Seattle

The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Seattle, WAThe Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects:• We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities• Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.• As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation.• This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.BASIC QUALIFICATIONS- Currently enrolled in an accredited college or university Master's degree program.- Majoring in Computer Science, Statistics or a related STEM discipline.- Graduation date falls between May 2026 and June 2027.- Ability to work year-round: part-time during the school year and full-time during the summer.- Living within commutable distance to Seattle, WA and able to work in-person on a regular bases. ...

Amazon is looking for a highly-motivated Jr. Software Development Engineer (SDE)! Jr. SDEs write real software and collaborate with experienced software engineers who provide guidance and opportunities for ownership on projects that matter to our customers. As a year-round intern, Jr. SDEs become fully integrated into their teams and regularly contribute to impactful deliverables. Your design and code will contribute to solving some of Amazon's most complex technical challenges.The Jr. SDE role is part of Amazon's Jr Developer Program - a year-round internship opportunity that offers a symbiotic relationship between work and school. Jrs. receive 1:1 mentoring throughout their time in the program, receiving guidance and insight from a full-time Amazonian on their team. Because of the internship's extended tenure, our Jrs. become immersed in an Amazon team and gain real-life technical experience. Flexible part-time schedules during the school year and full-time employment over the summer creates an environment where students can succeed in both their work and their education. Seattle has a growing population of Jrs, allowing for deep connections with fellow students engaged in similar roles.Upon successful completion of the Jr. Developer Program, the opportunity for full-time employment may be available at an Amazon corporate site.Role Highlights: - Part-time work during the school year (16 hours/week) - Full-time work during the summer (40 hours/week) - 1:1 mentoring with an experienced Software Engineer - Effective performance management and integrated opportunities for growthBASIC QUALIFICATIONS - Currently enrolled in an accredited college or university Bachelor's or Master's degree program. - Majoring in Computer Science, Software Engineering, or related STEM field. - Graduating in June 2027 or beyond. - Ability to work year-round until graduation (part-time during the school year and full-time during the summer). - Living within commutable distance to Seattle, WA and able to work in-person year-round. - Programming experience with at least one modern language such as Java, Python, or C++ including object-oriented design. ...

Do you want to have a worldwide impact in Robotics? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop subject matter experts in robotics with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We are seeking hands-on, Software Development Manager to own the end to end integration of a new robotic workcell into the fulfillment network. You will be deep in code and algorithms. A successful candidate has excellent technical depth, great communication skills, and a drive to achieve results in a collaborative team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Key job responsibilities* As a manager, you will be responsible for delivering and maintaining critical robotic capabilities in the fulfillment network.* You will partner with multiple teams to integrate our Robotic Workcell with the broader Fulfillment System Software stack* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.* You will keep your technical skills current to contribute to architecture and design discussions. * You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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 engineering team management experience- 5+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of Selling Partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The SPS Central LXD team leads programs and mechanisms that scale and drive learning solution quality and standards across the global team of 60 LXDs. SPS Central LXD also builds high-quality learning solutions for unique internal needs driving analysis, design, development, implementation and evaluation.Key job responsibilitiesThis hybrid role will develop and manage the learning solution quality program for the global LXD team and consult and build exemplary learning solutions where deep instructional design expertise is required. You will prepare 60 LXDs and 12 LXD Managers with the tools, insights and skills to lift the quality of learning solutions across the global LXD team. You will recommend and build learning solutions that meet organizational needs at scale. Using data and evidence-based practice you will evaluate the effectiveness of both learning solutions and the quality program.A day in the lifeYou will design and deploy mechanisms to drive learning solution quality across the global team. Through data and written communications you will work with stakeholders and leaders to develop LXD quality. You should be advanced using eLearning development tools such as Articulate Rise/Storyline, Camtasia, Adobe Photoshop/Illustrator, and Captivate and explore emerging tech trends for content creation, which you will apply in the quality program and in designing and developing interactive training materials in multiple modalities. You will collaborate with LXD teams to strategize and implement program goals based on broader organizational goals.BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams- Bachelor degree or equivalent experience in instructional design, education technology, or similar field ...

