Senior Product Manager, Bidding & Decisioning

August 10

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Wayfair

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Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home$1. .$1

E-Commerce • Technology • Online Retail • Internet Marketing • Software Engineering

14172 - 14172

💰 $1.3G Post-IPO Debt on 2020-08

Description

• 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

Requirements

• 4+ years experience in B2B software/SaaS product management or highly related Martech or Data Science roles • 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.

Benefits

• Paid Holidays • Paid Time Off (PTO) • 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 • 401K Matching (Employee Matching Program) • Tuition Reimbursement • Financial Health Education (Knowledge of Financial Education - KOFE) • Tax Advantaged Accounts • Family Planning Support • Parental Leave • Global Surrogacy & Adoption Policy • Rewards & Recognition • Global Employee Anniversary Awards • Paid Volunteer Work • Employee Discount • U.S. Bluebikes Membership • Global Pod Outings • Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments