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.

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.