Senior Product Manager - Technical (Adoption and Change Management)
QXO
Listing collected from QXO's career site. NextChapter is independent of QXO.
Seattle, WA · Posted November 4, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 336 open senior product manager listings that state pay, the middle half runs $168,000 to $204,500 and the median is $185,000.
Listed pay is what employers advertise, not what people are paid.
Senior Product Manager salaries by state · Check your own pay
How AI is used in this kind of work
Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America’s largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com.
What you'll do:
As a Senior Product Manager, Technical (Adoption and Change Management), you will make sure the forecasting, planning, analytics and sales products we build are used and trusted across QXO. Our applied scientists and engineers build strong forecasts and modern tools. You will own the operating contract around them, which sets who produces each number, who signs off, who receives it and when, and how teams change the way they work.
You will work with applied science, FP&A, sales and operations planning (S&OP), demand planning, sales enablement and training teams. You will write the standard operating procedures, run change programs, and measure success by adoption and value delivered, not by launches.
Key Responsibilities
Own the Forecast Release Process : Define and run the standard operating procedure for each forecast release, including producers, sign-off, audiences, a release calendar and one accuracy definition per level.
Bring Models into Daily Planning : Partner with applied science and demand planning to move new models into S&OP workflows, with governed overrides, reason codes and usage tracking.
Set Up Event Response Processes : Define how weather and other event-driven insights are produced, reviewed and shared, including a fast path for major events.
Lead Tool Transitions : Run change management for finance and planning users moving to supported tools, from readiness and training to cutover and support.
Drive Sales Technology Adoption : Partner with sales enablement on CRM rollouts and AI agent adoption, with an adoption scorecard for each.
Align Stakeholders : Run working groups and leadership reviews, and turn disagreements into documented decisions and agreed ways of working.
Close the Loop with Product : Turn user feedback and process gaps into requirements and priorities for product and engineering teams.
Data-driven Decision Making : Track adoption metrics such as releases on calendar with sign-off, active use, override rates and SOP coverage, and report progress to leadership.
What you'll bring:
Qualifications & Skills
6+ years of Technical Product Management, product operations or change management experience, with 3+ years leading adoption of analytics, planning or enterprise software.
3 years of experience taking new products or processes from 0:1 end to end, through rollout and adoption.
Proven track record of leading organizational change for data or software products across multiple business teams.
Experience in demand planning, S&OP, FP&A or sales operations, and comfort working with forecasts and accuracy metrics.
Strong facilitation and stakeholder management skills with senior leaders and front-line users.
Clear written communication, including standard operating procedures, decision documents and training material
Strong planning, prioritization, and cross-functional communication skills.
Bachelor's degree or equivalent practical experience.
Preferred Qualifications:
MBA or an advanced degree in a quantitative or business field.
Change management certification or training, such as Prosci or ADKAR.
Experience rolling out forecasting, S&OP or planning platforms.
Experience with CRM or sales enablement rollouts.
Experience working with applied science or machine learning teams to put models into daily use.
Background in distribution, supply chain or other multi-location B2B businesses.
What you'll earn
Base pay range: $145,000 - $275,000
Annual performance bonus
Long term incentive (equity/stock)
401(k) with employer match
Medical, dental, and vision insurance
PTO, company holidays, and parental leave
Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.
Paid training and certifications
Legal assistance and identity protection
Pet insurance
Employee assistance program (EAP)
QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.
To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.
Please contact careers@QXO.com if you have any questions related to this job posting.
Salary Range:
USD $145,000.00 - USD $275,000.00 /Yr.
As a Senior Product Manager, Technical (Adoption and Change Management), you will make sure the forecasting, planning, analytics and sales products we build are used and trusted across QXO. Our applied scientists and engineers build strong forecasts and modern tools. You will own the operating contract around them, which sets who produces each number, who signs off, who receives it and when, and how teams change the way they work.
You will work with applied science, FP&A, sales and operations planning (S&OP), demand planning, sales enablement and training teams. You will write the standard operating procedures, run change programs, and measure success by adoption and value delivered, not by launches.
Key Responsibilities
Own the Forecast Release Process : Define and run the standard operating procedure for each forecast release, including producers, sign-off, audiences, a release calendar and one accuracy definition per level.
Bring Models into Daily Planning : Partner with applied science and demand planning to move new models into S&OP workflows, with governed overrides, reason codes and usage tracking.
Set Up Event Response Processes : Define how weather and other event-driven insights are produced, reviewed and shared, including a fast path for major events.
Lead Tool Transitions : Run change management for finance and planning users moving to supported tools, from readiness and training to cutover and support.
Drive Sales Technology Adoption : Partner with sales enablement on CRM rollouts and AI agent adoption, with an adoption scorecard for each.
Align Stakeholders : Run working groups and leadership reviews, and turn disagreements into documented decisions and agreed ways of working.
Close the Loop with Product : Turn user feedback and process gaps into requirements and priorities for product and engineering teams.
Data-driven Decision Making : Track adoption metrics such as releases on calendar with sign-off, active use, override rates and SOP coverage, and report progress to leadership.
Qualifications & Skills
6+ years of Technical Product Management, product operations or change management experience, with 3+ years leading adoption of analytics, planning or enterprise software.
3 years of experience taking new products or processes from 0:1 end to end, through rollout and adoption.
Proven track record of leading organizational change for data or software products across multiple business teams.
Experience in demand planning, S&OP, FP&A or sales operations, and comfort working with forecasts and accuracy metrics.
Strong facilitation and stakeholder management skills with senior leaders and front-line users.
Clear written communication, including standard operating procedures, decision documents and training material
Strong planning, prioritization, and cross-functional communication skills.
Bachelor's degree or equivalent practical experience.
Preferred Qualifications:
MBA or an advanced degree in a quantitative or business field.
Change management certification or training, such as Prosci or ADKAR.
Experience rolling out forecasting, S&OP or planning platforms.
Experience with CRM or sales enablement rollouts.
Experience working with applied science or machine learning teams to put models into daily use.
Background in distribution, supply chain or other multi-location B2B businesses.