The AWS Strategic Portfolio Management Team is looking for a talented, experienced Lease Admin Tech Analyst. In this role, you will be a key member of the Strategic Portfolio Management team. This role will be responsible for creating reports and building dashboards to provide key stakeholders and leadership valuable insight into our Real Estate and Colocation data center portfolio and contracts. Key job responsibilities• Provide technical expertise for the Lease Administration Software to ensure AWS unique requirements • Ongoing support to PAM and cross-functional Stakeholders, Lease Administrators and Analysts, finance, accounting, and legal as it relates to the use of the Lease Administration software • Create and facilitate reporting • Document business requirements related to software requirements or enhancements• Develop and maintain business intelligence dashboard reporting• Leads project management for the integration or data feeds of disparate systems as assigned• Act as point of escalation for software issues• Support the preparation of monthly portfolio metric reporting• Support special projectsMinimum two years experience in SQL • Minimum two years experience in Tableau, PowerBI, or similar BI reporting toolUnderstanding of lease accounting • Ability to partner with cross-functional teams in highly matrixed and global environment• Excellent written and interpersonal communication skills• Ability to excel in an ambiguous environment and effectively triage several competing prioritiesA day in the life**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.*Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred 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.*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.*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 and 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.About the teamAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.BASIC QUALIFICATIONS- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)- Understand of lease administration processes. Minimum two years working with lease administration software such as Tango or TRIRIGA. Working knowledge of commercial real estate principles and financial concepts. ...

Join the Amazon Web Services (AWS) Healthcare and Life Sciences (HCLS) Industry team to execute on the industry strategy by working backwards and in collaboration with the world’s most innovative companies. Our team focuses on engaging directly with technical leaders, C-level executives and influencers at all levels across the Life Sciences segment and around the world to support a digitally-enhanced, data-driven healthcare. As an Industry Specialist for Life Sciences, you will be part of the HCLS Business Development team that shapes and delivers on a life sciences strategy to help the healthcare ecosystem transform. Your responsibilities will include engaging with C-suite customers across Healthcare and Life Sciences organizations to deepen our relationships, working with strategic industry partners, attending and speaking at industry events to drive thought leadership, leading the process to guide our Go-to-Market (GTM) strategy, and creating significant business opportunities for AWS. You will work closely with the AWS sales leadership in engaging with Healthcare and Life Sciences organizations at the executive level (CxO/SVP/VP) to drive their strategic interactions with clients. You will think strategically and analytically about business, product, and technical challenges and build and convey compelling value propositions, and work cross-organizationally to build consensus. You will lead and drive multiple complex initiatives across technical and non-technical stakeholders to meet business objectives with a customer-obsessed and collaborative approach, strong data and metrics, a good understanding of industry ecosystems for Healthcare and Life Sciences, and a passion for helping them transform using cloud technologies. You will work closely with the AWS product and services teams to help evolve AWS offerings for more rapid adoption by customers.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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 CultureHere 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 GrowthWe’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 BalanceWe 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. The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.Key job responsibilities• Act as Industry Specialist in Life Sciences and Healthcare domains (HCLS)• Engage with our customers to unlock strategic opportunities and how AWS can help address their business needs • Work with technical experts to adapt AWS cloud services to core industry problems • Interact with C-Level business stakeholders and process owners to define and execute roadmaps• Serve as a Trusted Advisor and Subject Matter Expert for AWS's Life Sciences and Biopharma Customers• Contribute to the Development of AWS's Life Sciences Go-to-Market Strategy A day in the lifeYour responsibilities will include acting as a business trusted advisor to our HCLS customers, internal AWS sales and account teams, identify and gather HCLS market signals to define our GtM strategy, and engage in increasing our thought leadership and market visibility in the region. BASIC QUALIFICATIONS- 10+ years of developing, negotiating and executing business agreements experience- Bachelor's degree or equivalent experience- 7+ years of experience developing strategies that influence leadership decisions at the organizational level- 7+ years of experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Are you a talented and proven localization expert with experience managing global programs? Do you enjoy partnering with creative and technical teams and improving mechanisms for scale? Are you excited about delivering best-in-class content for audiences around the world? If you answered “yes” to these questions, then the Amazon Music Localization team is the place for you! We’re looking for a skilled candidate to take ownership of program management and process improvement to deliver a culturally accurate experience of the Amazon Music service globally. Join us as we take the Amazon Music voice and brand to every edge of the map!Please note: This position requires fluency in other languages, preferably German or JapaneseKey job responsibilities- Managing international localization projects end-to-end, working closely with internal business partners, external vendors and other stakeholders - Leading and coordinating efforts to create and improve localization mechanisms that support