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Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? Work hard. Have fun. Make history. The Role: You will complete high volumes of tasks with minimal guidance or supervision while maintaining awareness of deadline sensitivity. As such, the candidate must be skilled at anticipating problems, creating contingency plans, managing multiple priorities, problem solving and organizing logistics. A successful candidate will want to take on varied and exciting new projects and also learn new skills. You will need to take effective action without having to know the total picture, and efficiently and proactively solve difficult or complex problems that affect people within the department or other related groups. Key job responsibilities A day in the lifeAs an Executive Assistant, you will work in a team environment, build effective working relationships inside and outside of the group, while keeping abreast of general business objectives, policies, standards, services, facilities, procedures and related information in order to maintain a comprehensive awareness of the organization. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with leaders (at and outside Amazon) is important, as is the ability to be flexible and change direction seamlessly and handle multiple tasks at once. About the teamAn important key to our success is building and maintaining healthy relationships across the various organizations, some of which are peer organizations, some who are internal customers, and some who we rely upon for foundational building blocks and technologies we integrate into our products. A big part of your job will be to understand the complex organizational structure and strengthening our relationships and collaboration with adjacent teams. So, as you begin to meet people and establish your network, it's important to foster strong relationships of trust and cooperation, and to build up a good "map" of how the various teams and leaders fit together.BASIC QUALIFICATIONS- 3+ years of senior level leadership support, or 1+ years of Amazon experience- High school or equivalent diploma- Experience with Microsoft Office products and applications- Experience with executive level calendar management ...

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? Work hard. Have fun. Make history. The Role: As an Executive Assistant, you will work in a team environment, build effective working relationships inside and outside of the group, while keeping abreast of general business objectives, policies, standards, services, facilities, procedures and related information in order to maintain a comprehensive awareness of the organization. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with leaders (at and outside Amazon) is important, as is the ability to be flexible and change direction seamlessly and handle multiple tasks at once. You will complete high volumes of tasks with minimal guidance or supervision while maintaining awareness of deadline sensitivity. As such, the candidate must be skilled at anticipating problems, creating contingency plans, managing multiple priorities, problem solving and organizing logistics. A successful candidate will want to take on varied and exciting new projects and also learn new skills. You will need to take effective action without having to know the total picture, and efficiently and proactively solve difficult or complex problems that affect people within the department or other related groups. BASIC QUALIFICATIONS- Experience with Microsoft Office products and applications ...

At Amazon, our mission is to be Earth’s most customer-centric company. To achieve this goal, we strive to exceed expectations by innovating and providing best-in-class customer support as we expand our logistics products and services including improving how we fulfill and deliver customer orders. We’re making history and the good news is that we’ve only just begun. At Amazon you get to Work with smart, passionate people who are building new products and services every day on behalf of our customers.As a Delivery Station Customer Service Associate, you will help improve the customer experience by providing in station real-time, hands-on support to ensure our customers receive their packages on time, as promised. The role will also help connect customers with experts who can provide them the most accurate and up-to-date information about their packages. The work is beyond fulfilling and delivering customer orders; it’s making sure we put smiles on customer’s faces.Key job responsibilitiesAs a Delivery Station Customer Service Associate, you will be responsible for:- Communicating with customers directly in-person, in addition to communicating via phone and email- Empathizing with and prioritizing customer needs- Upholding company values and respecting every customer- Resolving issues and setting appropriate expectations with customers- Clearly understanding and responding appropriately to the issues that customers present- Consistently composing grammatically correct, concise, and accurate written responses to customer issues- Approaching problems logically and with good judgment to ensure the appropriate customer outcome- Making quick and effective decisions on behalf of the customer- Working a flexible Full-Time (40+ hours per week) schedule Performing the following tasks, with or without reasonable accommodation:- Carry, lift, push and pull up to 49 pounds- Frequently push, pull, squat, bend and reach- Stand and walk during shifts lasting up to 12 hours- Work in an environment where the noise level varies and can be loud (hearing protection will be provided)- Work in an environment where the temperature may vary due to outside weather conditions and is not controlledA day in the lifeYou’ll be based at one of our last-mile delivery warehouses, where Amazon’s leading logistics system operates. As orders are dispatched and delivered, you’ll be in contact with our warehouse, associates, delivery partners and customers when they need guidance. Where a customer needs to reschedule a delivery, you’ll be informing our delivery partners. Where you notice a delivery issue, you’ll get to work resolving it straight away, so that our customers get a great experience every time without having to contact Amazon. Operating at the heart of Amazon’s logistics, you’ll develop logistical and customer expertise that sets Amazon apart. You’ll connect with our customers every day, using your in-depth understanding of our supply chain and local knowledge of delivery connections and warehouses.About the teamOur mission is to be Earth’s most customer-centric company, and few departments have as direct an impact on that mission as our Customer Service team. We're an inclusive team who empower and look after our people, so they have the time and energy to focus on our customers’ happiness. Our goal is to reduce customer effort every way we can, helping them get the best results quickly and efficiently. We support our self-service channels to offer expert insights into our customers’ most complex issues.Within Customer Service, there are opportunities in process improvement, customer experience, data analysis and customer retention. The CS team is always looking for ways to make Amazon’s customer service even better, and we need excellent people to make that happen.BASIC QUALIFICATIONS- High School or equivalent diploma- Previous experience in Customer Service - Ability to effectively prioritize work time to ensure efficiency- Experience with Windows Operating Systems and Microsoft Outlook- Familiarity with multiple web browsers, data base searching and instant messenger tools ...

