Customer Solutions Manager Jobs in Washington
Customer Solutions Manager jobs in Washington are concentrated in technology, cloud services, enterprise software, and e-commerce, reflecting the state's dominant role as one of the most active markets for this position in the country. Most hiring is in Seattle, Bellevue, and Redmond, where employers like Microsoft, Amazon, and Salesforce maintain large and established operations. The highest-demand specialties are cloud platform onboarding, enterprise account management, and SaaS implementation support, with openings at mid-level and senior levels. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 12+ Customer Solutions Manager jobs
DESCRIPTION
You will lead a multi-disciplinary team – scientists, data engineers, business intelligence engineers, and analysts – who will build the data strategy these new systems require and the measurement science that reshapes how every network decision is made. At the core is a unified measurement framework that measures the value of experiences across customers, associates, and our business, drawing on causal inference, economics, operations, and behavioral science. You will create the underlying logic for how we plan capacity, route customers, develop associates, and allocate resources – and serve as an interface and work closely with partner teams within Customer Service, including the CS-wide Data Intelligence organization.
The ideal candidate brings deep cross-disciplinary experience in data science, measurement, and operations – a track record of building and leading data and insights organizations from 0-to-1, the scientific depth to drive novel measurement frameworks, and the rare ability to blend quantitative rigor with an understanding of human systems – developing the right logic to drive decision-making at scale.
Key job responsibilities
- Build and lead the Network Solutions data and analytics organization: provide unified leadership across business intelligence engineering, data engineering, analytics, and reporting; recruit, grow, and retain a team spanning measurement scientists, data engineers, and analysts, building the function from 0-to-1
- Drive the measurement science and decisioning core: develop the causal inference-based framework that quantifies value creation across multiple dimensions; establish methodology standards, signal definitions, and utility function design that give Network Solutions a unified view of performance
- Own the Network Solutions data foundation: own critical signal pipelines, govern data quality, and build a composable data architecture that all Network Solutions product and science teams build on; ensure measurements are interoperable across planning, routing, incident management, and workforce systems
- Integrate measurement science into production systems: demonstrate the shift to value-informed decision-making; partner with product and engineering teams to embed measurement frameworks into planning, routing, and resource allocation
- Interface with Amazon CS and company-wide data, analytics, and science organizations: represent Network solutions as a peer partner to central data infrastructure, customer experience measurement, and applied science functions; consolidate Network Solutions data demand into a clear, prioritized voice
- Drive adoption of data standards and measurement frameworks: translate complex models and multi-dimensional utility functions into intuitive, actionable insights for non-technical stakeholders; establish shared measurement standards that teams across the organization can build on
- Develop the long-term data and science roadmap: anticipate future needs as the organization scales; identify opportunities to extend measurement capabilities beyond Network Solutions
About the team
Network Solutions sits at the intersection of customer experience and associate experience within Amazon Customer Service, owning the logic and infrastructure that determines how those two sides are balanced, served, and optimized together. On one side is the customer: their experience, their journey, and the AI automation that increasingly shapes both. On the other side is the associate: their work, their well-being, and the conditions that make them effective. Network Solutions sits at the center, owning demand forecasting, network planning, routing and matching, real-time observability, and workforce strategy – including the long-term design of the network itself as the balance between AI and human engagement continues to evolve.
We are building the next generation of systems that will transform how Customer Service operates using intelligent, adaptive capabilities that learn and improve continuously.
