6,159 Amazon Logistics jobs in the United States

Description
Are you excited to drive high-visibility, strategic logistics and technology solutions to help streamline Amazon's operations?
Amazon Logistics (AMZL) Topology Planning is looking for a motivated individual with strong analytical skills, supply chain knowledge, and technology experience to join our team as a Supply Chain Manager. In this position, the successful candidate will own mid to long term topology strategy, site selection, site approval process, short and long term build plan management, and topology optimization engine for Amazon delivery station planning. This position requires working with multiple stakeholders across various supply chain functions like outbound transportation, real estate, engineering, launch, finance, operations, sales and operation planning. This role is a high visibility role as it requires regular interaction with the leadership team and involves critical decision making. Finally, this position develops and implements ideas to drive continuous improvement by simplifying the process, creating additional value, and driving automation.
A day in the life
This role combines strategic thinking, data analytics, stakeholder management and hands-on problem solving - all with a direct impact on Amazon's global last mile delivery network.
Every day is a new adventure with opportunities to work backwards from customer needs across diverse LATAM, APAC and MENA regions. You will leverage data-driven models to develop long-term AMZL build plans and lead scenario analysis to guide decision making as teams drive towards your plan. You will have opportunity to develop business cases for innovative delivery solutions, automate manual processes, and/or develop new modelling solutions for the network.
If you enjoy solving ambiguous problems with a high-degree of autonomy, this role might be the one for you!
Basic Qualifications
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- 2+ years of supply chain experience
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,200/year in our lowest geographic market up to $141,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you excited to drive high-visibility, strategic logistics and technology solutions to help streamline Amazon's operations?
Amazon Logistics (AMZL) is looking for a motivated individual with strong analytical skills, supply chain knowledge, and technology experience to join our team as a Supply Chain Manager. In this position, the successful candidate will own mid to long term topology strategy, site selection, site approval process, short and long term build plan management, and topology optimization engine for Amazon delivery station planning. This position requires working with multiple stakeholders across various supply chain functions like outbound transportation, real estate, engineering, launch, finance, operations, sales and operation planning. This role is a high visibility role as it requires regular interaction with the leadership team and involves critical decision making. Finally, this position develops and implements ideas to drive continuous improvement by simplifying the process, creating additional value, and driving automation.
Key job responsibilities
- Working with other technical teams on supply chain strategy
- Developing critical reports and presenting to senior leaders
- Driving scale and strategic places for customers in hard to reach places
- Leading ambiguious initiatives from pilot to scale across the country
- Running cost benefit analysis on multiple scenarios for the best forms of customer fulfillment - Presenting final recommendations to leaders
A day in the life
This role combines strategic thinking, data analytics, stakeholder management and hands-on problem solving - all with a direct impact on Amazon's global last mile delivery network.
Every day is a new adventure with opportunities to work backwards from customer needs and solve complex real work problems. You will leverage data-driven models to develop long-term AMZL build plans and lead scenario analysis to guide decision making as teams drive towards your plan. You will have opportunity to develop business cases for innovative delivery solutions, automate manual processes, and/or develop new modelling solutions for the network.
If you enjoy solving ambiguous problems with a high-degree of autonomy, this role might be the one for you!
Basic Qualifications
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- 2+ years of supply chain experience
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,200/year in our lowest geographic market up to $141,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you excited to drive high-visibility, strategic logistics and technology solutions to help streamline Amazon's operations?
Amazon Logistics (AMZL) Topology Planning is looking for a motivated individual with strong analytical skills, supply chain knowledge, and technology experience to join our team as a Supply Chain Manager. In this position, the successful candidate will own mid to long term topology strategy, site selection, site approval process, short and long term build plan management, and topology optimization engine for Amazon delivery station planning. This position requires working with multiple stakeholders across various supply chain functions like outbound transportation, real estate, engineering, launch, finance, operations, sales and operation planning. This role is a high visibility role as it requires regular interaction with the leadership team and involves critical decision making. Finally, this position develops and implements ideas to drive continuous improvement by simplifying the process, creating additional value, and driving automation.
A day in the life
This role combines strategic thinking, data analytics, stakeholder management and hands-on problem solving - all with a direct impact on Amazon's global last mile delivery network.
Every day is a new adventure with opportunities to work backwards from customer needs across diverse LATAM, APAC and MENA regions. You will leverage data-driven models to develop long-term AMZL build plans and lead scenario analysis to guide decision making as teams drive towards your plan. You will have opportunity to develop business cases for innovative delivery solutions, automate manual processes, and/or develop new modelling solutions for the network.
If you enjoy solving ambiguous problems with a high-degree of autonomy, this role might be the one for you!
Basic Qualifications
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- 2+ years of supply chain experience
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,200/year in our lowest geographic market up to $141,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Last Mile Simulations and Analytics Engineering team.
