Remote Product Owner – Matchmaking & Personalization

Jobgether

Sweden

Remote

SEK 800,000 - 1,200,000

Full time

2 days ago

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Benefits offered by this job

Fully Remote Work

Competitive Compensation

Annual Vacation: 28 days

Wellness Days: 7 days

Referral Bonuses: up to $5,000

Professional Development: 50% reimb.

Language Learning: English lessons

Health Benefits: up to $1,000 gross/yr

Home Office Support: up to $1,000 gros

Peer Recognition & Rewards

Job summary

Jobgether is seeking a Product Owner (Matchmaking) based in Sweden to shape the post-purchase customer journey for paying users. You will own product improvements from hypothesis to experiments, working across product, data, engineering, and design to enhance activation, personalization, and engagement.

This remote-first team analyzes metrics and feedback to prioritize opportunities and drive impactful outcomes.

Qualifications

Proven experience in a B2C product role focusing on customer experience, activation and onboarding.
Discovery and relevance are central to the customer journey in large offer-rich products.
Familiarity with search/recommendation and matching systems is preferred.
Understanding segmentation, personalization and data enrichment improves recommendations.
Experience in marketplaces, dating or social discovery helps align with this role.
Ability to identify problems, form testable hypotheses, and define actionable requirements.
Strong skills in designing and evaluating experiments and interpreting metrics.
Proven ability to manage requirements and deliver initiatives from discovery to release.
Excellent cross-functional collaboration with designers, engineers, analysts, and data scientists.
Bias toward measurable business outcomes and growth opportunities.
Ownership mindset, adaptability and resilience in a dynamic environment.
Clear, direct communication and learning from experiments.

Responsibilities

Own the post-purchase customer journey to help paying customers achieve meaningful matches quickly.
Optimize matching and recommendation relevance to provide appropriate options and build trust.
Increase meaningful engagement and drive invitations to improve early matches.
Design engagement mechanisms such as gamification, nudges, and reminders to boost conversations.
Utilize segmentation and personalization to improve recommendations and outcomes.
Analyze metrics and feedback to identify bottlenecks and opportunities in the journey.
Translate insights into hypotheses, success metrics, and actionable requirements.
Lead cross-functional delivery with engineers, designers, analysts, and data/ML specialists.
Plan and run A/B tests, evaluate results, and iterate successful initiatives.
Drive continuous improvement based on data and practical problem-solving.