National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Technical Account Manager (Israel), Strategic Accounts

Amazon
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Analytics Manager

Trainee Recruitment Consultant (Progression to Director)

Graduate/Trainee Recruitment Consultant

Senior Data Engineer

Carbon Data Scientist

Senior Technical Account Manager (Israel), Strategic Accounts

Job ID: 2879842 | AWS EMEA SARL (Israel Branch)

Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS), and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers’ creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to our most strategic organizations.


AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.


Key job responsibilities

  1. You’ll build solutions, provide technical guidance and advocate for the customer.
  2. Ensure AWS environments remain operationally healthy whilst reducing cost and complexity.
  3. Develop trusting relationships with customers, understanding their business needs and technical challenges.
  4. Using your technical acumen and customer obsession, you’ll drive technical discussions regarding incidents, trade-offs, and risk management.
  5. Consult with a range of partners from developers through to C-suite executives.
  6. Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
  7. With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS.
  8. Provide detailed reviews of service disruptions, metrics, detailed pre-launch planning.
  9. Solve a variety of problems across different customers as they migrate their workloads to the cloud.
  10. Uplift customer capabilities by running workshops, brown bag sessions, etc.


The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!


A day in the life

As a TAM, you will help craft and execute strategies to drive our customers’ adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, Bedrock, SageMaker, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support, and risk management.

You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS.


About the team

Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.


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 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.


BASIC QUALIFICATIONS

  • 5+ years of design/implementation/operations/consulting with distributed applications experience.
  • 5+ years of technical engineering experience.

PREFERRED QUALIFICATIONS

  • Experience in a 24x7 operational services or support environment.
  • Experience in internal enterprise or external customer-facing environment as a technical lead.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visitherefor more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.