience working on discovery-driven products that handle extensive volumes of offers, listings, or matches.
• Solid understanding of search relevance, feed optimization, matching algorithms, recommendation engines, and personalization strategies.
• Familiarity with segmentation and enrichment of offers or listings to improve recommendation quality.
• Background in marketplaces, aggregators, dating/social discovery, real estate, classifieds, e-commerce with extensive catalogs, or similar domains reliant on discovery and recommendation technologies.
• Demonstrated ability to generate product hypotheses, delineate clear requirements, and define success metrics.
• Proven track record in managing product development lifecycle from conception through implementation to evaluation.
• Competence in designing and evaluating A/B tests and other experimental methodologies.
• Comfort and experience combining qualitative insights with quantitative data to guide product decisions.
• Strong data literacy with capability to identify growth drivers from product metrics.
• Proven collaboration skills, working closely with cross-functional teams including design, analytics, engineering, and data/ML experts.
• Outcome-focused mindset with strong autonomy and decisiveness.
• Ability to adapt and thrive amidst shifting priorities in a dynamic, fast-moving environment.
• Clear, straightforward communication style and an openness to treat experiments and failures as opportunities to learn and improve.

Benefits

• Remote full-time employment arrangement.
• Compensation details shared during recruitment prior to hiring.
• 28 calendar days of paid vacation per year.
• 7 additional wellness days annually for personal, household, or recuperation purposes.
• Referral bonuses up to $5,000 for successful candidate referrals.
• Half reimbursement for participation in professional courses, international conferences, and industry events.
• Discounts on English language classes.
• Health-related financial support of up to $1,000 gross yearly for personal health insurance or allowable medical expenses if corporate insurance is not provided.
• Support for home-office or coworking workspace setup, reimbursing up to $1,000 gross every three years for eligible expenses beyond company-provided locations.
• An internal gamified rewards program offering merchandise, team activities, massage vouchers, and other perks.
• Opportunity to collaborate within an international, remote-first team environment.

Additional Information

The recruitment process includes the use of AI-assisted candidate matching to promote objective and fair evaluation of applications, identifying top fitting candidates for the hiring company’s consideration. All final hiring decisions and subsequent steps such as interviews and assessments are managed internally by the partner company.

Applicant data is processed legitimately and in compliance with data protection laws (including GDPR). Candidates may exercise their rights concerning data access, rectification, erasure, or objection at any time.

AI tools are utilized to assist application review and evaluation, without replacing human judgment. Final employment decisions rest with the human hiring team.