creative, marketing, engineering, and programming verticals- Maintaining and improving the language quality program and/or operations for the team- Working with content creators, strategy owners, and infrastructure teams to define and streamline processes upstream and drive best practices for the internationalization of content - Clearly communicate roadmaps, progress, risks and change control to leadership and internal cross-functional teams - Writing , editing, reviewing and maintaining localization process documentationA day in the lifeThis Localization PM will be adept at managing projects and programs, and connecting with global stakeholders to understand their specific messaging needs, while maintaining and improving mechanisms that help remove roadblocks as our team delivers of hundreds of thousands of units of content in over 30 language variants each year. In order to improve these mechanisms, they will work with internal partners and external vendors, leveraging both process and technology to achieve our goals. Their key job responsibilities will include, but are not limited to: - Managing international localization projects end-to-end, working closely with internal business partners, external vendors and other stakeholders - Leading and coordinating efforts to create and improve localization mechanisms that support creative, marketing, engineering, and programming verticals- Maintaining and improving the language quality program and/or operations for the team- Working with content creators, strategy owners, and infrastructure teams to define and streamline processes upstream and drive best practices for the internationalization of content - Clearly communicate roadmaps, progress, risks and change control to leadership and internal cross-functional teams - Writing , editing, reviewing and maintaining localization process documentationThis role may be based in Seattle, Culver City, Brooklyn, or in several European locationsAbout the teamThe Amazon Music Localization Team is embedded within Design & Creative Operations and is responsible for localizing the Amazon Music content in a way that reflects the voice and tone of who the service is for customers globally. The Localization team works closely with content creators, as well as international partner teams across Marketing, Product, Engineering, etc. to deliver a high quality and consistent localized experience across all our touch points, channels and verticals in up to 30 locales.Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.BASIC QUALIFICATIONS- pending ...

Join AWS and lead the end-to-end localization of AWS Support content that empowers millions of global customers. As the Localization Program Manager, you'll drive the entire localization lifecycle – from projects planning and scoping to quality assurance and continuous process improvement. Your work will enable millions of users around the world to access critical information in their preferred language, directly contributing to their success and satisfaction with AWS, while significantly expanding AWS Support's ability to serve a diverse global customer base. This role offers the opportunity to make a significant impact on our worldwide customer base while fostering a culture of global collaboration and innovation, and working with latest localization technologies.Key job responsibilitiesYou will manage localization projects for AWS Support content, ensuring high-quality translations across multiple languages and markets. Your role will involve managing localization projects, optimizing processes, and delivering exceptional localized content that meets the needs of our global customers.- Program Management: Lead end-to-end localization projects from inception to completion, ensuring on-time delivery within budget and quality standards.- Vendor and Stakeholder Management: Build and maintain relationships with internal stakeholders, external vendors, and translation teams to ensure smooth project execution and high-quality outputs.- Process Optimization: Continuously evaluate and improve localization processes and tools. Implement best practices and innovative solutions to enhance efficiency, quality, and scalability of localization workflows.- Quality Assurance: Oversee quality control processes to ensure that localized content meets AWS's high standards for accuracy and consistency.- Metrics and Reporting: Analyze localization metrics and key performance indicators to identify areas for improvement and implement data-driven solutions.- Industry Leadership and Best Practices: Stay at the forefront of localization industry trends, tools, and best practices. Contribute to the development, implementation, and onboarding of the latest localization strategies within AWS, ensuring the organization remains a leader in global content management.A day in the lifeAs Localization Program Manager at AWS, you'll play a crucial role in breaking down language barriers and making AWS Support content accessible to customers worldwide. You'll start your day by reviewing project requests and coordinating projects plans with your global vendors. Throughout the day, you might find yourself managing project budgets, answering queries from stakeholders, ensuring quality of localized content, performing reviews of small updates, or analyzing metrics to identify process improvements. Your expertise in managing multilingual projects will be vital in ensuring that complex technical information is accurately conveyed across languages. Without your skills in coordinating localization efforts, our international customers would struggle to fully leverage AWS Support Knowledge. Your work will enable millions of users around the world to access critical information in their preferred language, directly contributing to their success and satisfaction with AWS.About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred 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 CultureHere 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 GrowthWe’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 BalanceWe 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. BASIC QUALIFICATIONS- 3+ years of program or project management experience- 3+ 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- Strong knowledge of localization tools, content management systems, and translation management systems.- Excellent communication and interpersonal skills, with the ability to work effectively in a global, cross-functional environment.- Fluency in English and proficiency in at least one additional language (French, Italian, German, Spanish, Brazilian Portuguese, Chinese, Korean or Japanese). ...

