Senior Technical Program Manager, Data Science

Boston, MA

Applications have closed
Wayfair Inc. logo
Wayfair Inc.

Wayfair’s Data Science team builds algorithmic systems that enhance our customer experience, improve customer loyalty, and ultimately drive our bottom line. The Paid Media Data Science team at Wayfair develops machine learning models and reinforcement learning systems to power algorithmic decision-making across key marketing channels, including Paid Search, Display, Social Media, Direct Mail, Online Video and more.

As a Technical Program Manager for the Paid Media Data Science team, you will work closely with key internal and external stakeholders to ensure there is strong alignment between Wayfair’s business objectives and data science solutions. You’ll quarterback the roadmap, planning, and delivery of key data science capabilities focused on digital advertising and paid media at large. You’ll lead the charge by rallying a team of highly skilled data scientists, ML engineers, analysts, and fellow product managers as we build scalable algorithmic systems responsible for optimizing millions of customer-level decisions: Who do we target? On what channels? How frequently? How much do we bid? What type of ad do we show? Which creative asset? Etc.

TLDR; If you are a technology enthusiast and working at the intersection of machine learning, ad-tech/mar-tech, and eCommerce sounds appealing to you, you should consider applying. You might be on a vendor call with Facebook in the morning, a discussion with our data scientists on reinforcement learning in the afternoon, and meeting with our infrastructure team later in the day.

What You'll Do

  • Responsible for the roadmap, planning, and delivery of Data Science solutions from conception to prototyping, testing, deploying, and measuring its overall business value
  • Interface with Marketing, Ad Tech, and other Engineering and Product teams to drive the integration of our algorithmic solutions into existing production systems
  • Lead the ideation, opportunity sizing, planning, and integration of machine learning models into various inbound/outbound marketing channels and storefront placements
  • Serve as the single point of contact for your portfolio of ML products and triage new stakeholders requests and understanding where/how this fits into our longer term roadmap
  • Develop and own communication strategy for both technical and business stakeholders (including OKR tracking, sprint planning, executive documentation, and biweekly updates)
  • Work with external vendors such as Facebook and Pinterest to fully leverage their capabilities, identify breakthrough opportunities, and resolve operational issues
  • Collaborate with product leads across Wayfair Ad-Tech, Storefront, Infrastructure, and peer ML teams to ensure we’re building the right capabilities in the right place
  • Communicate and evangelize the Waylift Paid Media product vision and progress throughout Wayfair from C-level stakeholders on down

What You'll Need

  • An obsession with the customer and ability to empathize; a natural bias towards taking a customer-centric lens in how we frame, approach, and ultimately solve every problem the team works on
  • 5+ years of product management experience ideally in the adtech/martech, analytics, or data science space
  • Exposure to machine-learning model lifecycle; training, evaluation, serving
  • A solid understanding of mechanics and advertising technology for our key paid media partners (Facebook, Google GDN, TradeDesk, AppNexus, Pinterest) - including audience management, bidding, identify matching, A/B testing, campaign management, etc.
  • A technology enthusiast with a curious mind; you value continuous learning and enjoy staying up to date on the latest in the adtech/martech space, key players, new capabilities, etc.
  • Sufficient technical literacy to both understand business needs and the underpinnings of our product vision as well as effectively communicate with engineers and data scientists.
  • Solid SQL/ data wrangling skills, ability to create data stories and reports with visualization tools such as Looker, and experience calling APIs using Python or other languages
  • Exposure to machine-learning model lifecycle; training, evaluation, serving
  • Most importantly, a positive can-do attitude and “no excuses” mentality that pushes through issues with creative solutions and tenacity
Job region(s): North America
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