Senior Product Manager, Machine Learning Platform

Job title: Senior Product Manager, Machine Learning Platform

Company: Wayfair

Job description: Who We Are:

Wayfair believes everyone deserves a home they love and that furnishing your home should be a source of fun, not anxiety. Our product team plays a crucial role in making this vision a reality for millions of people around the world. Partnering with engineering, UX design, analytics, and business partners across Wayfair, our product team ensures that we’re building technology that solves important customer problems in elegant, scalable, measurable ways. We have a modern tech stack including sophisticated capabilities around AI, data science, multivariate testing, and personalization. We’re a highly collaborative, supportive team that values learning, psychological safety, and intentional career development.

The Machine Learning Platforms team is at the center of Wayfair’s customer experience. We provide data scientists and machine learning engineers with libraries, tooling, clients, and systems that accelerate the end-to-end lifecycle of an ML model – all at high scale and low latency.

Candidates for this position are preferred to be based in Toronto, ON and will be expected to comply with their team’s hybrid work schedule requirements.

What You’ll Do:

  • Serve as a thought leader on how Wayfair’s data science teams can accelerate their work.
  • Lead highly cross-functional work streams across multiple organizations within Wayfair
  • Conduct discovery activities to deeply understand the needs of data scientists and machine learning engineers (MLEs)
  • Translate insights gained into actionable roadmaps and requirements for the engineering team to deliver

What You’ll Need:

  • 5-7 years building software products or infrastructure at scale with measurable impact and ideally across multiple platforms or workstreams.
  • 3+ years of experience in shipping platforms for data, ML, and/or infrastructure
  • Ability to take ownership, responsibility and act as a visible leader while being humble and inclusive
  • Passion for ML and knowledge of various ML frameworks and data science platforms
  • Ability to understand data scientist’s and ML Engineer’s workflows and their problems
  • Proficiency in coding and experience with data manipulation, building models, and productionizing applications
  • A Customer-centric mindset with a strong ability to conduct rigorous customer interviews and convey the “why” behind decisions
  • Strong analytical and strategic thinking skills with a focus on long-term roadmap planning
  • Excellent communication and presentation skills to effectively convey ideas and tradeoffs to senior stakeholders
  • Strong problem-solving and critical thinking skills, with the ability to dive deep into data and produce actionable insights
  • Experience with marketing products and generating awareness through creative and compelling ways
  • Ability to dive deep into data, understand system architecture, question it with a healthy dose of skepticism, and augment team implementations with “what if” questions to improve the product.

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 Disability)
  • Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various 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
  • Unique Perks:
  • Employee Discount
  • U.S. Bluebikes Membership
  • Global Pod Outings
  • Work/Life Balance:
  • Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

We are looking forward to your application!

Expected salary:

Location: Toronto, ON

Job date: Fri, 15 Dec 2023 05:44:23 GMT

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