Remote Product Owner – Post-Purchase & Matchmaking

Lever, Inc.

Ireland

Remote

EUR 85,000 - 120,000

Full time

8 days ago

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Benefits offered by this job

Fully remote

28 days vacation

Wellness days

Referral bonus

Training discounts

English-language discounts

Health support

Remote work equipment stipend

Gamified recognition

Job summary

Lever, Inc. is seeking a Product Owner (Matchmaking & Relationship) based in Ireland to own the post-purchase product experience. You will drive activation, matching relevance, and engagement from hypothesis to measured outcomes across a cross-functional team.

Key focus areas include optimizing offer volume, improving recommendations, and designing gamified engagement to increase return visits and match quality within the first week of a new customer experience.

Qualifications

Hands-on B2C product management experience in activation/onboarding.
Experience with discovery-driven products involving large volumes of offers or matches.
Understanding of search, matching and recommendation systems.
Experience in marketplaces or discovery-focused products is highly relevant.
Ability to formulate hypotheses and measurable outcomes.
Experience delivering product from concept through launch and iteration.
Familiar with A/B testing and experimentation.
Mix of qualitative and quantitative product research.
Strong cross-functional collaboration with designers, engineers and data specialists.
Results-oriented with ownership and adaptability in changing priorities.

Responsibilities

Own the post-purchase customer journey to reach high-quality matches quickly.
Optimize offer volume and presentation for relevant options without overload.
Improve recommendation relevance and customer trust throughout the experience.
Increase volume and quality of relevant invitations for paying customers.
Improve first-week match quality for new customers.
Design engagement mechanics—gamification, nudges, reminders, reactivation features.
Analyze matching parameters across user segments with personalization.
Identify bottlenecks and growth opportunities using data and research.
Translate opportunities into testable hypotheses with success metrics.
Collaborate with engineers, designers, analysts, and data/ML specialists.
Manage requirements, priorities, and timelines for predictable delivery.
Run AB tests and scale improvements with meaningful results.