דרושים Sr Business Value Advisor - Aws Cloud Economics ב-אמזון ב-United States, New York, New York

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
Diverse Experiences
AWS 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?Inclusive Team CultureMentorship & 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

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.Key job responsibilities

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

· Enjoy working with large, global customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of enterprise customers.
· Have a strong understanding of large-scale computing solutions.Key job responsibilities
Roles and Responsibilities· Formulate and execute a cloud adoption strategy that delights our customers and builds strong relationships that lead to strategic revenue streams that exceed AWS objectives.
· Become a trusted advisor by gaining deep knowledge of AWS services, design patterns and best practices, and sharing that knowledge with clients, other SAs and the wider AWS builder community.
· Act as the voice of the customer for AWS service teams to enhance the AWS platform
· Work with other SAs to develop reusable solutions to common business and architectural problems.
· Educate customers by leading workshops and hands-on classes to demonstrate how to use AWS services.
· Network and build deep relationships with senior technical individuals within customer organizations to enable them to be cloud advocates.
· Author and contribute to AWS customer-facing publications such as whitepapers, blog posts and open source projects, and speak at public events.
· Help hire, on-board and train new SAs via mentorship and builder programs.
About the team
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.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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities

Key job responsibilities
- Originating content partner relationships
- Acquiring new channels

- Bachelor's degree
- 5+ years of professional or military experience
- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience in the entertainment industry
- Experience managing partner relationships

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

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.As a Senior Manager, ML Infrastructure, you will lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI/ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience partnering with product or program management teams
- Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

- Experience designing and developing large scale, high-traffic applications
- Bachelor's degree in computer science, computer engineering, or related technical field
- Experience with AWS infrastructure and services

About Sponsored Products and Brands
Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ 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 AI/ML technologies

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
Design and implement programs that address specific startup and investor needsMeasure program effectiveness and iterate based on feedback and resultsAbout the team
Diverse Experiences
AWS 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.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 in technology industry focused on startups/venture capital, with technical leadership background preferred
- Experience building and leading high-performing teams in fast-paced environments
- Proven ability to evaluate and guide early-stage and scaling companies
- Demonstrated success developing and executing business initiatives that drive measurable outcomes
- Bachelor’s degree in computer science, Engineering, or related technical field, or equivalent professional experience

- Startup founder, C-level executive, or venture capital investment experience with hands-on understanding of startup challenges and growth dynamics
- Advanced degree (MBA, MS, or PhD) in business, technology, or related field
- Experience leading teams through rapid scaling phases and organizational growth
- Strong analytical and technical assessment skills with ability to evaluate complex requirements and business models
- Commercial acumen in fast-growing technology businesses, including understanding of scaling challenges and go-to-market strategies
- Proven track record identifying, evaluating, and advising on emerging technologies and market trends
- Multi-domain technical expertise across areas such as AI/ML, cybersecurity, data analytics, or infrastructure technologies