Product Owner (Matchmaking&Relationship)

We're not looking for a task manager. We're looking for someone who will own a part of the product end-to-end, from hypothesis to results.

You'll own what happens after a user pays: getting every paying customer to a quality match as fast as possible.

This is not a classic subscription-retention role, and it's not SaaS onboarding. We need someone who knows how to increase the share of customers who reach the value moment, through better activation, matching, relevance, and experience.

— Getting offer volume right: making sure customers see neither too many nor too few options
— Improving the relevance of recommendations and building trust in what we show
— Increasing relevant invites to paying customers
— Raising the probability that a new customer forms a quality match in their first week
— Designing mechanics that bring users back into conversations (e.g. gamification, nudges, reminders)
— Understanding which matching parameters matter most for different user segments, and using segmentation, personalization, and data enrichment of offers to improve results

The quality of free members' communication itself is outside this role. Your focus is activation, matching, relevance, and experience.

— Find bottlenecks and growth points in the post-purchase journey using data, research, and common sense
— Turn ideas into clear, testable hypotheses with defined success metrics
— Work with engineers, designers, analysts, and data/ML specialists to ship fast and efficiently
— Manage requirements, priorities, and timelines for smooth, predictable delivery
— Run experiments, analyze results and product metrics, then iterate and scale what works

A B2C product person with hands-on experience in:

— Customer experience and customer journey design, activation, onboarding, or the first-session experience
— Discovery-driven products with a large volume of offers or listings
— Search or feed relevance, matching, or recommendation systems
— Segmentation, personalization, and enriching offers with data

Marketplaces and aggregators, dating and social discovery, real estate and classifieds, e-commerce with large catalogs, or any product built around discovery, matching, recommendations, or personalization.

— You know how to formulate hypotheses and define requirements
— You can drive delivery
— You know how to validate results and run A/B tests and other experiments
— You're comfortable with qualitative and quantitative product research
— You work well cross-functionally with designers, analysts, and engineers
— You understand product metrics and how to find growth opportunities
— You focus on results, not process
— You take ownership instead of waiting for direction
— You're comfortable with changing priorities
— You communicate clearly and directly
— You treat failures as learning, not setbacks