Senior Product Manager, Data Engineering

2 weeks ago

Bengaluru, India Wayfair Full time

Who We Are

Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale.

We are seeking a highly motivated Senior Product Manager to join our team, focusing on supporting the Data Engineering organization. In this role, you will be responsible for driving the data strategy for various initiatives including search experience, product recommendations, personalization, ads data, marketing attribution, and marketing segmentation. The ideal candidate will have a strong background in data tooling and engineering, product management, business acumen, and experience working with Google native tools and third-party data vendors.

 

Key Responsibilities:

  • Define and Own Data Strategy: Develop and implement the data strategy for all marketing data initiatives, ensuring alignment with business objectives and driving actionable insights.
  • Backlog Management: Proactively manage and groom the backlog of data engineering projects, prioritizing based on business needs, resource availability, and strategic objectives.
  • Stakeholder Communication: Serve as a primary point of contact for stakeholders, communicating progress, challenges, and opportunities related to data engineering initiatives.
  • Roadmap Prioritization: Own the 6-12 month roadmap for the team as well as prioritization of roadmap items, making trade-offs as necessary to ensure alignment with business goals and resource constraints.
  • Initiative Definition and Success Metrics: Clearly define initiatives, scope, and success metrics, working closely with cross-functional teams to ensure alignment and accountability.
  • Usability for Data Science and Machine Learning Teams: Ensure that the output of data engineering initiatives is usable by data science, analytics, and machine learning teams, facilitating seamless integration and utilization of data-driven insights.

 

Desired Experience:

  • Experience in data tooling and data engineering, with a focus on marketing/ads data.
  • Strong business intuition and ability to translate business requirements into technical solutions.
  • Moderate SQL knowledge, with experience using it as an analyst in some capacity.
  • Experience working with Google BigQuery (GBQ) and other Google native tools.
  • General knowledge of machine learning concepts and familiarity with tools such as Spark, Kubernetes, Airflow/Vertex/Composer.
  • Familiarity with third-party data vendors and products, and ability to integrate external data sources into internal systems.

 

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Business, or related field; advanced degree preferred.
  • Proven track record of success in product management roles, particularly in the data engineering domain.
  • Strong communication and stakeholder management skills, with the ability to influence cross-functional teams and drive consensus.
  • Analytical mindset with a passion for leveraging data to drive business outcomes.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

 

Why Join Us:

  • Opportunity to work on cutting-edge data engineering initiatives at scale.
  • Collaborative and inclusive culture with a focus on continuous learning and professional development.
  • Competitive compensation package including salary, bonus, and benefits.
  • Growth opportunities within a rapidly expanding tech company.

 

If you are a seasoned product manager with a passion for data engineering and marketing analytics, we encourage you to apply and join our team of innovative professionals shaping the future of Wayfair

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at 

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