Amazon Web Services (AWS) serves customers and developers who rely on storage, compute, and our other service capabilities. Our customers trust us to handle their data with air-tight security measures, which is something that we guarantee. We are looking for a Data Center Security Specialist to join our expanding Data Center Operations team. Our ideal candidate is detail-oriented, innovative, and professional. They have a passion for delighting customers, teamwork, and continuous improvement. The Data Center Security Specialist role may encompass oversight of contract employee deliverables and collaboration with Data Center Managers in order to devise security strategies, achieve financial targets, and to improve the overall operational security within our Data Centers. They will report to the Cluster Security Manager. Key job responsibilities - Interface with and assist in mobilizing vendors involved in system repairs and new security construction - Coordinate the activities of a professional contract guard force - Oversee individual security vendor deliverables, track service delivery and request corrective actions from vendors as needed - Foster working relationships to educate data center stakeholders on false alarm reductions - Extract metrics and observe improvements by looking at and analyzing data - Verify Data Center security programs are delivered to meet defined global security standards - Develop strategies for improving electronic surveillance and access controls - Draft reports and prepare presentations on the status of physical security operations - Collaborate with managers in writing and implementing security processes and procedures - Serve as a customer advocate by identifying security-related opportunities and crafting innovative solutions that maintain security standards - Be able to travel between local sites as needed, up to 50% of the workweekAbout the teamWhy AWSAmazon 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 ExperiencesAmazon 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 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.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 (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and 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.BASIC QUALIFICATIONS - 1+ year of experience working in a standards-based professional work environment - 1+ year of experience collecting, analyzing, and utilizing data to drive process and system improvement, and effect quality assurance - 1+ year of experience with Microsoft Office tools ...

ABOUT AMAZON Our Worldwide Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Operations Manager. In this role, you will play a key part in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. You will lead and develop a team of salaried and hourly talent. You will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. To achieve this, managers are expected to provide their team with the tools needed for success while driving improvements through data-driven decisions and analytical problem-solving. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Rapid and Rural Logistics (R2L) is an exciting organization within Amazon specializing in delighting our customers with speed in which we can make items appear on their doorsteps. We are a combination of operations and support teams aligned to innovate for the last mile customer experience. Come build the future with us! Key Responsibilities and Job Elements: - Support, mentor, and motivate your team - Lead large-scope projects with site and regional impact - Create and implement productivity plans through forecast reviews, determining productivity requirements, and partnering with other Leaders to load balance - Manage safety, quality, productivity, and customer delivery promises - Collaborate with all support teams including Safety, Ops Integration, Loss Prevention and Human Resources to develop plans to meet business objectives - Lift up to 49 pounds, stand and walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend, and reach, as well as continuously climb and descend stairs - Work in an environment where the noise level varies and is subject to variable temperatures and weather (delivery stations include outside loading departments, and grocery locations include refrigerated environments) - Work a flexible schedule (weekends and/or overnight shifts)BASIC QUALIFICATIONS- 3+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

