Software Engineering Manager, Bidding & Decisioning

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Job Opportunity: Software Engineering Manager, Bidding & Decisioning - Wayfair Inc.

Location and Work Schedule

Preferred candidates are based in Boston, MA, and should be ready to adhere to their team's hybrid work schedule requirements.

Who We Are

The Bidding & Decisioning team at Wayfair continually optimizes hundreds of millions of dollars in ad spend through innovative solutions leveraging first and third-party data and machine learning (ML) driven approaches. Our solutions impact various advertising platforms including Google, Meta, Pinterest, and TikTok, and have the potential to influence billions in revenue.

This role offers a significant opportunity for strong leaders to impact revenue by collaborating with business, technology, and data science teams to build scalable ML-driven technology platforms. The position requires balancing people management, technical oversight, and cross-functional leadership.

Learn More

Interested in our Engineering community? Visit the for more insights.

Leadership Contacts:

  • Satish Gopalakrishnan, Associate Director for Growth & Ads Engineering
  • Pramod Khincha, Director of Search & Recommendations Engineering

What You'll Do

  • Lead and mentor engineering teams, helping team members reach their highest potential.
  • Collaborate with Product, Data Science, and Marketing peers to define platform direction and develop team roadmaps.
  • Own the technical vision for ML model lifecycle management in partnership with the science team.
  • Ensure platforms are scalable, maintainable, and extensible through technical expertise.
  • Oversee the effective, iterative delivery of product features.

We Are A Match Because You Have

  • B.S. or equivalent experience in Computer Science or a related field.
  • 10+ years of software engineering experience, including hands-on technical management of large-scale systems and ML domains.
  • Experience working closely with data science/machine learning teams, managing the ML model lifecycle with large data sets.
  • Expertise in making architectural and design decisions for large-scale platforms.
  • Proficiency with Java, Python, relational and KV datastores, messaging systems, and managed ML platforms such as Vertex AI or Sagemaker.
  • Excellent communication skills to collaborate effectively with engineers, scientists, product managers, and business stakeholders.

Why You’ll Love Wayfair

Time Off

  • Paid Holidays
  • Paid Time Off (PTO)

Health & Wellness

  • Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
  • Life Insurance
  • Disability Protection (Short Term & Long Term)
  • Global Wellbeing: Gym/Fitness discounts including Peloton, ClassPass, and regional gym memberships
  • Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
  • Caregiver Services

Financial Growth & Security

  • 401K Matching (Employee Matching Program)
  • Tuition Reimbursement
  • Financial Health Education (Knowledge of Financial Education - KOFE)
  • Tax Advantaged Accounts

Family Support

  • Family Planning Support
  • Parental Leave
  • Global Surrogacy & Adoption Policy

Professional Development & Recognition

  • Rewards & Recognition
  • Global Employee Anniversary Awards
  • Paid Volunteer Work