Product Owner (Recommendation Systems)

Accountabilities

• Own the post-purchase customer journey, focusing on activation, matching, relevance, and the speed at which paying customers reach meaningful value.
• Optimize offer volume and recommendation quality so customers receive a relevant selection without being overwhelmed or underserved.
• Improve the relevance and trustworthiness of recommendations and increase the number of relevant invitations reaching paying customers.
• Increase the likelihood that new customers achieve a quality match during their first week.
• Design and improve engagement mechanics such as gamification, nudges, reminders, and conversation reactivation features.
• Analyze matching parameters across user segments and apply segmentation, personalization, and data enrichment to improve recommendation outcomes.
• Identify bottlenecks and growth opportunities across the post-purchase journey using quantitative data, qualitative research, and product insight.
• Translate product opportunities into clear, testable hypotheses with defined success metrics and measurable outcomes.
• Partner with engineers, designers, analysts, and data/ML specialists to prioritize, develop, test, and launch product improvements.
• Manage product requirements, priorities, and delivery timelines to ensure efficient and predictable execution.
• Run A/B tests and other product experiments, analyze results and metrics, and iterate or scale solutions based on evidence.
• Take end-to-end ownership of product outcomes, focusing on measurable impact rather than process for its own sake.

Requirements

• Hands-on B2C product experience, particularly in customer experience, customer journey design, activation, onboarding, or first-session experiences.
• Experience working with discovery-driven products involving large volumes of offers, listings, or potential matches.
• Practical understanding of search and feed relevance, matching systems, recommendation engines, personalization, or related product experiences.
• Experience with segmentation, personalization, and enriching offers or listings with additional data.
• Relevant experience in marketplaces, aggregators, dating or social discovery, real estate, classifieds, e-commerce with large catalogs, or other discovery- and recommendation-driven products.
• Strong ability to formulate product hypotheses, define clear requirements, and establish measurable success criteria.
• Proven ability to drive product delivery from idea through implementation and evaluation.
• Experience designing and analyzing A/B tests and other product experiments.
• Comfortable combining qualitative and quantitative research to understand customer behavior and validate product decisions.
• Strong understanding of product metrics and the ability to identify meaningful growth opportunities from data.
• Effective cross-functional collaboration skills, with experience working closely with designers, analysts, engineers, and data/ML specialists.
• Results-oriented mindset with a strong sense of ownership and willingness to make decisions independently.
• Comfortable working with changing priorities and ambiguity in a fast-paced product environment.
• Clear, direct communication skills and a willingness to treat failures and experiments as opportunities for learning.

Benefits

• Fully remote, full-time opportunity.
• Initial compensation level or salary range shared with candidates during the recruitment process before employment begins.
• 28 calendar days of vacation per year.
• 7 additional wellness days annually for personal, household, or recovery needs.
• Referral bonuses of up to $5,000 for successful candidate recommendations.
• 50% reimbursement for professional training, international conferences, and professional events.
• Corporate discounts for English language lessons.
• Health benefits, including up to $1,000 gross per year toward self-purchased health insurance or eligible medical expenses when corporate medical insurance is not available.
• Workplace equipment and setup support, including reimbursement of up to $1,000 gross once every three years for eligible home-office or coworking expenses outside company-provided locations.
• Internal gamified recognition program with rewards that can be exchanged for merchandise, team-building activities, massage certificates, and other perks.
• Opportunity to work within a globally distributed, remote-first environment with an international team.