BASIC QUALIFICATIONS
- MS in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field
- Track record of leading the design and delivery of scientific or analytical frameworks that have influenced organizational decision-making at scale
- Demonstrated experience building and leading multi-disciplinary data organizations – including data engineering, business intelligence, and analytics functions – ideally from 0-to-1
- Experience serving as a strategic partner to senior business leaders and cross-functional peers, translating data and science capabilities into business impact
PREFERRED QUALIFICATIONS
- PhD in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field
- 15+ years of relevant experience after PhD spanning data science, measurement science, analytics, or operations research
- Cross-disciplinary background spanning two or more of: measurement science, causal inference, industrial engineering, behavioral economics, human factors, operations research, or business intelligence
- Experience building data and insights organizations within customer service, customer support, or operations domains at global scale
- Familiarity with causal inference methods, utility function design, or value measurement frameworks applied to service operations or network optimization
- Experience as a primary liaison between a domain-specific data organization and centralized data, science, or analytics functions – consolidating demand, aligning roadmaps, and building durable partnerships
- Background in usability research, associate experience design, or behavioral science – bringing human-centered methods into operational decision-making
- Experience building and governing analytics and reporting infrastructure, including ownership through transitions in centralized data services
- Demonstrated ability to lead without authority across organizational boundaries, bridging science, product, engineering, and operations teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 250,000.00 - 338,200.00 USD annually
DESCRIPTION
You will lead a multi-disciplinary team – scientists, data engineers, business intelligence engineers, and analysts – who will build the data strategy these new systems require and the measurement science that reshapes how every network decision is made. At the core is a unified measurement framework that measures the value of experiences across customers, associates, and our business, drawing on causal inference, economics, operations, and behavioral science. You will create the underlying logic for how we plan capacity, route customers, develop associates, and allocate resources – and serve as an interface and work closely with partner teams within Customer Service, including the CS-wide Data Intelligence organization.
The ideal candidate brings deep cross-disciplinary experience in data science, measurement, and operations – a track record of building and leading data and insights organizations from 0-to-1, the scientific depth to drive novel measurement frameworks, and the rare ability to blend quantitative rigor with an understanding of human systems – developing the right logic to drive decision-making at scale.
Key job responsibilities
- Build and lead the Network Solutions data and analytics organization: provide unified leadership across business intelligence engineering, data engineering, analytics, and reporting; recruit, grow, and retain a team spanning measurement scientists, data engineers, and analysts, building the function from 0-to-1
- Drive the measurement science and decisioning core: develop the causal inference-based framework that quantifies value creation across multiple dimensions; establish methodology standards, signal definitions, and utility function design that give Network Solutions a unified view of performance
- Own the Network Solutions data foundation: own critical signal pipelines, govern data quality, and build a composable data architecture that all Network Solutions product and science teams build on; ensure measurements are interoperable across planning, routing, incident management, and workforce systems
- Integrate measurement science into production systems: demonstrate the shift to value-informed decision-making; partner with product and engineering teams to embed measurement frameworks into planning, routing, and resource allocation
- Interface with Amazon CS and company-wide data, analytics, and science organizations: represent Network solutions as a peer partner to central data infrastructure, customer experience measurement, and applied science functions; consolidate Network Solutions data demand into a clear, prioritized voice
- Drive adoption of data standards and measurement frameworks: translate complex models and multi-dimensional utility functions into intuitive, actionable insights for non-technical stakeholders; establish shared measurement standards that teams across the organization can build on
- Develop the long-term data and science roadmap: anticipate future needs as the organization scales; identify opportunities to extend measurement capabilities beyond Network Solutions
About the team
Network Solutions sits at the intersection of customer experience and associate experience within Amazon Customer Service, owning the logic and infrastructure that determines how those two sides are balanced, served, and optimized together. On one side is the customer: their experience, their journey, and the AI automation that increasingly shapes both. On the other side is the associate: their work, their well-being, and the conditions that make them effective. Network Solutions sits at the center, owning demand forecasting, network planning, routing and matching, real-time observability, and workforce strategy – including the long-term design of the network itself as the balance between AI and human engagement continues to evolve.
We are building the next generation of systems that will transform how Customer Service operates using intelligent, adaptive capabilities that learn and improve continuously.
