• An Associate’s Degree or related work experience • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor’s degree in a relevant field may vary in other locations like India C1+ or equivalent fluency in English language 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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.

- Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Experience with creating complex data for LLM training and evaluation C2 level in the Common European Framework CEFR scale 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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.

• An Associate’s Degree or related work experience • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor’s degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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.

• An Associate’s Degree or related work experience • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor’s degree in a relevant field May vary in other locations like India C1+ or equivalent fluency in English language 6 months to 1 year of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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.

• An Associate’s Degree or related work experience • Fluency in Hindi language • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Bachelor’s degree in a relevant field May vary in other locations like India C1 English language proficiency 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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.

- Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content 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.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience applying basic statistical methods (e.g. regression) to difficult business problems Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities Key responsibilities include: • Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. • Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. • Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About the team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams. Master's degree, or Advanced technical degree Experience with statistical analysis, co-relation analysis Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Excellence in technical communication with peers, partners, and non-technical cohorts 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.

DESCRIPTION Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Selling Partner Services (SPS) team acts as the primary interface between Amazon and our business partners. We obsess over providing world-class support to Merchants selling on the Amazon platform. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. We are looking for a Workforce Management (WFM) System Administrator to maintain our WFM back end/front end systems and tools. In addition, the WFM System Admin will partner closely with other teams to deliver mission critical initiatives, while devising solutions and tools that will benefit SPS Operations. This role requires troubleshooting and problem-solving, attention to detail, and delivering high quality results on time. Key job responsibilities Responsible for the ongoing support, user training and maintenance of our global Workforce Management systems and tools. Troubleshooting any issues with or enhancements to WFM Systems and coordinating with the applicable people to ensure the proper resolutions are met in a timely manner. Evaluate and Advise partners to develop Forecast Groups, Staff Groups and Routing Sets to improve utilization and business efficiency. Ensures the accuracy and timeliness of all data flowing to and from WFM systems. Respond to reported issues, requests & inquiries of a problematic technical or functional nature, and suggest or deploy fixes and enhancements. Setup user access to systems and/or services. Creates and updates profiles, permissions, and maintains user accounts. Drafts and maintains internal communications policies and procedures. Participate in cross-functional activities such as requirements gathering, review and user acceptance testing. Works with internal IT support teams and vendor technical support, as needed. Provide on-call which will require working on some nights and weekends. Occasional business travel and travel to other company facilities will be required. BASIC QUALIFICATIONS 2+ years of program or project management experience 2+ years of working cross functionally with tech and non-tech teams experience Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) 2+ years of defining and implementing process improvement initiatives using data and metrics experience 2+ years experience in a Workforce Management Administrator position, or 3+ years of relevant WFM user experience (Forecasting, Scheduling, Real Time Management) required Ability to perform many concurrent assignments and determine the need for changing priorities Commitment to customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment Ability to learn and train technical information 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 in requirement gathering and ability to write clear and detailed requirement document Exceptional organizational skills and influencing and leadership skills 3+ years experience in a Workforce Management Administrator position, or 4+ years of relevant WFM analyst experience (Forecasting, Scheduling, Real Time Management) Oral and written communication skills are required in order to provide appropriate customer support and interaction Quantitative and analytical skills; experience with advanced use of Excel and using statistical analysis applications. Speaking-listening-writing skills, attention to details, proactive self-starter Proven ability to work in a dynamic, ambiguous environment Experience with automatic contact routing, VoIP and any contact center case management tools. 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.

DESCRIPTION Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Selling Partner Services (SPS) team acts as the primary interface between Amazon and our business partners. We obsess over providing world-class support to Merchants selling on the Amazon platform. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. We are looking for a Workforce Management (WFM) System Administrator to maintain our WFM back end/front end systems and tools. In addition, the WFM System Admin will partner closely with other teams to deliver mission critical initiatives, while devising solutions and tools that will benefit SPS Operations. This role requires troubleshooting and problem-solving, attention to detail, and delivering high quality results on time. Key job responsibilities Responsible for the ongoing support, user training and maintenance of our global Workforce Management systems and tools. Troubleshooting any issues with or enhancements to WFM Systems and coordinating with the applicable people to ensure the proper resolutions are met in a timely manner. Evaluate and Advise partners to develop Forecast Groups, Staff Groups and Routing Sets to improve utilization and business efficiency. Ensures the accuracy and timeliness of all data flowing to and from WFM systems. Respond to reported issues, requests & inquiries of a problematic technical or functional nature, and suggest or deploy fixes and enhancements. Setup user access to systems and/or services. Creates and updates profiles, permissions, and maintains user accounts. Drafts and maintains internal communications policies and procedures. Participate in cross-functional activities such as requirements gathering, review and user acceptance testing. Works with internal IT support teams and vendor technical support, as needed. Provide on-call which will require working on some nights and weekends. Occasional business travel and travel to other company facilities will be required. BASIC QUALIFICATIONS 2+ years of program or project management experience 2+ years of working cross functionally with tech and non-tech teams experience Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) 2+ years of defining and implementing process improvement initiatives using data and metrics experience 2+ years experience in a Workforce Management Administrator position, or 3+ years of relevant WFM user experience (Forecasting, Scheduling, Real Time Management) required Ability to perform many concurrent assignments and determine the need for changing priorities Commitment to customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment Ability to learn and train technical information 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 in requirement gathering and ability to write clear and detailed requirement document Exceptional organizational skills and influencing and leadership skills 3+ years experience in a Workforce Management Administrator position, or 4+ years of relevant WFM analyst experience (Forecasting, Scheduling, Real Time Management) Oral and written communication skills are required in order to provide appropriate customer support and interaction Quantitative and analytical skills; experience with advanced use of Excel and using statistical analysis applications. Speaking-listening-writing skills, attention to details, proactive self-starter Proven ability to work in a dynamic, ambiguous environment Experience with automatic contact routing, VoIP and any contact center case management tools. 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.