The optimal candidate is an experienced business partner who excels in an entrepreneurial environment, building trust quickly. They have a strong mastery of the range of challenges and scope within a globally-matrixed environment. They have vision, strong leadership and communication skills, and are comfortable with C-Suite executives. This person must be able to dive deep and deliver on behalf of the customer while dealing with ambiguity.Key job responsibilities- Leverage professional relationships and develop new strategic contacts to generate business opportunities with potential real estate partners, private sellers, brokers, investment bankers, owners, developers and consultants.- Identify, anticipate, communicate and capitalize on public policy strategic pillars to drive community planning priorities in concert with Portfolio Optimization and Transactions team.- Develop comprehensive knowledge of assets, strategy, underwriting criteria, processes and systems to optimize site selection process and planning. - Drive strategic initiatives related to complex entitlement and zoning projects focused on site plan design, entitlement and land use within local municipalities for both existing high profile development projects and new opportunities to improve timelines and save money.- Forge and maintain deep Customer relationships which will help uncover opportunities in collaboration with Legal, Public Policy/Econ Dev, etc.- Keep a pulse on external market forces and industry leader analysis, including customer dynamics, to inform strategy development; identify and provide solutions for any areas of misalignment.- Collaborate across the organization, including the executive leadership team and key stakeholders, to identify key strategic challenges and opportunities linked to market dynamics or customer changes, product performance, competitive intelligence and business needs. A day in the lifeAmazon 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-timeemployees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- Bachelor's degree- 10+ years experience in development, leasing, community engagement or related field- Experience leading large projects and/or programs in a matrixed organization with multiple stakeholders or in a high-growth environment- Experience delivering cross functional projects, working cross functionally with tech and non-tech teams.- Excellent writing skills, and proven ability to synthesize complex ideas into well-constructed documents ...

MULTIPLE POSITIONS AVAILABLECompany: AMAZON DATA SERVICES, INC.Position Title: Data Center Controls EngineerLocation: Hayward, CaliforniaPosition Responsibilities:Troubleshoot and perform Root Cause Analysis or Corrective Action for Control Systems for AWS data centers. Apply controls fundamental concepts, practices and procedures to manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) in operational AWS Data Centers. Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. Provide technical assistance and support to internal customers during the life cycle of the data center. Provide technical support to in-service data centers. Work with critical data center equipment including Generators, Uninterruptible Power Supplies, Switchgear, Transformers, Power Feeders, Chillers, Plumbing, Fire Detection/Suppression, Air Handling Units, Computer Room Air Handling/Conditioning Units, UPS, CRAH, and CRAC. Drive practical constructability standards in design documentation. Perform constructability reviews of electrical and mechanical designs associated with the construction of new data centers.40 hours / week, 8:00am-5:00pm, Salary Range $112,091/year to $239,300/year Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #0000BASIC QUALIFICATIONSPosition Requirements:Master’s degree or foreign equivalent degree in Mechanical Engineering, Electrical Engineering, Construction Management or a related field and one year of relevant experience as a Data Center Controls Engineer, Technical Operations Engineer, Controls Engineer, or a related occupation. Must have one year of experience in the following skill(s): Working on the design, commissioning, or construction of data centers, mission critical facilities, or equivalent center/facility delivery; Experience with installation, configuration, or servicing, of electrical, mechanical, or hardware products using at least one of the following: Siemen’s Apogee, Schneider Electric’s PowerLogic, Schneider Electric’s StruxureWare, Rockwell Automation’s FactoryTalk, Tridium’s Niagara, or Eaton’s Forseer; and Experience in Controls or Electrical construction project coordination with multiple teams or vendors to meet project requirements. Partial telecommuting permitted; employees will be required to report to office multiple days per week.#0000 ...