The Manager of Networking Planning Technology team will engage work on the rural and super rural expansion strategy, developing tools, analyses, and iterative strategic planning models to help enable the rural distribution, real estate, and coverage plan for Amazon in far-reaching regions. Key deliverables will be engineered databases for long term planning information, developing dashboard and visualization tools to present long range planning scenarios to leaders, automating financial forecasts for ROI / IRR assessments on different investment scenarios, and expediting topology and network strategy questions through innovative modelling techniques. The ideal candidate has experience in network modelling, leading teams in data engineering, analytics, and producing strategic documents to high visibility programs with upper-level leadership. Key job responsibilitiesKey responsibilities of this role include architecting data systems to cleanly present and automate strategic reports, the development of flash reports, writing and contributing to high value CapEx and launch strategy documents, coverage and network heatmaps, and financial analytics. The manager will develop tools and processes to automate critical analyses in long range supply chain plans, produce iterative financial models, and write-ups to leadership on how to interpret the recommendations. This will include, where we ideally want to launch, how many buildings are needed to solve our long term goals, and when is the ideal timing for engaging in new regions. This leader will talk with existing technical leaders in the space, develop data management procedures handle large scale requests, and work cross functionally with several operative teams to align on key inputs. They will also have great people management skills and exemplify strong leadership in ambiguious spaces. A day in the lifeA day in the life of the Network Planning Technology manager will be handling requests on what regions provide ideal paybacks, analyzing how existing regions should be changed to compliment our future plans, and assessing new strategies for entering regions not yet covered by Amazon delivery. They will liaise with key stakeholders, contribute to model changes in line with our long range plan, and establish tenets / standard work for improving our suite of tools and reports for leadership planning cycles. BASIC QUALIFICATIONS- 5+ years of cross functional project delivery experience- 5+ years of working cross functionally with tech and non-tech teams experience- 5+ years of program or project management experience- 5+ years of team management experience- 2+ years of supply chain experience- Experience defining program requirements and using data and metrics to determine improvements ...

The Loss Prevention Specialist (LPS) is a key hourly associate position within Amazon Operations. The LPS leads the effort to efficiently and effectively oversee security services and asset (lives, buildings, equipment, inventory, data, & intellectual property) protection in a designated building. The LPS typically reports to the Loss Prevention Site Lead responsible for their facility, and aids them in supporting the Operational team, and the cross functional teams throughout the organization. This position is site based.Key job responsibilities* Lead, conduct, and deliver results regarding investigations of Theft, Fraud, and Workplace Violence/Critical Incidents* Prepare prompt and complete reports relative to Workplace Violence, Theft, Fraud, Critical Incidents, and Process Improvement* Deliver results through policy Guidance, Education, and Mitigation strategies to help meet business demands* Serve as department’s liaison and security/crisis management subject matter expert for site leadership keeping them informed on key issues, strategies and the department’s performance* Analyze data, conducts audits and identify trends to create actionable plans to mitigate risk* Maintain confidentiality in matters involving security and/or personnel issues in the work place* Effectively partner with internal customers in evaluating current and future security services, processes and initiatives* Develop strategies for alarm reduction and conduct system diagnostic for problematic devices by engaging and resolving issues with internal and external partners* Accurately communicate verbally and in written form to a broad customer base* Train and orient new Associates in LP culture* Develop projects while continuously improving physical security, processes, standards, training, and policies for future growth* Ensure internal controls per Sarbanes Oxley (SOX) requirements related to data center access controls, inventory control and record keeping* Promote and execute security best practices* Audit physical security infrastructure (i.e. intrusion detection, access control, cameras) and ensuring functionally of all systems* Work weekends and/or overnight shifts as necessary* Work in an industrial environment that requires walking up to 5 miles a day and ability to lift up to 20 lbs, with or without reasonable accommodationA day in the lifeAs a member of the AMER Region Loss Prevention Team, you will be responsible for leading the effort to efficiently and effectively provide security services and asset protection to protect People, Product and Data within your site (or Region). You will execute this through daily partnerships with critical site, and regional, leaders across Operations, Workplace Health & Safety (WHS), PxT, Employee Relations, RME and more. You will be an expert across multiple operational disciplines in order to drive efficiency and loss reduction efforts. Amazon's LP and shrink reduction efforts are supported by the Global Security Operations (GSO) team through the creation of an overall global strategy designed to optimize resources and leverage technology to mitigate product loss and maintain customer satisfaction. The Loss Prevention Team often collaborates with external partners, including law enforcement agencies, private investigators, and security vendors, to enhance security measures and investigate incidents. The composition and structure of a Loss Prevention Team can vary depending on the size and industry of the organization. However, their collective efforts are essential for protecting company assets, reducing losses, and maintaining a secure business environment.About the teamGlobal Security Operations (GSO) is the global organization that supports field Loss Prevention and is designed to support Amazon’s Worldwide Operations, as well as affiliate and retail businesses, by creating and maintaining a work environment that is both prepared and secure through global security centers of excellence staffed by subject matter experts in people and asset protection. We accomplish this by creating policy and implementation guidelines; training leadership and staff; using technology to eliminate subjectivity, complexity, and variation; identifying, preparing for, and mitigating risk; and auditing our practices to ensure compliance.BASIC QUALIFICATIONS* High school or equivalent diploma * 1+ years of experience in the following: security service, asset protection, audit, investigations, law enforcement, military, risk management, inventory control, quality assurance or bachelor’s degree in a related field or 2+ years Amazon Experience and/or LPQ Career Choice Graduate* Experience with MS Office Professional Suite, including using Microsoft Excel to manipulate and analyze data * Workplace Violence and/or Business Continuity experience * Analytical experience in performance based, action and results oriented setting ...

At Amazon, we’re working to be the most customer-centric company on Earth. If you’d like to help us make history, here’s your chance to accelerate our growth and ability to serve our customers as an HR Program Manager, M&A.The HR Program Manager, M&A will partner with the internal Amazon HR (known at Amazon as People eXperience and Technology or PXT) Centers of Excellence, Business HR Business Partners, Corporate Development Integration Leaders, and acquired leadership teams through all phases of a M&A project. This role will be based in Seattle, and will partner with team members to support acquisitions across all geographies and business lines.The ideal candidate has a passion for process and operational improvement, can think creatively to deliver innovations on behalf of customers.The right candidate will possess a hybrid program/project management background with experience participating in and ideally leading initiatives as well as experience across varied Human Resources workstreams. Our team works in a fast-paced, global environment and someone who thrives working on high-profile projects, enjoys travel and is comfortable interacting with a wide range of HR and business professionals across all levels would be well-suited for this role.Key job responsibilities- Partner with the HR M&A team and support on all aspects of a deal, including tactical and operational support, from due diligence through post-close integration.- Help to continuously improve the M&A program & tools at Amazon by identifying ways to improve the employee or customer experience – via automation, simplification or other types of process improvement; partnering cross-functionally to influence and implement change.- Partner with key HR subject matter experts to deliver solutions for integration issues such as: immigration, recruiting, benefits, compensation, payroll, time and attendance, retirement plans, stock/equity, HR compliance, employee relations, organization design, diversity & inclusion, talent management, and performance management.- Drive appropriate M&A and country due diligence and integration activities, including job leveling together with other relevant HR functions.- Provide excellent customer service to all stakeholders by helping to resolve any issues/questions.- Ensure M&A HR tools, best practices and lessons learned are implemented and communicated within the internal HR teams.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of complex cross-functional change management experience- Bachelor's degree- Experience writing strategy documents for executive audiences with clear recommendations in the midst of ambiguity ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI, ML and DL algorithms to solve real world problems with significant impact? Amazon is revolutionizing customer service yet again now with cutting edge AI and ML. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video. We’re seeking a Machine Learning Engineer to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and quality.Key job responsibilitiesIn this role, you will:- Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide a scalable production solutions to improve the customer experience, to label data, build, train, tune and deploy their models.- Collaborate with our Applied and data scientists to create and fine tune scalable ML and Generative AI solutions for business problems.- Interact with product stakeholders directly to understand the business problem, help and aid them in implementation of their ML ecosystem- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.- Work closely with science and engineering teams to drive model implementations and new algorithms.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Bachelor's degree in computer science or equivalent- 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing ...

