Product Owner (Recommendation Systems)

Overview

This role is for a Product Owner focused on enhancing the post-purchase customer experience, primarily through activation, matching, relevance, and personalized recommendations. The aim is to enable paying customers to quickly realize significant value by improving the discovery and connection processes with relevant opportunities. This is a remote, international position requiring cross-functional collaboration across engineering, design, analytics, and data/ML teams within a dynamic product environment.

Key Responsibilities

• Oversee the entire post-purchase customer journey targeting activation, matching efficiency, recommendation relevance, and accelerating customer value realization.
• Balance quantity and quality of offers to ensure customers receive relevant selections without being overwhelmed or underserved.
• Enhance recommendation trustworthiness and increase relevant invitations delivered to paying customers.
• Boost the probability that new users find quality matches within their first week.
• Develop and refine engagement features such as gamification elements, nudges, reminders, and conversation reactivation methods.
• Analyze matching criteria across various user groups, applying segmentation, personalization, and data enrichment tactics to improve recommendation outcomes.
• Identify obstacles and growth possibilities by leveraging quantitative metrics, qualitative insights, and product intuition.
• Convert product improvement opportunities into clear, testable hypotheses with defined success metrics and measurable results.
• Collaborate closely with multidisciplinary teams to prioritize, create, test, and launch enhancements.
• Manage product requirements, prioritize tasks, and oversee delivery schedules to ensure smooth execution.
• Conduct A/B testing and other experimental methods, analyze findings, and iterate or scale solutions based on data.
• Assume full ownership of product results, focusing on tangible impact rather than process alone.

Qualifications and Experience

• Practical experience in B2C product management, particularly related to customer experience, journey design, activation, onboarding, or initial session optimization.
• Background in handling discovery-driven products with large volumes of offers, listings, or matches.
• Understanding of search and feed relevance, matching systems, recommendation algorithms, and personalization approaches.
• Experience with segmentation and personalizing offers or listings enriched by supplementary data.
• Industry experience in marketplaces, aggregators, dating or social discovery platforms, real estate, classifieds, or e-commerce with sizable catalogs focusing on discovery and recommendations.
• Capability to formulate product hypotheses, clearly specify requirements, and set measurable success criteria.
• Proven track record of steering product delivery from concept through implementation and assessment.
• Skilled in designing and evaluating A/B tests and other product experimentation methodologies.
• Comfortable integrating qualitative and quantitative research techniques to comprehend user behavior and inform product decisions.
• Strong proficiency interpreting product metrics to find notable growth chances from data analysis.
• Excellent collaborative mindset engaging with designers, analysts, engineers, and data/ML experts.
• Outcome-driven with high ownership and decisiveness in independent decision-making.
• Adept at operating effectively in ambiguous, fast-paced product environments with shifting priorities.
• Clear, straightforward communicator open to learning from failures and experimental outcomes.

Benefits and Additional Information

• This is a fully remote, full-time position.
• Compensation details or salary range are provided during recruitment prior to employment.
• Annual leave of 28 calendar days plus 7 extra wellness days for personal or recovery needs.
• Referral bonuses up to $5,000 for successful candidate recommendations.
• 50% reimbursement for professional development including international conferences and training events.
• Corporate discounts for English language courses.
• Health benefits include up to $1,000 gross yearly reimbursement for self-purchased health insurance or eligible medical costs when no corporate insurance is offered.
• Support for workplace equipment and setup, reimbursing up to $1,000 gross once every three years for eligible home-office or coworking expenses outside company locations.
• Participation in an internal gamified recognition program with rewards redeemable for merchandise, team activities, massages, and other perks.
• Work alongside a globally distributed, remote-first international team.

Additional Partner Information

The application process is managed by a partner company who reviews applications and advances suitable candidates. An AI-assisted matching system is utilized to ensure fair and efficient shortlisting. Final hiring decisions are made by the partner's internal team.

Data Privacy & AI Use Notice

Applicants consent to personal data processing for recruitment purposes in compliance with applicable data protection laws. AI tools may be used to assist recruitment but do not replace human decision-making. Candidates can inquire for detailed data processing information.