Product Owner (Recommendation Systems)

Lever, Inc.; Santiago; Presencial; CLP 57.692.000 - 115.385.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Vacation & wellness days

Referral bonuses up to $5,000

Training reimbursement

Descripción de la vacante

Lever, Inc. is seeking a Product Owner (Recommendation Systems) based in Chile to own the post-purchase experience, focusing on activation, matching, relevance, and personalized recommendations.

You will drive end-to-end improvements across discovery, segmentation, personalization, and experimentation, collaborating closely with engineering, design, analytics, and data/ML teams. This remote, international role emphasizes data-driven decision making, measurable outcomes, and ownership of

Formación

• Hands-on B2C product experience focused on customer journey design and activation.
• Experience with discovery-driven products with large catalogs or listings.
• Understanding of search, feeds, matching, recommendations, or personalization.
• Experience with segmentation and enriching offers/listings with data.
• Experience in marketplaces, aggregators, or discovery-driven products.
• Ability to formulate hypotheses, define requirements, and measurable success criteria.
• Proven track record delivering product from ideation to evaluation.
• Experience designing and analyzing A/B tests and experiments.
• Ability to combine qualitative and quantitative research to inform decisions.
• Strong product metrics mindset and growth-focused mindset.

Responsabilidades

• Own the post-purchase customer journey focusing on activation, relevance, and value delivery.
• Improve recommendation quality and offer volume to balance relevance and avoid overload.
• Increase likelihood of quality matches in the first week for new customers.
• Design engagement mechanics like nudges, reminders, and reactivation features.
• Collaborate with engineers, designers, analysts, and data/ML teams to ship improvements.
• Run experiments (A/B tests), analyze results, and scale successful solutions.
• Translate opportunities into testable hypotheses with clear success metrics.
• Own requirements, priorities, and delivery timelines end-to-end.

Conocimientos

Product discovery

Activation

A/B testing

Cross-functional collaboration

Segmentation

Personalization

Hypothesis testing

Data-driven decisions

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Owner (Recommendation Systems) based in Chile.

As a Product Owner, you will own the post-purchase customer experience, with a strong focus on activation, matching, relevance, and personalized recommendations. Your mission will be to help paying customers reach meaningful value as quickly as possible by improving how they discover and connect with relevant opportunities. You’ll work across product discovery, recommendation systems, segmentation, personalization, and experimentation. Using data, research, and product intuition, you’ll identify bottlenecks and turn them into measurable product opportunities. You’ll collaborate closely with engineering, design, analytics, and data/ML teams to turn hypotheses into impactful product improvements. This is an end-to-end ownership role in a remote, international, and fast-moving product environment.

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.

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