Product Manager - Recommendation Systems

Target • Minneapolis, MN

291d • $87,000 - $156,000

About The Position

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Right along with Target's distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environment? Are you a customer service enthusiast who's curious about the guest and can see the shopping journey through their eyes? Then you'll have success on the Personalization Product Team, whose goal is to offer guests a seamless online shopping experience across our platforms—including Target.com, mobile apps, and the store network's fulfillment capabilities. Here, you'll collaborate to create and implement digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience. Product Teams at Target are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. As a Product Manager for Recommendations Systems, you will drive efforts that will evolve our Personalization & Recommendation capabilities from an enterprise-grade application into an industry-leading machine learning technical stack. In this highly strategic & impactful role, you will be responsible for maximizing the performance of our personalization application, handling over 4.5 billion requests weekly. You will develop a clear perspective for how our personalization application fits into the overall digital product strategy; identify data, software, or system engineering growth opportunities; and create a bold vision for how to evolve into the tech stack to meet both our machine learning and enterprise business objectives. As a Product Manager, you will work in the product model and collaborate with stakeholders to assist in defining product strategy, related roadmap, and set key business objectives (OKRs) for your respective product. You will need to leverage the knowledge of your product, as well as client feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with engineers, data scientists, and business partners to deliver value. You will be the “voice of the product” to key stakeholders to ensure that their needs are met, and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders. You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster a sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours.

Requirements

• Four-year degree or equivalent experience.
• 4+ years of experience in technical product management, preferably in a retail environment.
• Proven ability to analyze large datasets, identify trends and patterns, and make data-driven decisions.
• Strong track record of delivering roadmaps consistently.
• Experience working in engineering, data science, computer science, or relevant technical professional experience.
• Prior programming experience in Python or Java is a plus.
• Experience leading design, engineering, and implementation of machine learning algorithms for high volume app and web placements.
• Demonstrated ability to dive deep into technical details and engage engineers with insightful questions.
• Strong written and verbal communication skills.
• Deep understanding of user needs and behavior, with the ability to translate insights into product features.
• Proven ability to lead cross-functional partners in developing technical roadmaps and defining story outlines.
• Understanding of the competitive landscape and market trends.

Responsibilities

• Drive efforts to evolve Personalization & Recommendation capabilities from an enterprise-grade application into an industry-leading machine learning technical stack.
• Maximize the performance of the personalization application, handling over 4.5 billion requests weekly.
• Develop a clear perspective for how the personalization application fits into the overall digital product strategy.
• Identify data, software, or system engineering growth opportunities.
• Create a bold vision for evolving the tech stack to meet machine learning and enterprise business objectives.
• Collaborate with stakeholders to define product strategy, related roadmap, and set key business objectives (OKRs).
• Leverage product knowledge and client feedback to assess value, develop business cases, and prioritize product direction.
• Lead a product team and work with engineers, data scientists, and business partners to deliver value.
• Act as the 'voice of the product' to key stakeholders.
• Maintain a product roadmap and backlog outlining customer themes, epics, and stories.
• Prioritize the backlog to focus on the highest impact work for the team and stakeholders.
• Encourage open exchange of information and viewpoints.
• Inspire others to achieve challenging goals and high standards of performance.
• Foster a sense of urgency to achieve goals and leverage resources to overcome obstacles.

Benefits

• Comprehensive health benefits including medical, vision, dental, and life insurance.
• 401(k) plan.
• Employee discount.
• Short term disability.
• Long term disability.
• Paid sick leave.
• Paid national holidays.
• Paid vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: General Merchandise Retailers
• Education Level: Bachelor's degree