Amazon.com is broadly recognized as a leader in providing exceptional Customer Service globally. At Amazon, we are driven by innovation and customer obsession, which is deeply ingrained in everything we do, especially in the Customer Engagement Technology (CET) department. Leveraging conversational Artificial Intelligence (AI) and machine learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions.The CET team leads AI and Large Language Models (LLM)-driven customer experience transformation using task-oriented dialogue systems. We develop multi-modal, multi-turn, goal-oriented dialog systems that can handle customer issues at Amazon scale across multiple languages. These systems are designed to adapt to changing company policies and invoke correct Application Programming Interfaces (APIs) to automate solutions to customer problems. Additionally, we enhance associate productivity through response/action recommendation, summarization to capture conversation context succinctly, retrieving precise information from documents to provide useful information to the agent, and machine translation to facilitate smoother conversations when the customer and agent speak different languages.Key focus areas include:- Task-Oriented Dialog Systems: Building reliable, scalable, and adaptive LLM-based agents for understanding intents, determining eligibilities, making API calls, confirming outcomes, and exploring alternatives across hundreds of customer service intents, while adapting to changing policies.- Lifelong Learning: Researching continuous learning approaches for injecting new domain knowledge while retaining the model's foundational abilities and preventing catastrophic forgetting.- Agentic Systems: Developing a modular agentic framework to handle multi domain conversations through appropriate system abstractions.- Complex Multi-turn Instruction Following: Identifying approaches to guarantee compliance with instructions that specify standard operating procedures for handling multi-turn complex scenarios.- Inference-Time Adaptability: Researching inference-time scaling methods and improving in-context learning abilities of custom models to enable real-time adaptability to new features, actions, or bug fixes without solely relying on retraining.- Context Adherence: Exploring methods to ground responses in specific customer attributes, account information, and behavioral data to prevent hallucinations and ensure high-fidelity responses.- Policy Grounding: Investigating techniques to align bot behavior with evolving company policies by grounding on complex, unstructured policy documents, ensuring consistent and compliant actions.- End-to-End Dialog Policy Optimization: Researching alignment approaches to optimize successful dialog completions.- Scalable Evaluations: Developing automated approaches to evaluate the quality of experience, and correctness of agentic resolutions.Key job responsibilities- Research and development of LLM-based chatbots and conversational AI systems for customer service applications.- Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation.- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.- Collaborate with internal and external research communities, participate in conferences, and contribute to publications to advance the field.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 to a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative and 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and on associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- Master's degree- 2+ years of building machine learning models or developing algorithms for business application experience ...

