Product Manager, Recommendations Team

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Requirements:

• You have 2 years of experience leading the definition and delivery of products/features/projects that have a high degree of cross-functional complexity and integration.
• You seek an entrepreneurial environment and have a track record of delivering results in a high-growth environment.
• You have excellent analytical abilities and can effectively use data to drive decisions.
• You have experience running products in a B2B SaaS context or think you can learn the ropes quickly enough. Background in Recommender Systems, eCommerce, Retail Marketing, or a related field is preferred.
• You are collaborative, value learning, and are driven to accomplish great things.
• You are excited to bring learnings from your experience to augment our product culture.
• You have demonstrated success working with teams including a significant number of remote and distributed members, particularly in engineering roles.
• Familiarity with building Machine Learning led products preferred.
• Familiarity working in an agile software development environment with empowered teams.

Responsibilities:

• Create and socialize a compelling roadmap that translates into an iterative and value-driven backlog.
• Orchestrate go-to-market activities with sales and marketing.
• Conduct customer and user interviews to better understand pain points and product opportunities.
• Drive cross-team coordination and collaboration with your fellow Product Managers to maximize delivered customer value.
• Work to support major new customer onboarding where necessary.
• Perform competitive research and analysis, and regularly report it back to the team.
• Research market trends, and make sure we're planning for where the market will be in a few years, not just today.
• Drive product definition, strategy, long long-term vision and you have the autonomy to go after the largest opportunities, regardless of where they fall within the user journey.
• Define opportunities for Recommendations to drive delightful shopping experiences that drive lifts in Retailer business metrics.