Senior Level Advertising Manager Jobs
Senior level advertising manager jobs place experienced professionals in charge of brand strategy, campaign architecture, and the teams or agency relationships that deliver measurable results. Openings cover 0% remote and hybrid arrangements across E-Commerce & Online Marketplaces, Marketing & Advertising, and Retail, with employers like Taboola, Wayfair, and Amazon hiring at this level now.
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Wayfair's Customer Technology organization is at the forefront of shaping how millions of customers discover and engage with products. We leverage cutting-edge machine learning, artificial intelligence, and data-driven strategies to deliver personalized shopping experiences. As a member of our organization, you'll be part of a team designing, implementing, and optimizing systems that optimize advertising goals, enhance search capabilities, develop highly relevant product recommendations, and drive innovative marketing solutions.
What You’ll Do:
- Lead our Intelligent Bidding pod within the Advertising Science Machine Learning group responsible for building 0-to-1 intelligent bidding capabilities (e.g. target ROAS, dynamic bidding, etc.) for Wayfair’s advertising platform.
- Hire, develop, and coach a talented team of ML scientists to build scalable ML decisioning systems that directly contribute to Wayfair’s bottom-line.
- Partner closely with cross-functional partners across engineering, science, analytics and product to develop science strategy and roadmap for Supplier Ads bidding systems.
- Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve supplier experience, ROAS, and spend on Wayfair’s Sponsored Products.
- Build robust monitoring, alerting, and edge-case handling mechanisms.
- Collaborate closely across multiple science and engineering teams to drive robust integration of our smart bidding platform with the existing infrastructure & systems.
- Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
Who You Are:
- 6+ years of experience (ideally with 2+ YOE as lead/manager) building advanced machine learning models that solve real-world problems.
- Strong theoretical grasp of machine learning concepts combined with hands-on expertise deploying web-scale ML-based decision-making systems into production.
- Hands-on and technical manager who can engage deeply with both core algorithm development and system design & architecture.
- Experience with data-driven opportunity sizing & prioritization and bias towards building things iteratively (and learning as we go).
- You are comfortable making complex decisions (even when faced with ambiguity), making pragmatic tradeoffs, and using goal-setting frameworks (e.g. OKRs).
- You have a track record of coaching and mentoring junior ML scientists and engineers - ranging from fresh PhD graduates to experienced ML scientists.
- Experience working with commercial stakeholders to translate business objectives to appropriately-scoped ML model/system and ensuring commercial and ML objectives remain tightly aligned.
- Strong written & verbal communication skills and ability to influence senior-level stakeholders and steer overall strategy based on data-driven recommendations and analysis.
- Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
- Nice to have:
- Experience building intelligent bidding and/or advertising systems (e.g. CPC bidding, tROAS, etc.) for eCommerce and/or other 2-sided marketplaces.
- Experience with online learning, RL, or ML-based control systems.
- 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
An Important Note about Wayfair's In-Office Policy:
All Boston-based corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days Tuesday, Wednesday, and Thursday, and work remotely Monday and Friday. This role is also open to sit in Seattle, WA.
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
Need Technical Assistance?
For more information about applying for a career at wayfair, visit our FAQ page here.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
Wayfair's Customer Technology organization is at the forefront of shaping how millions of customers discover and engage with products. We leverage cutting-edge machine learning, artificial intelligence, and data-driven strategies to deliver personalized shopping experiences. As a member of our organization, you'll be part of a team designing, implementing, and optimizing systems that optimize advertising goals, enhance search capabilities, develop highly relevant product recommendations, and drive innovative marketing solutions.
What You’ll Do:
- Lead our Intelligent Bidding pod within the Advertising Science Machine Learning group responsible for building 0-to-1 intelligent bidding capabilities (e.g. target ROAS, dynamic bidding, etc.) for Wayfair’s advertising platform.
- Hire, develop, and coach a talented team of ML scientists to build scalable ML decisioning systems that directly contribute to Wayfair’s bottom-line.
- Partner closely with cross-functional partners across engineering, science, analytics and product to develop science strategy and roadmap for Supplier Ads bidding systems.
- Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve supplier experience, ROAS, and spend on Wayfair’s Sponsored Products.
- Build robust monitoring, alerting, and edge-case handling mechanisms.
- Collaborate closely across multiple science and engineering teams to drive robust integration of our smart bidding platform with the existing infrastructure & systems.
- Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
Who You Are:
- 6+ years of experience (ideally with 2+ YOE as lead/manager) building advanced machine learning models that solve real-world problems.
- Strong theoretical grasp of machine learning concepts combined with hands-on expertise deploying web-scale ML-based decision-making systems into production.
- Hands-on and technical manager who can engage deeply with both core algorithm development and system design & architecture.
- Experience with data-driven opportunity sizing & prioritization and bias towards building things iteratively (and learning as we go).
- You are comfortable making complex decisions (even when faced with ambiguity), making pragmatic tradeoffs, and using goal-setting frameworks (e.g. OKRs).
- You have a track record of coaching and mentoring junior ML scientists and engineers - ranging from fresh PhD graduates to experienced ML scientists.
- Experience working with commercial stakeholders to translate business objectives to appropriately-scoped ML model/system and ensuring commercial and ML objectives remain tightly aligned.
- Strong written & verbal communication skills and ability to influence senior-level stakeholders and steer overall strategy based on data-driven recommendations and analysis.
- Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
- Nice to have:
- Experience building intelligent bidding and/or advertising systems (e.g. CPC bidding, tROAS, etc.) for eCommerce and/or other 2-sided marketplaces.
- Experience with online learning, RL, or ML-based control systems.
- 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
An Important Note about Wayfair's In-Office Policy:
All Boston-based corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days Tuesday, Wednesday, and Thursday, and work remotely Monday and Friday. This role is also open to sit in Seattle, WA.
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
Need Technical Assistance?
For more information about applying for a career at wayfair, visit our FAQ page here.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
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- E-Commerce & Online Marketplaces
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Senior Level Advertising Manager Jobs: Frequently Asked Questions
How do I get a senior level advertising manager job?
Employers at this level want candidates who have owned full campaign budgets, directed cross-functional teams, and can demonstrate measurable business outcomes from their work. A portfolio showing strategic leadership, not just execution, is essential. Expertise in media planning, performance analytics, and brand positioning, combined with a history of mentoring junior staff, gives candidates a clear edge over mid-level applicants.
Which companies hire senior level advertising managers?
Companies hiring senior level advertising managers right now include Taboola, Wayfair, and Amazon, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large brands managing significant ad spend, agencies handling enterprise accounts, and fast-growing companies building out their in-house marketing leadership.
Are there remote senior level advertising manager jobs?
Yes, and the share is substantial. About 0% of senior level advertising manager openings are remote or hybrid as of September 2026, reflecting how many organizations now trust experienced advertising leaders to manage teams and campaigns without being on-site daily. Fully remote roles are more common at the senior level than at earlier career stages.
What makes an advertising manager role senior level?
Senior level roles are defined by scope and accountability. Rather than executing campaigns under direction, senior advertising managers set strategy, own budgets, and are responsible for business outcomes. They typically lead teams or agency partners, make platform and channel allocation decisions independently, and mentor less experienced colleagues. The expectation is autonomous judgment, not supervised delivery.
Which industries hire the most senior level advertising managers?
Senior level advertising manager roles concentrate in E-Commerce & Online Marketplaces, Marketing & Advertising, and Retail, based on current listings on Migrate Mate as of September 2026. These sectors consistently invest in advertising leadership because competitive pressure, large customer acquisition budgets, or frequent product launches require experienced managers who can align paid media strategy with broader business goals.