About the RoleThis position will be part of the Sponsored Product Demand Utilization team within the Amazon Advertising organization. You will work hands-on with scientists from day one, with exposure to all aspects of model lifecycle, and productionization of ML systems. This position is ideal for an engineer with prior MLOps or MLInfra experience looking to have exposure to science, with impact and ownership through engineering.You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, Large Language Models, and Generative AI.About the OrgAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.Realtime systems within our org operate with tight 10s of milliseconds, and high throughput requirements for offline systems, resulting in high impact from performance optimization.Key job responsibilities* Serve as a tech lead for defining innovative and cutting edge ML infrastructure for both inference and training* Build POCs and infrastructure for deploying and supporting models in production. Own A/B testing of experiments using this infrastructure* Work closely with scientists across the org to understand requirements and impact opportunities* Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge ML Infra can help improve customer experience * Stay on top of modern ML Infra and ML Ops technologies to understand where they can provide the most value within the org* Help attract and recruit technical talent, mentor engineers and scientists in the teamAn ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Impact and Career Growth:This is a rare opportunity for an ML focused SDE within Amazon to work directly with, and sprint with talented scientists while delivering impact across teams in the SP Demand Utilization Org. You will have experience working with multiple stakeholders across the org. You will have hands-on experience building and deploying production machine learning systems at scale, with opportunities for some of the largest revenue impact from an org within Amazon. This is a highly visible role that will have a direct impact on customers and revenue!Why you love this opportunity:* Direct business impact, your work in sponsored products affects pixels on amazon.com and amazon app, with real, observable product impact.* Vertical integration with science and engineering, with opportunities to touch all aspects of the model lifecycle, through training, optimization and inference* Exposure to bleeding edge model optimization techniques for LLMs and other large models, with clear path to revenue impact from optimization. This is a rare opportunity across the industry to gain experience and drive exploration in techniques like quantization, sparsity, knowledge distillation and neural architecture search on large scale models in an enterprise setting.* Challenging technical space, where we care about fitting inference for the largest possible models within tight realtime constraints (10s of ms) and high performance of numerical systems is mission critical.* Large scale impact on revenue through delivery of bar-raising optimizations and solutions for teams across the org.* Latitude to innovate on greenfield projects, this is effectively an R&D role with the intention of innovating on existing legacy systems.BASIC QUALIFICATIONS* 3+ years of non-internship professional software development experience* 3+ years of programming with at least one software programming language experience* 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience* Experience as a mentor, tech lead or leading an engineering team* Experience with common machine learning techniques such as pre-processing data, training, and evaluation* Experience in building large-scale machine-learning MLOps infrastructure for inference, eval or other parts of the model lifecyclePREFERRED QUALIFICATIONS* 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience* Industry experience in software development.* Experience with production machine learning systems* Experience profiling and identifying performance bottlenecks on CPU, GPU or other accelerators (e.g. using nsys, torchprof, VTune, gprof etc...)* Excellent distributed systems (e.g. AWS or other cloud infra) design experience* Experience with ML libraries/frameworks such as PyTorch, JAX, Tensorflow, Keras etc...* Experience with MLOps tooling like MLFlow, Sagemaker, Kubeflow, DVC etc...* Experience with systems programming, and low level optimization in Rust, C++, C or other similar languages.* Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing* Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practicesBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 3+ 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 ...

As Global Fabric R&D Manager, you support all worldwide fabric textile development and translate our brand design philosophies into clear, executable, direction for vendors, suppliers, and other outside research institutes. This role will work closely with our product designers presenting inspired seasonal concept recommendations that ensure brand continuity, capture market trends, and align to business team briefs. You have an industry proven track record, and are comfortable executing the fabric development process from end-to-end – all while managing cost/value requirements. Please note, this is not fabric sourcing role. Key job responsibilities• Drive and execute to Amazon Fashion’s global fabric development initiatives• Own the end to end fabric development process, inclusive of implementing sustainability initiatives and specifying custom engineering requirements if appropriate• Work to proactively identify and resolve potential manufacturing and costing issues prior to development of print concepts to ensure quality execution in bulk • Build 3-5 year material research & development strategy to ensure Amazon Fashion Private brands is continuously innovating on behalf of customers. • Analyze fabric needs across the brand and make recommendations to Global Sourcing and Design for leveraging qualities across divisions • Support end-to-end data management and digitization of the fabric development process • Conduct market research and attend fabric shows as appropriate to gain perspective on innovation, trend and fabric refresh needs• Drive fabric development process improvements and seek opportunities to positively affect the Design organization and company • Manage product integrity by monitoring and refining laboratory testing requirements for core fabric library • Leverage material and product exclusivity by partnering with legal experts to ensure that we have proper patent agreements in placeBASIC QUALIFICATIONS- Bachelor's Degree in Textile Design, or Material Science- 10+ years in textile industry working with softlines apparel fabrics- Strong presentation skills- Strong interpersonal skills, including the ability to regularly interface with and influence senior management- Experience setting or collaborating on creative strategies- Organize and prioritize multiple projects having a sense of urgency in managing time and accomplishing tasks- Demonstrate proactive problem-solving skills, detail oriented, with strong follow through- Deep understanding of raw material development and cost engineering- Excellent technical knowledge of yarns, knits, wovens, and performance fabrications- Innovator ...

Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientist and business stakeholders across various verticals. You will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations.Key job responsibilitiesThis role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.A day in the lifeThis Role will:- Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.- Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. - Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.- Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data.- Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.About the teamRing Data Warehouse team manages the centralized data repository for Ring. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 9am-6pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as class or other employment during the Amazon work day.Amazon Studios is seeking a bright, multitasking, dynamic and self-motivated intern to work hard, have fun and make history with us this summer. The Amazon Studios Internship Program with our casting team gives interns hands-on experience working with the studio behind break-out shows such as Reacher, Mr. and Mrs. Smith, and many new exciting projects that are in the works. They will go in depth and learn about what goes in to casting our shows and how casting fits in to the whole process of putting a show together. They will also be exposed to our work on the film-side and see how casting a movie differs from casting a series.In addition to working closely with executives in our Culver City offices, interns have the opportunity to participate in guest speaker sessions, networking events and screenings.Key job responsibilitiesThe casting intern will work on a wide scope of projects, from large long-term projects to short-term day to day projects. On a daily basis, the intern will be responsible for reading scripts and generating character breakdowns for incoming projects, updating picture grids, listen in on kick off calls, helping with talent lists, and joining team calls to learn how our team collaborates. In the long term, the intern will work on tracking up-and-coming talent, update databases and lists for domestic and international talent, track social media patterns relating to casting, as well as a larger intern project that will span the semester, serving as a capstone project. Our main goal is for our intern to gain exposure to, if not the whole process, a large chunk of the timeline of both television shows and films at Amazon, starting from development stages out to casting our lead roles.A day in the lifeThe casting intern will report directly to the casting coordinator on our team who works across almost all series. The intern will help with writing character breakdowns, reading scripts, helping with idea lists, updating picture grids, and maintaining our internal databases. Each day is different, and while some days may be more admin heavy, others will be focused on listening on calls, learning more about the casting process, and meeting with internal stakeholders. BASIC QUALIFICATIONS• Have an expected graduate date between October 2025 - September 2027• Be able to work 40 hours/week and commit to a 12-week internship• Are enrolled in a Bachelor's degree or above in Film and Television Production, Digital Media, Multimedia Arts, Visual Arts, Communications, Business Management, Journalism, Screenwriting, Graphic Design, Audio Engineering, or majors relating to these fields. ...

AWS is looking for world class scientists and engineers to join Amazon Q Developer Machine Learning team to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer. Our scientists push boundaries in training large language models, code generation, retrieval-augmented generation, and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team 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.About the teamThe Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with training machine learning models at scale ...

You will work on embedded code for satellite payload software (LINUX and FreeRTOS). You will contribute to various core functionnalities including Over-The-Air (OTA) updates, hardware fault detection, isolation and remediation, operational state management, and devices integrity verifications (ex. PRBS). This position puts an emphasis on hardware and software integration and test automation. We are looking for an outstanding software engineer to participate in all phases of software development from requirements through implementation and test to operations.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesKey job responsibilitiesIn this role, you will drive the design, development, and operation of a variety of key functions such as commanding, telemetry, power control, hardware interfaces, and autonomous capabilities for each satellite throughout its lifetime – from launch to de-orbit.In this role, you will:Own unique embedded software functions through design, implementation (in RUST, C++, C or other), test, and integration in an embedded Linux or real-time operating system (RTOS) environment.Write software to interact with devices/electronics using I2C, I3C, SPI, RS-422, RS-485, Ethernet, etc. communications.Work closely with hardware teams to support board design, secure bring-up, and verification, as well as integration and test.Follow best practices in high reliability embedded software development to ensure high levels of satellite reliability and availability.Work on the Satellite Communication Systems Payload.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 ...

