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Principal GTM Specialist – Amazon Quick, WWSO EMEA, WWSO

Amazon


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (22 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Are you a customer-obsessed builder with a passion for helping enterprises transform how work gets done Amazon Quick is the AI assistant built for work turning questions into answers answers into actions and actions into outcomes and we need a GTM leader who can take that vision to every enterprise in EMEA. Do you combine deep domain expertise in enterprise productivity with the business acumen to land transformation programmes tied to real customer outcomes Do you thrive at the intersection of technology strategy and commercial execution
Join the EMEA Go-to-Market Specialist Team to grow Amazon Quick adoption across some of the most exciting businesses in the is a Principal-level GTM Specialist role that will design and execute use-case-led motions across sales finance marketing HR legal and IT that land measurable business outcomes.


The Worldwide Specialist Organization (WWSO) is part of AWS Sales Marketing and Global Services (SMGS). We work backwards from our customers most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development specialist solutions architecture and go-to-market.

This is a Principal-level GenAI GTM Specialist role responsible for driving enterprise Generative AI adoption across EMEA. Rather than owning a single service you will own the cross-cutting GenAI transformation narrative spanning Amazon Bedrock agentic architectures foundation model strategy and emerging GenAI capabilities and translate it into use-case-led motions that land measurable business outcomes in customers.


Key job responsibilities
Own the EMEA GTM strategy for Amazon Quick driving enterprise adoption through use-case-led motions that show how Amazon Quick adds value for customers
Develop and execute account-level strategies for customer success guiding organizations from proof-of-concept to production and value creation at scale.
Operate at the CxO/VP and practitioner level engage senior business leaders on how Amazon Quick transforms the way their organisation works while simultaneously working with IT leaders developers and architects on enterprise deployment best practices.
Build and execute scaled GTM programmes design motions including customer roundtables use-case workshops and regional campaigns that create awareness and accelerate adoption of Amazon Quick.
Thought Leadership create packaged deliverables and drive enablement that raises the bar across the EMEA field.
Be the voice of EMEA customers to Product synthesise regional customer requirements and emerging agentic patterns into actionable feedback that shapes the Amazon Quick roadmap.

What Were Looking For

Deep domain expertise in enterprise business productivity collaboration or SaaS platforms with demonstrable understanding of how AI is transforming knowledge work content creation and business intelligence.
Demonstrated ability to land AI or digital transformation programmes in enterprise customers translating technology capability into business outcomes by use case.
A blend of technical depth and commercial acumen equally comfortable articulating how agentic workflows and enterprise AI assistants work while presenting a productivity transformation strategy to a C-suite.
Experience building and executing GTM strategies at scale in a fast-moving technology domain ideally in business productivity collaboration tools or enterprise SaaS.
Data-driven approach to prioritisation using pipeline data propensity signals and market intelligence to focus effort where it matters most.
Experience in enterprise technology sales solutions architecture or technical business development with a focus on productivity platforms AI/ML or cloud services.



A day in the life
You will lead the go-to-market strategy for Amazon Quick. You might start your morning on a deep-dive with an Enterprise customer mapping their enterprise-wide AI rollout strategy showing how Quicks knowledge graph learns each employees priorities preferences and network to deliver deeply personalised assistance across sales finance marketing and operations. After lunch youre running a use-case workshop with a major Retailers IT leadership helping them see how Amazon Quick can connect to data sources help them build interactive dashboards and automate workflows and building the business case to take to their board.
Later youre jumping into a pipeline review with a sales leader to understand how to support opportunities that are ready to move from pilot to production. Youll collaborate daily with account teams solution architects customer success managers and AWS service teams connecting the dots between customer business priorities Amazon Quicks capabilities and market opportunity. Your job is to make the complex simple: translating the art of the possible in AI-powered work into concrete transformation programmes that customers can execute and measure.


About the team
The EMEA WWSO AI/ML Geo Specialist team within AWSs Worldwide Specialist Organization owns and executes go-to-market strategy for the full portfolio of AWS AI/ML services. We serve customers across the complete AI lifecycle while also leading the way to drive net new innovative use cases in this domain. Our customers include some of the most technically sophisticated organizations in the world and our work directly impacts how AI is built and deployed across EMEA.

- Experience in developing negotiating and executing business agreements
- Experience in a professional field or military
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience working with Core Cloud Technology Services including but not limited to Compute Edge Hybrid Security and/or Networking
- Experience working with Business Application Technologies including but not limited to End User Compute (EUC) Supply Chain Contact Center as a Service Consumer Data Applications Encrypted Communications and/or Communication Developer Services
- Experience solving problems with technology in the Healthcare/Life Sciences Industry
- Experience solving problems with technology in the Media & Entertainment Industry
- Experience solving problems with technology in the Global Financial Services Industry
- Experience solving problems with technology in the Telecommunications industry
- Experience solving problems with technology in the Automotive & Manufacturing industries
- Experience solving problems with technology in the Energy & Utilities industries
- Experience in Go-To-Market Business Development Sales or Consulting
- Experience working with Advanced Compute technologies including but not limited to: Accelerated Compute High Performance Compute Visual/Spatial Compute and/or IoT.
- Experience working with Enterprise Application Modernization and Migration technologies including but not limited to Mainframe Serverless Containers or Cloud Operations
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage

- Experience as a founder or executive focused on related segments or as a practice leader or business unit owner
- Experience selling to Fortune 1000 or Global 2000 organizations

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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Required Experience:

Staff IC


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