דרושים Principal Applied Scientist Inventory Planning Control ב-אמזון ב-United States, New York, New York

Sales, Marketing and Global Services (SMGS)Key job responsibilities
- Develop deep and trusted relationships with CxOs and leadership of selected market making System Integration Partners in Saudi Arabia by gaining a comprehensive understanding of their challenges, goals, and long-term vision.- Manage C-level relationships with key partners- Lead by example by attaining requisite trainings ( technical and commercial ) to be able to inspire the partners and their staff
- Be comfortable engaging across levels and personas at partner accountsAbout the team
Diverse Experiences
AWS 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level

Key job responsibilities
As an AS on our team, you will:- Independently collect and analyze data
- Develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software

- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 2+ years of building models for business application experience
- 2+ years of hands-on predictive modeling and large data analysis experience

- Experience in designing experiments and statistical analysis of results
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Every day will bring new and exciting challenges on the job while you:* Provide field support to resolve inquiries from Enterprise customers regarding AWS service or Cloud.
* Complete analysis and present periodic reviews of operational performance to customer
* Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
* Ensure AWS environments remain operationally healthy whilst reducing cost and complexity
* Foster trusting relationships with customers, understanding their business needs and technical challenges
* Lead technical discussions with senior leadership regarding incidents, trade-offs, and risk management
* Work directly with AWS global engineering and service teams to resolve customer issue.TAM 으로서 여러분은 대기업 고객 (ICT, 제조, 운송, 에너지 산업 등) 이 EC2, RDS, ECS/EKS, GenAI, 보안/거버넌스 등 다양한 AWS 서비스를 도입 및 사용할 수 있도록 전략의 수립 및 이행을 지원하게 됩니다. 기술적 및 고객 응대 역량을 발휘하여 고객사 환경 내에서 AWS를 효과적으로 대표하고 사고/장애, 트레이드 오프 및 리스크 관리에 대하여 시니어 리더십과의 논의를 주도합니다. 표준적인 방법론을 활용하여 솔루션 기획, 빌드에 있어 전략/기술적 방향성 및 변론을 제공하고, 고객의 AWS 운영 환경을 양호하게 유지하기 위해 적극적으로 개입합니다. 고객과 긴밀한 협력 관계를 구축하여 고객의 비즈니스/운영상의 필요와 기술적 해결 과제를 파악하고 AWS에서 최대한의 가치를 실현할 수 있도록 보조합니다.우리 팀에서는 IT 아키텍팅 및 운영 (OS/미들웨어/DB/네트워크 관리, 고객센터 시스템/어플리케이션 관리 등 유관 분야) 에 해박한 배경지식을 지닌 후보자를 찾고 있습니다. Enterprise Support 가 고객에게 가치를 제공함에 있어 TAM으로서 중점적 역할을 맡아 혁신의 최전선에서 함께 하고싶은 분이라면 누구나 환영입니다.여러분은 다음과 같은 직무를 수행하며 매일 새롭고 가슴 뛰는 도전을 하게 될 것입니다:* 현장 지원을 통해 AWS 서비스 및 클라우드 관련한 기업 고객의 요청/문의 해결
* 운영상의 퍼포먼스에 대한 완전한 분석 및 주기적 검토 결과를 고객에게 제공
* 서비스 중단, 지표 및 구체적인 론칭 전 계획에 대한 자세한 검토 수행
* 비용 및 복잡성을 낮추는 동시에 AWS 환경이 운영상 양호한 상태를 유지하도록 보장
* 고객과 신뢰관계를 구축하고 고객의 비즈니스 니즈 및 기술적 해결과제를 파악
* 사고/장애, 트레이드 오프 및 리스크 관리와 관련하여 시니어 리더십과 기술적 논의를 주도
* AWS 글로벌 엔지니어링 및 서비스 팀과 직접 협력하여 고객 이슈 해결A day in the lifeDiverse Experiences
AWS 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance* 해당 직무는 Korea Enterprise Support 팀 소속입니다. Enterprise Support팀은 아마존 웹 서비스(AWS) 내에서 가장 빠르게 성장하고 있는 조직 중 하나로 산업 부문이나 규모를 막론하고 모든 고객사가 AWS로부터 최선의 가치와 서비스를 제공받을 수 있도록 지원합니다. AWS Enterprise Support 팀에서는 컴퓨트, 스토리지, 데이터베이스, GenAI, 애플리케이션 레벨 서비스, 네트워킹, 서버리스 등 다양한 테크놀로지 영역 전반에서 고객의 혁신을 함께할 Technical Account Manager (TAM)을 채용 중입니다. TAM은 세일즈 직무가 아니며, 주요한 기술 고문이 될 수 있는 기회로서 스타트업에서 대기업에 이르기까지 디지털 전환의 여정을 이제 막 시작한, 또는 이어 나가고 있는 다양한 규모의 고객에게 ‘고객의 목소리’가 되어줄 수 있습니다.

- 7+ years of experience in IT system architecture, implementation, operations, and consulting, with a focus on distributed applications.
- Experience working for enterprise IT companies or with mission-critical enterprise business customers.

- Experience with operating and troubleshooting in at least three of the following areas: compute, storage, networking, CDN, databases, DevOps, big data and analytics, security, or application development in a distributed systems environment.
- Fluent business communication skills in English.
- Bachelor’s Degree in Computer Science, Math, or related discipline required, or equivalent work experience.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
As an Applied Scientist, your day-to-day responsibilities will include:Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision.Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team.
As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- Experience using Unix/Linux
- Experience in professional software development

Application deadline: Dec 26, 2025You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist, you will
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers build their solutions through approaches such as prompt engineering, model selection, training or fine-tuning
• Provide customer and market feedback to product and engineering teams to help define product directionDiverse 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
Work/Life BalanceMentorship 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.AWS Global Services

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.A day in the life
As a member of the Delivery Foundation Model team, you’ll spend your day on the following:
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference- Conduct experiments and prototype new ideas

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
- Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry- Experience mentoring junior scientists / engineers.

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.Key job responsibilities
Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions.Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions.Partner cross functionally to develop and maintain measurement frameworks to evaluate initiative and program effectiveness.Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions.Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders.Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results.Roll up sleeves and build sophisticated data models and data analysis as needed.
AWS 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.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 Balance

- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with sales enablement platforms

- Experience interpreting data and making business recommendations
- MBAPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.