BASIC QUALIFICATIONS
- MS in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field
- Track record of leading the design and delivery of scientific or analytical frameworks that have influenced organizational decision-making at scale
- Demonstrated experience building and leading multi-disciplinary data organizations – including data engineering, business intelligence, and analytics functions – ideally from 0-to-1
- Experience serving as a strategic partner to senior business leaders and cross-functional peers, translating data and science capabilities into business impact
PREFERRED QUALIFICATIONS
- PhD in a STEM field – industrial engineering, operations research, statistics, computer science, economics, or a related technical field
- 15+ years of relevant experience after PhD spanning data science, measurement science, analytics, or operations research
- Cross-disciplinary background spanning two or more of: measurement science, causal inference, industrial engineering, behavioral economics, human factors, operations research, or business intelligence
- Experience building data and insights organizations within customer service, customer support, or operations domains at global scale
- Familiarity with causal inference methods, utility function design, or value measurement frameworks applied to service operations or network optimization
- Experience as a primary liaison between a domain-specific data organization and centralized data, science, or analytics functions – consolidating demand, aligning roadmaps, and building durable partnerships
- Background in usability research, associate experience design, or behavioral science – bringing human-centered methods into operational decision-making
- Experience building and governing analytics and reporting infrastructure, including ownership through transitions in centralized data services
- Demonstrated ability to lead without authority across organizational boundaries, bridging science, product, engineering, and operations teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 250,000.00 - 338,200.00 USD annually
See All 12 Customer Solutions Manager Jobs in Washington
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Find JobsCustomer Solutions Manager Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Customer Solutions Manager Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
- Cybersecurity
- Media & Entertainment
- Biotechnology & Pharmaceuticals
What Washington Employers Look For
The qualifications that appear most often in customer solutions manager jobs across Washington.
- Bachelor's degree in business, communications, technology, or a related field required
- Three or more years of customer-facing account management or solutions consulting experience
- Demonstrated experience managing enterprise or mid-market B2B client relationships end to end
- Proficiency with CRM platforms such as Salesforce or Microsoft Dynamics for pipeline management
- Strong cross-functional collaboration skills working with sales, product, and technical teams
- Experience with SaaS, cloud services, or technology platform implementations strongly preferred
Customer Solutions Manager Jobs in Washington: Frequently Asked Questions
How do you become a customer solutions manager in Washington?
Most Washington employers expect a bachelor's degree in business, communications, or a technical field, combined with prior experience in customer success, account management, or solutions consulting. There is no state-issued license required for this role in Washington. Candidates who have earned industry-recognized credentials such as Salesforce certifications or cloud platform accreditations from major providers consistently stand out in the Seattle and Bellevue hiring markets.
Which companies hire customer solutions managers in Washington?
Companies currently hiring customer solutions managers in Washington include Amazon Web Services, Ericsson, and Amazon, per current listings on Migrate Mate as of August 2026. Washington's concentration of global technology and cloud companies means demand for this role is especially consistent across the greater Seattle metro.
Which Washington cities have the most customer solutions manager jobs?
Seattle, Washington State, and Spokane have the most customer solutions manager openings in Washington. Seattle anchors the market as the home base for major technology and enterprise software operations, while Bellevue and Redmond draw substantial hiring volumes from large campuses and regional headquarters that require dedicated customer solutions teams for their enterprise client portfolios.
Are there remote customer solutions manager jobs in Washington?
Yes, and more than most fields. About 67% of customer solutions manager openings tied to Washington are remote or hybrid as of August 2026, reflecting how naturally the role translates to digital communication and cloud-based collaboration tools. Responsibilities like onboarding coordination, account reviews, and renewal management are the functions most commonly performed fully remote.
How can I get hired as a customer solutions manager in Washington with little or no experience?
The most realistic entry path is moving laterally from a customer support, technical support, or inside sales role at a Washington technology company. Large employers in the Seattle area regularly promote from customer support and associate account management positions into customer solutions manager tracks, making those roles a practical starting point. Completing a Salesforce or cloud platform certification before applying adds measurable weight to an otherwise thin resume, and targeting associate or junior customer success openings at mid-size Bellevue and Redmond software companies gives candidates the fastest route to hands-on experience.
Where can I find and apply to customer solutions manager jobs in Washington?
You can find and apply to customer solutions manager jobs in Washington on Migrate Mate, which lists current Washington openings. Search the roles available, find the ones that match your experience and location preference, and apply directly to the positions that fit.
See All 12 Customer Solutions Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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