WW AMZL Simulations and Analytics Engineering team is looking to build out our Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you're interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you've come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.
Key job responsibilities
Key job responsibilities
- Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
- Lead strategic modeling and simulation research projects to drive process design decisions
- Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
- Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact
- Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
- Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects
- Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments
- Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline
- Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices
- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms
- Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout
- Deliver results according to project schedules and quality
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
Preferred Qualifications
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Last Mile Solutions Engineering team.
WW AMZL Solutions Engineering team is looking to build out our Senior Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you're interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you've come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.
Key job responsibilities
Key job responsibilities
- Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
- Lead strategic modeling and simulation research projects to drive process design decisions
- Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
- Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact
- Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
- Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects
- Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments
- Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline
- Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices
- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms
- Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout
- Deliver results according to project schedules and quality
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
Preferred Qualifications
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Last Mile Solutions Engineering team.
WW AMZL Solutions Engineering team is looking to build out our Senior Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you're interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you've come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Sr. Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.
Key job responsibilities
Key job responsibilities
- Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
- Lead strategic modeling and simulation research projects to drive process design decisions
- Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
- Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact
- Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
- Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects
- Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments
- Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline
- Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices
- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms
- Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout
- Deliver results according to project schedules and quality
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
Preferred Qualifications
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Grocery Logistics (AGL) is looking for a Program Manager to join our Delivery Execution Team, focusing on Grocery Partnerships - Amazon's third-party grocery delivery service. In this role, you will lead high-impact, cross-functional projects and drive improvements in a complex, rapidly-growing business.
This role requires innovative problem-solving, ability to work with data, and strong written and verbal communication skills to drive last-mile delivery strategy and execution. You will need to present complex analysis and recommendations to influence and gain alignment from cross-functional stakeholders in an ambiguous, high-paced environment.
Key job responsibilities
- Drive strategic initiatives in collaboration with stakeholders, including Business, Operations, Supply Chain, Product, and Finance teams
- Leverage data to identify and develop business cases, drive decision making, and conduct deep dive analyses that are quantified with metrics
- Define and track metrics and mechanisms to ensure success of the business at scale
- Work autonomously in an ambiguous environment to solve problems and proactively identify and mitigate risks
- Present program progress, risks, and recommendations to leadership through regular business reviews
Basic Qualifications
- 4+ years of program or project management experience
- 4+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience with SQL
Preferred Qualifications
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience implementing repeatable processes and driving automation or standardization
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Grocery Logistics (AGL) is looking for a Program Manager to join our Delivery Execution Team, focusing on Grocery Partnerships - Amazon's third-party grocery delivery service. In this role, you will lead high-impact, cross-functional projects and drive improvements in a complex, rapidly-growing business.
This role requires innovative problem-solving, ability to work with data, and strong written and verbal communication skills to drive last-mile delivery strategy and execution. You will need to present complex analysis and recommendations to influence and gain alignment from cross-functional stakeholders in an ambiguous, high-paced environment.
Key job responsibilities
- Drive strategic initiatives in collaboration with stakeholders, including Business, Operations, Supply Chain, Product, and Finance teams
- Leverage data to identify and develop business cases, drive decision making, and conduct deep dive analyses that are quantified with metrics
- Define and track metrics and mechanisms to ensure success of the business at scale
- Work autonomously in an ambiguous environment to solve problems and proactively identify and mitigate risks
- Present program progress, risks, and recommendations to leadership through regular business reviews
Basic Qualifications
- 4+ years of program or project management experience
- 4+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience with SQL
Preferred Qualifications
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience implementing repeatable processes and driving automation or standardization
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Grocery Logistics (AGL) is looking for a Program Manager to join our Delivery Execution Team, focusing on Grocery Partnerships - Amazon's third-party grocery delivery service. In this role, you will lead high-impact, cross-functional projects and drive improvements in a complex, rapidly-growing business.
This role requires innovative problem-solving, ability to work with data, and strong written and verbal communication skills to drive last-mile delivery strategy and execution. You will need to present complex analysis and recommendations to influence and gain alignment from cross-functional stakeholders in an ambiguous, high-paced environment.
Key job responsibilities
- Drive strategic initiatives in collaboration with stakeholders, including Business, Operations, Supply Chain, Product, and Finance teams
- Leverage data to identify and develop business cases, drive decision making, and conduct deep dive analyses that are quantified with metrics
- Define and track metrics and mechanisms to ensure success of the business at scale
- Work autonomously in an ambiguous environment to solve problems and proactively identify and mitigate risks
- Present program progress, risks, and recommendations to leadership through regular business reviews
Basic Qualifications
- 4+ years of program or project management experience
- 4+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience with SQL
Preferred Qualifications
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience implementing repeatable processes and driving automation or standardization
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.