Senior Sales Executive Amazon Shipping jobs at Amazon in Spain, Madrid

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

-5+ years of experience with direct customer (internal or external) interaction with responsibilities in AI / ML / GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.
-A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
-Ability to think strategically about business, solutions and technical challenges.

-5+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
-Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
-AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
-Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

You 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.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

You will build new services and experiences and be working with new technologies that improve usability of Amazon Business registration process, and increase its performance and scalability. You will also work with a wide range of teams across Amazon.Key job responsibilities- Own the complete software development lifecycle from conception to production, including requirements gathering, technical design, implementation, testing, documentation, deployment, and continuous improvement.
- Design, develop, and maintain innovative solutions utilizing both front-end and back-end technologies, starting with broadly defined problems.- Work in an agile environment to deliver high quality software.
A day in the life
You participate in daily sync meetings to share progress with the team and attend weekly reviews of your services' operational metrics. Working closely with Product Managers and UX designers, you help refine requirements for upcoming features and translate them into technical solutions. Your day involves creating detailed technical designs, presenting them to the team for feedback, and implementing robust solutions. You deploy infrastructure in AWS, code back-end logic in Java, and front-end logic using React framework. After deployment to production, you partner with QA engineers to ensure high quality through comprehensive testing. You regularly analyze customer impact data with Product Managers, using these insights to iterate and improve your solutions. Throughout this process, you leverage dashboards to monitor performance and maintain operational excellence.

- Bachelor's degree in computer science or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience programming with at least one software programming language
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

- Master's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience building complex software systems that have been successfully delivered to customers
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

Key job responsibilities
- Design and modify scalable software architecture of full stack systems.
- Deliver personalized experience that requires machine learning and data engineering skills
- Work independently to deliver and maintain features.
- Apply software engineering best practices to the development life cycle (incremental delivery, coding standards, code reviews, source control management, build processes, testing, operations...).
- Engage in continuous prioritization efforts to balance out fast paced business requirements with long term technical investments.A day in the life- Shipping and reviewing code
- Focusing on Operational Excellence (development processes, monitoring, code deployment, automated testing, dashboarding...).Sr. Software Development Engineers (SDEIIIs) oversees and secure the technical strategy, design and quality of this space.

- Experience as a mentor, tech lead or leading an engineering team
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in development in the last 3 years

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

You and your team will be responsible for all aspects of the customer experience - from the visual interface to the back-end services. You will be working with new technologies that improve usability and increase performance and scalability. You will help redefine normal for the business ecommerce market.You will help translate business requirements to technical deliverables and deliver operationally stable solutions that provide good customer experience. Candidates need to have strong ownership, passion to provide great customer experience and extreme focus on deliver results.
Key job responsibilities
As a Software Development Engineer, you will:- Design and code the right solutions starting with broadly defined problems.
- Build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
- Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Work in an agile environment to deliver high quality software.

- Bachelor's degree in computer science or equivalent
- Experience building complex software systems that have been successfully delivered to customers
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- Master's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and 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.We're looking for a Mechanical Engineer with a background in mechanical design of spacecraft components, precision testing equipment, tooling and fixtures. The role is within the propulsion team, and the ideal candidate has experience in mechanical spacecraft hardware from conception through flight qualification, with understanding of materials and processes, GD&T, and design to dynamic and thermal requirements. Favorable consideration given for experience developing components, assemblies, and mechanisms for operation in high-vacuum environments. Propulsion background is desired but not required, and the position offers opportunity for a strong candidate to join an exciting project in the field of spacecraft electric propulsion. This is a hands-on role for a highly collaborative individual that combines superb technical, and analytical capabilities to transition theoretical guidance and requirements into performant hardware optimized to be lightweight, cost effective and manufacturability.Key job responsibilities
* Mechanical design of propulsion subsystem, sub-systems and test-fixtures.
* Collaborating with the propulsion team to deliver low-mass and low-cost designs optimized for manufacturability in volume.
* Generate detailed designs and conduct/enable thermal modelling along with static, dynamic and modal structural analysis as needed.
* Support integration of designs into propulsion performance models.
* Tolerance analyses and verification of critical clearances for sub-system components.
* Preparation and documentation of materials for design review gates.
* Support and/or lead root cause and corrective action plans in result of manufacturing non-conformances.
* Contribute to the propulsion system development and maturation to high volume manufacturing by generating and maintaining procedures including: part/ component acceptance tests, assembly procedures and, qualification test plans.

- 4+ years of working in mechanical engineering or equivalent experience
- Experience with prototyping and implementation
- Bachelor's degree in mechanical engineering or equivalent

- Experience in the design of complex mechanical products and equipment at volume
- 3+ years experience CAD software expertise (Siemens NX, SolidWorks, etc.)
- 1+ year experience with GD&T per ANSI Y14.5M
- Tooling design
- Flight hardware experience
- Stress analysis
- High volume manufacturing
- Knowledge of machining processes, design for manufacturing
- Advanced degree (Master’s or PhD) in structural or mechanical engineering or related discipline

You 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.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet