Senior Product Manager, Data Engineering

1 week 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

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here. 

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