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like Llama2, GPT2, GPT3 and beyond, as well as stable diffusion, Vision Transformers and many more.The ML Apps team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trn1. Experience optimizing inference performance for both latency and throughput on these large models using Python, Pytorch or JAX is a must. Deepspeed and other distributed inference libraries are central to this and extending all of this for the Neuron based system is key.Key job responsibilitiesThis role will help lead the efforts building distributed inference support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development using C++/Python and ML knowledge are both critical to this role.A day in the lifeAs you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is building internet-scale data solutions to power critical customer-facing shopping conversation experiences on the Amazon app and web. We are looking for a passionate, talented, and inventive SDE with a strong machine learning background, to lead the development of industry-leading technology with Large Language Models and Natural Language Processing.The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.As a software developer in this role, you will* Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents.* Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience* Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation. * Lead the system architecture, and spearhead the best practices that enable a quality infrastructure. * Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.* Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. * Learn cutting-edge technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving cutting edge GenAI solutions!We are a team of DEs who support Applied Scientists, Data Scientist, and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.ISS is seeking a smart, highly-motivated, and experienced ML Engineer to join our team. In this role, you'll help us create the right Data and ML infrastructure.As a ML Data Engineer, you will provide technical expertise, lead ML engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You carry projects from proof-of-concept to deployment and serving with a high standard for model maintenance and operations. You orchestrate complex and/or distributed modeling systems to unlock new ML capabilities for your customers.You are passionate about working with huge unstructured and structured datasets and have experience with the organization and curation of data for analytics and model training. You have a strategic and long term view on architecting advanced data eco systems.You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.You will have the opportunity to work with scalable model development tools using SageMaker, AWS, and Docker. You will bring in techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to state-of-the-art deep neural network models on diverse types of signals.Key job responsibilitiesIn this role, you have the opportunity to:- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.- Develop and deploy models and pipelines that scale- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Collaborate with Applied Scientists, Data Scientists, Data engineers to help adopt best practices in ML system creation, Experimentation Setup and documentation- Identify opportunities in existing data/ML solutions for improvementsExample projects:- Setting up a Dev environment for experimenting multiple embedding models for RAG setup-Implement a robust experimentation platform to test, iterate, and optimize the Conversation Assistants' performance across key RAG metrics- Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization- Integrating disparate ML solutions into cohesive customer experiencesBASIC QUALIFICATIONSExperience with machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.2+ years of non-internship professional ML-software development experienceProgramming experience with at least one modern language such as Python,Java, C++, or C# including object-oriented design2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.Experience in building production quality and large scale deployment of applications related to NLP and ML ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities* Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About the teamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Want to build business and ML systems that impact hundreds of millions of customers Worldwide?We are looking for outstanding Machine Learning Engineers to join the Kaizen team within Sponsored Products and Brands (SPB). Kaizen team is responsible for growing Amazon Ads business in growing and emerging regions (Asia Pacific, LATAM and EMEA) by defining new regional experiences for shoppers and advertisers based on local context. We own end to end business for SPB and looking for like-minded people who can run with same ownership. As a member of our Agile team you will have the opportunity to drive a key business area in Amazon Ads.Your team will own the business, technology, and operations, giving you the responsibility and authority to ensure success. You will be involved in every aspect of the process - from idea generation, business analysis and technical design through to software development across a variety of technologies. Your systems will meet remarkably high standards of performance and reliability, and will operate at massive scale, 24x7.The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects for our growing businesses. Key job responsibilities• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.• Run A/B experiments based on independent data analysis BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Bachelors degree in Computer Science or equivalent ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We recently announced we are preparing for Prime Air deliveries to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazons-drone-delivery-is-coming-to-texas).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Prime Air is seeking a skilled Maintenance Technician to assist in maintenance and routine service of our remote controlled devices. The qualified candidate will require mechanical skills, electrical integration skills and assembly experience. You will be part of a larger development effort working independently in a highly collaborative environment.Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. BASIC QUALIFICATIONS - Mechanical and electrical integration or assembly experience - Basic engineering knowledge: mechanical, electrical, software - Experience in installation of sub-assemblies and assemblies while working to drawings or CAD files - Able to perform precision work with hand tools - 2 years experience troubleshooting hardware and/or software issues in industry or military - Employees must, with or without reasonable accommodation, be able to lift up to 50 pounds on some occasions, stand/walk for up to 8-10 hours (with breaks), and be able to frequently push, pull, squat, bend, and reach - Valid Driver’s License and able to satisfy Amazon driver eligibility criteria - Willingness to travel up to 75% of the year ...

