Sr Enterprise Sales Specialist Cloud Infrastructure

Amazon is hiring a Sr Enterprise Sales Specialist Cloud Infrastructure in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this sales role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Claude, Anthropic and Bedrock.
Level lists 21,000+ other open roles at Amazon.

AI in this role

claudeanthropicbedrocksagemakerdatabricks

ai-automation

Senior Enterprise Sales Specialist, Cloud Infrastructure

Do you obsess over customer outcomes?

We're looking for a Senior Enterprise Sales Specialist, Cloud Infrastructure who starts with the customer's business challenge, works backwards from their goals, and builds migration and modernisation solutions that deliver real, measurable value across the full AWS platform.

Join a team of driven sales specialists focused on helping UK and Ireland customers achieve transformational business outcomes through cloud migration and modernisation. You will earn trust by deeply understanding each customer's priorities, then build pipeline and close revenue by positioning migration not as a technology project but as the fastest path to the business results they care about.

The ideal candidate is a quota-carrying sales specialist who leads with customer empathy and backs it with technical credibility. You engage at CXO level to understand business pain, and propose solutions that genuinely solve problems. You see migration as the commercial catalyst for larger transformation programmes that culminate in AI adoption and intelligent automation, and you build pipeline by earning trust and demonstrating long-term value. You thrive in ambiguity, own outcomes end-to-end, and make decisions independently. You are a self-starter, ready to develop and execute account and territory plans that exceed targets. You bring strong knowledge of SaaS and on-premises infrastructure (Nutanix, VMware, Hyper-V), colocation and hosting environments, and cloud platforms (GCP, Azure), along with a working understanding of Microsoft licensing and enterprise agreements.

How you will spend your time

80% working directly with customers: understanding their business objectives, uncovering what success looks like for them, and designing the most effective path from migration through to full platform value on AWS.
20% creating campaigns and building thought leadership: developing strategic campaigns that generate net-new pipeline and establishing yourself as a trusted voice in your domain.
You will engage across the full transformation lifecycle:

Migrate: infrastructure landing and workload mobility
Modernise: application refactoring, containerisation, serverless adoption
Activate Data: analytics, lake formation, AI/ML readiness
Deploy Applications: GenAI, agentic workloads, intelligent automation
Your role is to find, build, and close opportunities across this lifecycle, always starting from the customer's desired outcomes and working backwards to the right solution.

Key job responsibilities
- Deeply understand customer business objectives, industry dynamics, and competitive pressures to identify where migration and modernisation can deliver the highest-impact outcomes.
- Generate and manage pipeline for AWS Migrations and Modernisations within defined verticals in the UK and Ireland, rooted in genuine customer need.
- Identify, qualify and close M&M deals from the largest, priority customers and targets in your verticals, positioning migration as the entry point to broader platform value that solves real business problems.
- Think Big: own the strategy to grow the migration and modernisation business in your territory. Design and execute campaigns, create new routes to market, and identify untapped customer segments or use cases that expand the addressable opportunity beyond today's pipeline.
- Drive thought leadership that tells the end-to-end transformation story: from migration through modernisation, data activation, and AI deployment. Create content, deliver keynotes, host executive roundtables, and build market awareness that positions AWS as the platform for customers building the company of the future.
- Develop and deliver executive-level narratives that start with the customer's challenges: cost pressure, speed to market, data-driven decision making, operational resilience, and map these to migration and modernisation outcomes.
- Build compelling commercial propositions that connect migration events with data modernisation, AI adoption, and agentic business transformation, always anchored to customer-defined success metrics.
- Position AI and GenAI as the outcome layer of migration: help customers see how moving to AWS unlocks access to services like Amazon Bedrock, SageMaker, and partner AI technologies (e.g. Anthropic Claude) to drive competitive advantage post-migration.
- Own revenue targets across the full transformation lifecycle. Drive upsell and expansion by delivering on earlier promises and demonstrating measurable customer value at each stage.
- Work cross-functionally with Solutions Architects, Customer Success, Partner teams, Professional Services, and Product to inventory customers' existing software estates, build business cases for transformation, develop implementation plans, and close agreements.
- Build and execute co-sell motions with Global Systems Integrators (e.g. Accenture, Deloitte, TCS, Wipro) and strategic technology partners (e.g. Anthropic, Databricks) to bring joint migration-to-AI propositions to market and accelerate deal cycles.
- Leverage the AWS partner ecosystem to ensure customers get the right delivery support across large-scale migration and modernisation programmes.
- Respond to RFI/RFPs with differentiated, platform-level proposals that address what customers actually asked for, not generic capability decks.
- Maintain an accurate pipeline and forecast; deliver predictable revenue against quota.
- Act as the voice of the customer internally: feed customer insights back to product, engineering, and partner teams to improve the AWS migration and modernisation experience.
- Travel to customer sites across the UK and Ireland as needed

About 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.

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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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
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.

Basic qualifications

- Experience in sales or sales management of infrastructure or cloud technology
- Experience in management of large, complex enterprise accounts or equivalent
- Experience in large complex deal negotiations with a successful track record
- Experience in virtualization environments based on Microsoft Hyper-V, KVM, and VMware products
- Experience of large-scale migration/data centre exit projects and key migration phases

Preferred qualifications

- Bachelor's degree or above

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 (https://www.amazon.jobs/en/privacy_page) 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.

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 visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr Enterprise Sales Specialist Cloud Infrastructure at Amazon rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Enterprise Sales Specialist Cloud Infrastructure is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on July 21, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationClaudeAnthropicBedrockSageMakerDatabricks

Also common in sales jobs at this level

AI agents Machine learning SQL LLM Python Kubernetes

Pay

Typical sales job: $140k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Walk me through how you've used Claude in your day-to-day work.
What are the limits of Anthropic that you've run into, and how did you work around them?
What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Automation, Claude, Anthropic, Bedrock, and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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