Role at a glance
- Job function
-
Product, Strategy & Operations Business Operations Program & Project Management
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States Arlington, Virginia, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Master's
Spotted an issue?
We’ll check it against the original posting.
Qualifications
Required
- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
Preferred
- 2+ years of driving process improvements experience
- Master's degree in Engineering (Industrial or Mechanical), Operations Research, or related fields
- Lean Six Sigma Green Belt or Black Belt certification
- Experience in sales operations or sales strategy in a mid-to-large-scale tech company
- Familiarity with AI-assisted tooling, process mining platforms, or automation frameworks
About the role
Original posting provided by amazon
Are you someone who questions whether constraints should exist at all — rather than optimizing within them? Do you thrive on transforming broken, missing, or invisible processes into measurable, scalable systems?
The Process Engineering team — part of Strategic Planning & Engagement (SPE) within Sales, Marketing & Global Services — is Amazon's operational excellence capability that combines Lean Six Sigma rigor with the ability to build scalable mechanisms that put diagnostic power in the hands of business leaders.
We are looking for a Process Engineer who digs into root causes and redesigns processes from scratch — working backwards from the business problem and the customer. You will lead strategic initiatives spanning multiple teams within a VP-level organization, where the process is broken, missing, or invisible. Your job is to make it measurable, simple, and scalable.
You will apply Lean Six Sigma methodology — not as a rigid framework, but as a thinking system adapted to each problem. Some engagements require full Define-Measure-Analyze-Improve-Control rigor across months; others demand rapid diagnostic cycles in days. What remains constant: you start with the problem, not the process. You simplify before you automate. You deliver outcomes, not reports.
A differentiating capability of this role is defining and standardizing processes with enough fidelity to be operationalized by AI agents — specifying decision logic, branching conditions, exception-handling paths, and measurable acceptance criteria that determine when a process outcome is valid without human review.
Key job responsibilities
Lead the full lifecycle of complex, cross-functional process improvement initiatives spanning multiple teams — from diagnosis through implementation — using Lean Six Sigma and data-driven methodologies to deliver measurable impact
Conduct direct observation of processes where work happens, identify operational bottlenecks through quantitative analysis and process mining, and translate findings into structured process designs
Define and standardize business processes with sufficient detail to be operationalized through AI agents and automation — specifying decision logic, exception-handling paths, role-accountable handoffs, and measurable acceptance criteria
Partner with business, product, and engineering teams to translate ambiguous requirements into scalable solutions; define measurement frameworks that quantify business impact; and author initial standard operating procedures during process design
Drive adoption of standardized methodologies across organizations, influence senior stakeholders without direct authority, and build repeatable frameworks that reduce complexity and sustain independently
A day in the life
You will start your week embedded in the business — observing how work actually flows and identifying where friction lives. Mid-week, you are deep in data: running root cause analysis, mapping value streams, and validating hypotheses with stakeholders across the organization. By end of week, you are translating findings into structured process designs — complete with decision logic, handoff accountabilities, and acceptance criteria detailed enough for AI-agent execution. You will regularly present to senior leaders, collaborate across teams, and coach colleagues on methodology.
About the team
Process Engineering is one of six functions within Strategic Planning & Engagement (SPE), a team whose mission is to be a force multiplier for SMGS Ops organizational effectiveness and excellence. We are Lean Six Sigma practitioners and operational excellence experts who drive efficiency through data-driven insights, strategic planning, and business optimization. We work across the organization on the hardest process problems — the ones that are ambiguous, cross-functional, and invisible until someone makes them measurable. We value curiosity over credentials, outcomes over activity, and sustainable systems over one-time fixes.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Master's degree in Engineering (Industrial or Mechanical), Operations Research, or related fields
- Lean Six Sigma Green Belt or Black Belt certification
- Experience in sales operations or sales strategy in a mid-to-large-scale tech company
- Familiarity with AI-assisted tooling, process mining platforms, or automation frameworks
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.
USA, TX, Dallas - 115,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually
The Process Engineering team — part of Strategic Planning & Engagement (SPE) within Sales, Marketing & Global Services — is Amazon's operational excellence capability that combines Lean Six Sigma rigor with the ability to build scalable mechanisms that put diagnostic power in the hands of business leaders.
We are looking for a Process Engineer who digs into root causes and redesigns processes from scratch — working backwards from the business problem and the customer. You will lead strategic initiatives spanning multiple teams within a VP-level organization, where the process is broken, missing, or invisible. Your job is to make it measurable, simple, and scalable.
You will apply Lean Six Sigma methodology — not as a rigid framework, but as a thinking system adapted to each problem. Some engagements require full Define-Measure-Analyze-Improve-Control rigor across months; others demand rapid diagnostic cycles in days. What remains constant: you start with the problem, not the process. You simplify before you automate. You deliver outcomes, not reports.
A differentiating capability of this role is defining and standardizing processes with enough fidelity to be operationalized by AI agents — specifying decision logic, branching conditions, exception-handling paths, and measurable acceptance criteria that determine when a process outcome is valid without human review.
Key job responsibilities
Lead the full lifecycle of complex, cross-functional process improvement initiatives spanning multiple teams — from diagnosis through implementation — using Lean Six Sigma and data-driven methodologies to deliver measurable impact
Conduct direct observation of processes where work happens, identify operational bottlenecks through quantitative analysis and process mining, and translate findings into structured process designs
Define and standardize business processes with sufficient detail to be operationalized through AI agents and automation — specifying decision logic, exception-handling paths, role-accountable handoffs, and measurable acceptance criteria
Partner with business, product, and engineering teams to translate ambiguous requirements into scalable solutions; define measurement frameworks that quantify business impact; and author initial standard operating procedures during process design
Drive adoption of standardized methodologies across organizations, influence senior stakeholders without direct authority, and build repeatable frameworks that reduce complexity and sustain independently
A day in the life
You will start your week embedded in the business — observing how work actually flows and identifying where friction lives. Mid-week, you are deep in data: running root cause analysis, mapping value streams, and validating hypotheses with stakeholders across the organization. By end of week, you are translating findings into structured process designs — complete with decision logic, handoff accountabilities, and acceptance criteria detailed enough for AI-agent execution. You will regularly present to senior leaders, collaborate across teams, and coach colleagues on methodology.
About the team
Process Engineering is one of six functions within Strategic Planning & Engagement (SPE), a team whose mission is to be a force multiplier for SMGS Ops organizational effectiveness and excellence. We are Lean Six Sigma practitioners and operational excellence experts who drive efficiency through data-driven insights, strategic planning, and business optimization. We work across the organization on the hardest process problems — the ones that are ambiguous, cross-functional, and invisible until someone makes them measurable. We value curiosity over credentials, outcomes over activity, and sustainable systems over one-time fixes.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Basic Qualifications
- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
Preferred Qualifications
- 2+ years of driving process improvements experience- Master's degree in Engineering (Industrial or Mechanical), Operations Research, or related fields
- Lean Six Sigma Green Belt or Black Belt certification
- Experience in sales operations or sales strategy in a mid-to-large-scale tech company
- Familiarity with AI-assisted tooling, process mining platforms, or automation frameworks
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, TX, Dallas - 115,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.