Principal Product Manager - Pricing Product (all genders) at Zalando | Berlin, DEU | Rezi

Principal Product Manager - Pricing Product (all genders) at Zalando

Principal Product Manager - Pricing Product (all genders)

Zalando · Berlin, DEU

Yesterday

Principal Product Manager - Pricing Product (all genders)

Zalando · Berlin, DEU

a day ago
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About the Role

As Principal Product Manager ML - Pricing Platform, you will work with engineering, operations research, and machine learning teams to build the engineering backbone for sophisticated forecasting and optimization products that drive pricing decisions. You will understand stakeholder needs, drive delivery, and prioritize development, ultimately being responsible for delivering the right product. Your decisions will impact millions of Zalando shoppers and the daily prices they see on our platform, with a direct and measurable impact on the business's bottom line.

Responsibilities

  • Shape the engineering infrastructure for cutting-edge optimization products that recommend prices for over 300k items in 24+ countries almost daily
  • Define a long-term vision to deliver against, identify and prioritize problems and solutions, build fact-based business cases
  • Structure complex mathematical/economics topics into easy-to-understand messages and communicate effectively across all levels
  • Work with the team and stakeholders to develop and prioritize epics and user stories
  • Lead the delivery with engineering, operations research, and data science teams in an agile development process

Requirements

  • Product management experience on a lead/principal level, owning a long-term vision and roadmap
  • Using a data-driven approach to identify problems and guide the implementation of solutions in line with the vision
  • Excellent communication skills with the ability to understand, analyze, and clearly communicate business problems and priorities to engineering teams and business stakeholders
  • Very good understanding of econometrics, math, and statistics
  • Python/SQL skills
  • Experience in machine learning and data science/engineering

Skills

  • Product management
  • Data-driven approach
  • Communication
  • Econometrics
  • Mathematics
  • Statistics
  • Python
  • SQL
  • Machine learning
  • Data science
  • Data engineering

Location

  • Europe

Work Type

  • Agile development process

Experience Level

  • Principal level

Education Level

  • Masters/PHD in economics or a science related field (preferred)

Benefits

  • 27 days of holiday a year for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando
  • 30% off Lounge by Zalando
  • Discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Training platform
  • Biannual peer-to-peer review

About the Company

  • Zalando pricing systems are a core element of our commercial operation, in charge of price optimisation across several business cases such as stock optimisation, competitive pricing and vouchers.
  • Guiding our business to commercial success requires state of the art forecasting and optimization tools to recommend optimal prices for these products, set up a competitive price environment and to ensure that we have the right level of logistics capacity to fulfill customer demand.
  • Zalando's vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design.
  • Diverse teams fuel innovation and creativity.

Equal Opportunity

  • If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement.
  • We actively seek out talent from all backgrounds.
  • We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions.
  • Please refrain from including personal details such as your photo, age, or marital status in your CV.
  • We are committed to providing an exceptional and accessible candidate experience for everyone.
  • If you require any accommodations to support you throughout the hiring process, please let us know.