Cloud security is our highest priority at AWS. As an AWS customer, you benefit from an environment built to meet the requirements of the most security-sensitive organizations. As an AWS Security team member, you will help secure that environment for our customers while working on cutting edge security products for a variety of platforms and technologies, all operating at massive scale. We are looking for an experienced security leader to join the AWS AppSec team. As a security leader, you will own building and managing a team of security engineers and leaders, fostering a strong team culture. You and your team will be responsible for reviewing and testing our new services before release, partnering closely with our development teams to produce innovative and secure solutions. We are looking for a leader that is highly passionate about the potential of cloud computing and building a high performing security team. Security Managers at Amazon have a track record of delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. You should know how to prioritize, communicate clearly and compellingly, and understand how to drive a high level of focus and excellence with a strong team. AWS in general, and AppSec in particular, operates at very large scale and demands high standards, so a passion and discipline around security and delivery is critical. A high level of ownership and accountability is a must. About the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security 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 Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 5+ years of experience leading, managing & developing high performance security teams such as Application Security, Security Assurance, Red Teams- 7+ years of experience within a software security team or similar operating environment- Hands-on knowledge of information security technologies such as security design review, threat modeling, risk analysis, and software testing techniques- BA/BS in computer science, information security, related discipline, or equivalent work experience ...

Amazon Prime TPM is a cross-functional team of Technical Program Managers that are responsible to run large technology initiatives for Prime Acquisition, Payments, CXE, International Expansion and supporting variations of Prime that provide the best of experience to our customers. If you are interested in driving highly visible and impactful initiatives for Amazon, this is the best team for you. As a senior TPM leader, you are a pragmatic visionary that can translate business needs into technology solutions that scale to meet the business needs. You are responsible for driving high quality and enabling innovation. You will work with a team of top talents, manage evolving and complex demands, including multiple projects with dependencies on other internal organizations. You will draw on customer feedback, usage and operational data, and your experience leading technology businesses to set and deliver on challenging goals to maintain effective software at scale without hindering our ability to reliably meet our customer promise.Key job responsibilitiesThe ideal candidate is a creative, demonstrated leader/manager with superior people management and analytical abilities. This opportunity requires excellent technical, problem-solving, and communication skills. This candidate should possess verifiable leadership qualities including being proactive, thoughtful, thorough, decisive, and flexible, conducting themselves professionally and with integrity at all times. TPM Managers will work with the TPMs by guiding them to go deep on learning their systems’ and use their knowledge to influence and drive cross-team projects and roadmaps. At the core of the position is leadership and delivery. You will have a strong working knowledge of product, architecture, technology and thrive in a fast paced, dynamic environment.Qualified candidates have experience in managing high performing individuals, building roadmaps, defining processes, defining projects, collecting requirements, writing detailed functional and test specifications, coordinating efforts to scope, schedule, and deploy new features sets, collaborating across diverse groups, as well as analyzing cost/benefit of feature selection and communicating results throughout the organization. BASIC QUALIFICATIONS 7+ years of working directly with engineering teams experience 5+ years of technical product or program management experience 3+ years of software development experience 5+ years of technical program management working directly with software engineering teams experience Experience managing programs across cross functional teams, building processes and coordinating release schedules ...