Senior Specialist Technical Account Manager - AI/ML, ES - EMEA-STAM

AWS EMEA SARL (UK Branch)
London
8 months ago
Applications closed

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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


Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Do you like to solve the most complex and large-scale challenges in the world today? Would you like a career that gives you opportunities to help customers and partners that use cloud computing services to run their solutions faster, safer and at lower cost?

At AWS Enterprise Support we are looking for a Senior Specialist Technical Account Manager (STAM) to provide unique deep-dive technical engagements for our Enterprise customers across the EMEA. You would be one of the founding members of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.



Key job responsibilities
You will provide strategic technical guidance to proactively improve performance, reliability, security and cost-effectiveness of customers’ solutions using AWS best practices. This role will focus on AI/ML AWS services such as Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, and Amazon Comprehend.

This position will require the ability to travel 20% or more as needed.


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

- Experience in design/implementation/operations/consulting with distributed applications
- Experience in technical engineering
- Bachelor's degree
- Internal enterprise or external customer-facing experience as a technical lead
- MSc or PhD in a relevant topic for AI/ML

PREFERRED QUALIFICATIONS

- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role
- Experience (5+ years) in either designing or supporting the AI/ML technologies, like Apache MxNet, TensorFlow, Amazon SageMaker, Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend and Amazon Rekognition.
- Company or regional-level recognition in the area of specialization.
- Ability to understand complex application data flows and bridge the gap between technical and business app requirements.
- 10+ years of technical engineering experience
- Experience in operational parameters and troubleshooting for four (4) or more of the following: Compute / Storage / Networking / CDN / Databases / DevOps / Big Data and Analytics / Security / Applications Development in a distributed systems environment
- Experience in Informational Technology operations
- Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)
- Experience with AWS services and/or other cloud offerings

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