Product Owner — Recommendation Systems (Remote)

Lever, Inc.

Santiago

Presencial

CLP 57.692.000 - 115.385.000

Jornada completa

Hace 11 días
Generador de candidaturas

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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

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

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