Amazon Devices Team is seeking an exceptionally driven, resourceful, and proactive Executive Assistant to help support the fast-moving organization. This exciting role requires superior attention to detail, the ability to meet tight deadlines, great organizational skills, and the ability to juggle multiple critical requests. The right candidate will have a strong sense of ownership, bias for action, and be able to work accurately when under pressure to meet tight deadlines.You will be responsible for a wide range of activities including management of a fast-changing and complex executive calendar, and tracking key deliverables. Other activities may include planning and managing events and space planning.Key job responsibilities• Manage complex calendar and scheduling requirements• High judgment and decision making in an ambiguous environment• Proactively coordinate and engage with leadership in planning and organizing events, activities, and calendars Planning executive Domestic and International Travel• Play a leadership role with the administrative support team• Problem solving and very strong analytical skill capabilities• Excellent communication (written and verbal) and interpersonal skills• Grace under pressure, sound judgment, and flexibility in balancing competing priorities• Track and help drive completion of key deliverables and following up on outstanding items• Manage group logistics• Participate in planning of key meetings and events• Work with other assistants throughout the org and across the rest of the companyBASIC QUALIFICATIONS- Experience with Microsoft Office products and applications ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Operations Manager. In this role, you will lead and develop a team of salaried and hourly talent. You will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. To achieve this, managers are expected to provide their team with the tools needed for success while driving improvements in productivity and efficiency through data-driven decisions and analytical problem-solving. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key Responsibilities and Job Elements:* Support, mentor, and motivate your salaried and hourly workforce* Lead large-scope projects with site and regional impact* Build and execute productivity plans through forecast reviews, determining productivity requirements, and partnering with other Leaders to load balance* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Operations Managers based on location preference and the business’ current openings.To learn more about Amazon’s operations and see how our fulfillment centers in the U.S. and Canada work, watch a short video or take part in a live virtual tour.Video with subtitles: https://www.amazon.com/videotourLive virtual tours: https://www.amazon.com/virtualtoursBASIC QUALIFICATIONS- 3+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

AWS 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.As our Data Center Manager of Construction (CM MGR), you will be a part of a diverse, upbeat, and creative team tasked with solving fascinating problems constructing Amazon Data Centers. Our data centers are industry-leading examples of energy efficient and cost-effective designs. You will:• Own project scope, quality, schedule, and budget for construction of new builds or general capital projects.• Own construction project management and oversight of construction related activities.• Work alongside partner teams such as Operations, Networking, Controls, Security, and Commissioning to build Data Centers that directly support our Customers.• Be a leader in your specific discipline (construction management, building services, architectural, electrical or mechanical engineering).• Represent Amazon’s owner’s representative on construction sites daily, as, interacting with construction trades. At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from the design review to construction bidding, execution, and final hand-off to our customers. We develop innovative data centers for our Customers.Key job responsibilities• Be Amazon’s construction representative on multiple data centers building and capital improvement construction project sites from construction start through hand-off to operations.• Direct interface with construction general contractors during the construction bidding, award, execution, punch-list, and closeout phases.• Create construction project Scope of Work (SOW) and Request for Proposals (RFP).• Conduct negotiations with general contractors and evaluate bids and proposals with detail and accuracy.• Manage and drive cost, schedule, and quality while managing construction contractors and vendors.• Perform construction project management activities, including management of documents, submittals, RFIs, change orders, invoices, quality, scope, and schedule.• Drive construction teams to troubleshoot and perform root-cause failure analysis on equipment failures.• Support commissioning and integrated system testing and oversight.• Support operations of installed facilities, including review of procedures, best practices, and maintenance initiatives.• Support capital request creation.• Analyze and report construction progress and financials.• Record and report key construction metrics to team members and management.• Contribute to construction initiatives aimed at improving construction efficiency and increasing data center resiliency.• Provide constructability reviews for civil, structural, electrical and mechanical designs for new or optimization of existing data centers.• Be a leader within the group, and within internal and external data center support teams.About the teamDiverse 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. 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.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 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. BASIC QUALIFICATIONS • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Construction Management, or an equivalent engineering science plus 10 years of relevant construction experience, OR 14 years of relevant construction experience in lieu of a degree.• 5+ years of experience directly managing, mentoring, leading, and coaching teams of construction professionals.• 5+ years of experience hiring, promoting, disciplining, and developing teams of construction professionals.• 6+ years of experience in construction management of large, complex projects involving large-scale mechanical, electrical, and plumbing (MEP) plants.• 6+ years of general contractor and vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution and 5+ years of experience managing construction of complex electrical and mechanical engineering systems, including large scale power distribution or generation, and cooling systems. ...

