Senior Product Manager, Bidding & Decisioning

Please note that this is a hybrid role based in Toronto, CA and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.

Who We Are:

Wayfair is looking for an experienced product manager to own the strategy & roadmap for our Martech Bidding & Decisioning platforms.  These systems utilize extensive first and third party data in conjunction with advanced ML approaches to continually optimize all elements of our marketing, impacting hundreds of millions in ad spend.   This includes driving spend management, content optimization, segmentation, and the campaign structures across major digital ad platforms such as Google, Meta, Pinterest, and TikTok. 

Partnering closely with marketing, data science, and engineering, this PM will focus on developing scalable decisioning approaches that integrate seamlessly with our broader martech stack to maximize the impact of Wayfair’s ad spend.  Additionally they will research broader market trends across Martech and AI/ML to identify new innovations to incorporate in our solutions and ensure our platforms are future proof.  This role provides the opportunity for a strong leader to directly and materially impact billions of dollars in revenue, working closely with business, tech, and data science teams in a highly collaborative space with significant leadership visibility.

What You’ll Do:

• Own product strategy and roadmap for Wayfair’s Martech Bidding & Decisioning systems
• Partner with marketing, engineering, and data science to develop decisioning solutions that improve marketing ROI and enhance customer experiences to drive growth
• Develop a deep understanding of the business and digital marketing space (general tech, vendor capabilities, etc.); utilize this to identify opportunities and translate into clear requirements for data science and engineering
• Keep up-to-date on the latest AI & ML trends; work closely with Data Science to test, integrate, and scale the use of cutting edge ML approaches
• Work with engineering and data science to ensure we are building scalable and extensible tech solutions supporting best in breed ML capabilities
• Partner closely with fellow PMs to integrate decisioning with the broader Martech stack; work with PMs across the business (e.g. Storefront) to expand the use of decisioning where applicable and maximize impact
• Establish strong relationships with vendor and publisher partners (e.g. Search Engines, Social Networks, etc.); stay ahead of their feature releases and roadmaps, incorporating this into Wayfair’s B&D product strategy
• Regularly perform market discovery; surface and apply new tech and/or ML approaches to Wayfair’s decisioning strategy
• Communicate regularly with leadership across both tech and marketing; translate technical and domain specific language into comms for a road audience

We Are A Good Match Because You Have:

• 4+ years experience in B2B software/SaaS product management or highly related Martech or Data Science roles
• Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent of education and experience
• Understanding of common digital marketing tech/platforms and publishers, and/or a strong interest in digital marketing tech; previous experience with major digital marketing publishers (Google, Meta, Pinterest, DSPs, etc.) a plus
• Previous experience with digital marketing decisioning (e.g. spend management, content optimization, segmentation, etc.) and/or ML decisioning systems
• Able to structure problems, develop clear problem statements and hypothesis, and prioritize work using business understanding and data
• Familiarity with analytical tools (e.g. SQL, Excel) and comfort with large complex data sets
• Experience working closely with engineering and/or DS teams, prioritizing backlogs and providing domain context to make the team more effective
• Strong stakeholder management and communication skills; consistently keep teams updated on platform strategy and progress
• Effective written communication with a talent for simplifying complexity to drive alignment via product requirement docs, briefs, user stories, etc.

Why You’ll Love Wayfair:

• Time Off:
• Paid Holidays
• Paid Time Off (PTO)
• Paid Sick Days
• Health & Wellness:
• Health & DentalBenefits 
• Life Insurance
• Disability Protection (Short Term & Long Term Disability) 
• Global Wellbeing: Gym/Fitness discounts (including Peloton, Global ClassPass,)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• Financial Growth & Security:
• RRSP (Registered Retirement Savings Plan)
• Tuition Reimbursement 
• Family Support:
• Parental Leave Top-Up Program
• Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• Rewards & Recognition 
• Global Employee Anniversary Awards 
• Paid Volunteer Work 
• Unique Perks:
• Employee Discount 
• Global Pod Outings
• Work/Life Balance:
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments