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Senior Product Owner, Recommendation Systems
RemoteFull-timeProduct Management
Lead the post-purchase customer experience for a fully remote, international product team. Improve activation, matching, and personalized recommendations so paying customers find value sooner.
Responsibilities
- Own the post-purchase customer journey, improving activation, matching, relevance, and time to value.
- Optimize recommendation quality and offer volume; improve trust and relevant invitations.
- Increase the likelihood that new customers achieve a quality match in their first week.
- Develop engagement features such as gamification, nudges, reminders, and conversation reactivation.
- Analyze matching parameters across segments and apply personalization and data enrichment.
- Identify journey bottlenecks and opportunities through data, research, and product insight.
- Define testable hypotheses, requirements, priorities, timelines, and success metrics.
- Partner with engineering, design, analytics, and data/ML teams to deliver product improvements.
- Run experiments, assess results, and iterate or scale solutions based on evidence.
- Own product outcomes and measurable impact end to end.
Requirements
- Hands-on B2C product experience in customer experience, journeys, activation, onboarding, or first-session experiences.
- Experience with discovery products involving high volumes of offers, listings, or potential matches.
- Practical understanding of search or feed relevance, matching, recommendations, or personalization.
- Experience with segmentation and enriching offers or listings with data.
- Background in marketplaces, aggregators, social discovery, real estate, classifieds, large-catalog e-commerce, or similar products.
- Ability to define product hypotheses, requirements, success metrics, and measurable outcomes.
- Experience delivering products from conception through implementation and evaluation.
- Experience designing and analyzing A/B tests or other product experiments.
- Ability to combine qualitative research and quantitative analysis to understand customer behavior.
- Strong understanding of product metrics and identifying growth opportunities.
- Experience working cross-functionally with design, analytics, engineering, and data or machine-learning teams.
Benefits
- Fully remote, full-time role.
- 28 calendar days of annual vacation and 7 additional wellness days.
- Referral bonuses of up to $5,000.
- 50% reimbursement for eligible professional training, conferences, and events.
- Corporate discounts for English lessons.
- Up to $1,000 gross annually toward eligible health insurance or medical expenses where corporate coverage is unavailable.
- Up to $1,000 gross every three years toward eligible home-office or coworking expenses outside company-provided locations.
- Internal recognition program with redeemable rewards.
- Initial compensation details shared during the recruitment process before employment begins.