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Senior Product Manager – Search & Recommendations

Senior Product Manager – Search & Recommendations

CompanyWayfair
LocationToronto, ON, Canada
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • 6+ years of experience in product management, preferably with a focus on search, recommendations, and/or e-commerce capabilities.
  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent of education and experience.
  • Proven experience working with machine learning models and ML science teams.
  • Proven experience managing backend platform development with software engineering teams.
  • Strong analytical and problem-solving skills, with the ability to translate complex technical concepts into clear and concise business requirements.
  • Excellent communication, presentation, and interpersonal skills.
  • Experience with A/B testing and other experimentation methodologies.
  • Experience working with agile development methodologies.

Responsibilities

  • Define product vision and strategy: Develop and champion a long-term product vision for product ranking on Search & Browse experiences, aligning it with overall company goals and customer needs.
  • Roadmap development and execution: Create and prioritize a product roadmap, balancing short-term wins with long-term strategic objectives. Manage the entire product lifecycle from ideation to launch and beyond.
  • Data analysis and interpretation: Leverage data and analytics to identify opportunities for improvement, track product performance, and measure the impact of product changes.
  • Collaboration and cross-functional leadership: Work closely with engineering, machine learning science, analytics, customer experience, and other teams to ensure seamless product development and execution. Influence and collaborate effectively with stakeholders across the organization.
  • Machine Learning model management: Work closely with data scientists to define requirements, evaluate performance, and manage the lifecycle of machine learning models that underpin the search experience.
  • Backend platform management: Oversee the development and maintenance of the backend platforms and services that support the on-site search and browse experience, ensuring scalability, reliability, and performance.
  • Continuous learning: Continuously research and evaluate emerging technologies and trends in search and relevance to identify opportunities for innovation.

Preferred Qualifications

    No preferred qualifications provided.