DESCRIPTION Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Selling Partner Services (SPS) team acts as the primary interface between Amazon and our business partners. We obsess over providing world-class support to Merchants selling on the Amazon platform. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. We are looking for a Workforce Management (WFM) Program Manager to lead WFM related projects related to our back end/front end systems and tools. The WFM Program Manager will partner closely with matrix partners to deliver mission critical initiatives, and facilitate solutions and tools that will benefit SPS Operations. This role requires relationship building, stakeholder management, troubleshooting and problem-solving, attention to detail, and delivering high quality results on time. Key job responsibilities Build knowledge and understanding of the WFM tools and solutions provided to stakeholders Lead engagements with matrix partners on initiatives and create detailed work plans using accurate and aligned requirements. Create project artifacts such as project scope, communication matrix, risk register, escalation matrix, charter document, and detailed project plan Ensure that new projects are incorporated into planning cycles (OP1, OP2, etc.) including business documents Collaborate with Business Intelligence and Data Engineering as needed to develop sustainable reporting mechanisms for project success measures Create a mechanism to gather feedback during the project lifecycle Regularly communicate project status, issues, and risks, and gather updates from cross-functional teams Assist customer teams in change management strategies to ensure successful change management process implementation Provide on-call support which will require some nights and weekends. Occasional business travel and travel to other company facilities will be required BASIC QUALIFICATIONS 3+ years of program or project management experience 2+ 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 Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Workforce Management experience (Forecasting, Scheduling, Real Time Management) required Ability to perform many concurrent assignments and determine the need for changing priorities Commitment to customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment 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 in requirement gathering and ability to write clear and detailed requirement document Exceptional organizational skills and influencing and leadership skills 3+ years experience in a Workforce Management Administrator position, or 4+ years of relevant WFM analyst experience (Forecasting, Scheduling, Real Time Management) Oral and written communication skills are required in order to provide appropriate customer support and interaction Quantitative and analytical skills; experience with advanced use of Excel and using statistical analysis applications. Speaking-listening-writing skills, attention to details, proactive self-starter Proven ability to work in a dynamic, ambiguous environment Experience with automatic contact routing, VoIP and any contact center case management tools. 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.

DESCRIPTION Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Selling Partner Services (SPS) team acts as the primary interface between Amazon and our business partners. We obsess over providing world-class support to Merchants selling on the Amazon platform. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. We are looking for a Workforce Management (WFM) System Administrator to maintain our WFM back end/front end systems and tools. In addition, the WFM System Admin will partner closely with other teams to deliver mission critical initiatives, while devising solutions and tools that will benefit SPS Operations. This role requires troubleshooting and problem-solving, attention to detail, and delivering high quality results on time. Key job responsibilities Responsible for the ongoing support, user training and maintenance of our global Workforce Management systems and tools. Troubleshooting any issues with or enhancements to WFM Systems and coordinating with the applicable people to ensure the proper resolutions are met in a timely manner. Evaluate and Advise partners to develop Forecast Groups, Staff Groups and Routing Sets to improve utilization and business efficiency. Ensures the accuracy and timeliness of all data flowing to and from WFM systems. Respond to reported issues, requests & inquiries of a problematic technical or functional nature, and suggest or deploy fixes and enhancements. Setup user access to systems and/or services. Creates and updates profiles, permissions, and maintains user accounts. Drafts and maintains internal communications policies and procedures. Participate in cross-functional activities such as requirements gathering, review and user acceptance testing. Works with internal IT support teams and vendor technical support, as needed. Provide on-call which will require working on some nights and weekends. Occasional business travel and travel to other company facilities will be required. BASIC QUALIFICATIONS 2+ years of program or project management experience 2+ years of working cross functionally with tech and non-tech teams experience Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) 2+ years of defining and implementing process improvement initiatives using data and metrics experience 2+ years experience in a Workforce Management Administrator position, or 3+ years of relevant WFM user experience (Forecasting, Scheduling, Real Time Management) required Ability to perform many concurrent assignments and determine the need for changing priorities Commitment to customer experience, and a high level of dedication, enthusiasm, motivation, and persuasive ability in a team and cross-functional environment Ability to learn and train technical information 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 in requirement gathering and ability to write clear and detailed requirement document Exceptional organizational skills and influencing and leadership skills 3+ years experience in a Workforce Management Administrator position, or 4+ years of relevant WFM analyst experience (Forecasting, Scheduling, Real Time Management) Oral and written communication skills are required in order to provide appropriate customer support and interaction Quantitative and analytical skills; experience with advanced use of Excel and using statistical analysis applications. Speaking-listening-writing skills, attention to details, proactive self-starter Proven ability to work in a dynamic, ambiguous environment Experience with automatic contact routing, VoIP and any contact center case management tools. 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.