The Amazon Search Relevance team owns ranking relevant results when customers search for products on Amazon. Our systems and algorithms operate on one of the world's largest product catalogs, surfacing the right products - with a high relevance bar and strict latency constraints. We are looking for Machine Learning Engineer to join our Search MLOps team to help accelerate ML lifecycle automation and MLOps best practices adoption across all of CDO.This cross-functional team will focus on building state of the art ML automation features critical to CDO use-cases in close partnership with the AWS SageMaker team. As an engineer on this team you will be working closely with Senior Software Engineers in CDO and SageMaker to define common ML lifecycle best practices, and to design and build pioneering world-class ML automation features on top of SageMaker for multiple domains and use-cases. This is a unique opportunity to gain technical expertise in highly sought-after skills at Amazon scale, to learn SageMaker technologies, and to apply these skills to create production pipelines for the entire ML model lifecycle from training to inference. Your contributions will have a major impact by enabling, not only CDO orgs, but also external AWS customers who operate at Amazon scale. Our ideal candidate is collaborative, innovative, and interested in working on the intersection of Machine Learning, Software Engineering, and AWS ML architecture. Key job responsibilities1. Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points2. Design and develop tools for monitoring the performance of machine learning models at scale3. Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments4. Design and develop reproducible ML Pipelines orchestrating various components for ML models.5. Embrace and champion engineering best practices within your group and beyond6. Produce clean, high-quality code, tests, and written documentationBASIC 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 ...

Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis.You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially with computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team. As an Applied Scientist on this team, you will:* Drive end-to-end GenAI projects that have a high degree of ambiguity, scale and complexity.* Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Identify and action data collection and labelling in conjunction with team members.* Research new and innovative machine learning approaches.* Present results and explain methods to senior leadership.Why you will love this opportunityAmazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Key job responsibilitiesThis role is focused on computer vision, latent diffusion models, and the related foundational models to produce generative imagery and videos. You will develop core models that will be the foundational of the core advertising-facing tools that we are launching. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, who will partner with you to productize your work. A day in the lifeOn a day-to-day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership.About the teamThe team consists of applied scientists and machine learning engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.BASIC QUALIFICATIONS- 3+ years of building ML models- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience- Experience programming in Python or C++ or a related language- Experience with GenAI model training and tuning ...

We are seeking a highly talented, big thinker to play a key role on our Alexa Finance team, supporting a new monetization initiative. Over the past decade Amazon has developed a number of market-leading, innovative, and fast-growing digital businesses including Kindle, Kindle Fire Tablets, Fire TV and Echo. This is an exciting opportunity for an entrepreneurial minded candidate who wants to join one of the most innovative businesses at Amazon and one of the fastest growing segments within Alexa. This is an exciting opportunity for an entrepreneurial minded candidate who wants to join one of the most innovative and evolving businesses at Amazon and in Alexa.A successful candidate will be a strategic thinker, highly analytical, creative, demonstrates an ability to influence business owners, and supports decision making in rapidly evolving environments. The role requires a self-starter with the ability to be strategic, analytical, and have a demonstrated ability to effectively manage the financial responsibilities of a complex business. It requires strong business modeling skills, a keen attention to detail, and ability to work in a fast-paced environment. The candidate must have the aptitude to incorporate new approaches and methodologies (including statistical concepts) while dealing with big data. This role also has regular interaction with executives and various business units across Amazon and therefore requires strong interpersonal and communication skills. Key job responsibilitiesKey job responsibilities•Leading the financial planning and forecasting process for a new Alexa product worldwide•Building and presenting KPI dashboards with financial and business insights each month and quarter•Owning finance communication with the business teams on product performance, long term planning, risks, and opportunities.•Driving automation and scale of financial reporting in order to simplify process for internal stakeholders (e.g., finance peers and monetization partners)•Lead deep dives into key cost drivers for month end reviews, forecasts, and annual operating plans•Building financial models for new business conceptsBASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, or Bachelor's degree and 5+ years of finance or a related analytical field experience ...