At a Glance
- Tasks: Lead the strategy for AI-driven software development across EMEA and drive enterprise adoption.
- Company: Join AWS, a leader in innovative technology and AI solutions.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and customer success.
- Why this job: Be at the forefront of AI transformation in software development and make a real impact.
- Qualifications: Experience in Go-To-Market strategies and engaging with C-level executives.
The predicted salary is between 63000 - 77000 £ per year.
Description
Are you passionate about how Agentic AI is transforming the way software is built, tested, and maintained?
Would you like to be part of a team that is helping customers deliver value faster while maintaining security and reliability standards?
Are you passionate about how Agentic AI is transforming the way software is built, tested, and maintained?
Would you like to be part of a team that is helping customers deliver value faster while maintaining security and reliability standards?
AWS is building the future of the AI-Driven Lifecycle (AIDLC), accelerating every stage of the software delivery lifecycle, from specification through coding, testing, deployment, and operations.
From Kiro, an AI-powered development environment that helps developers go from idea to production-ready applications, to the AWS Dev Ops Agent — an always-available operations teammate that resolves and prevents incidents — our vision is to help customers move from coding assistants to end-to-end agentic engineering.
Rather than owning a single service, you will own In this role, you will define and execute the EMEA GTM strategy for AWS’ AI-native software development services.
Rather than owning a single service, you will own the cross-cutting AIDLC narrative spanning AI-assisted coding, agentic testing, automated deployment, and intelligent operations and translate it into use-case-led motions that land measurable business outcomes in enterprise customers.
You will enable the broader field on new launches and you will lead campaigns to drive awareness and adoption in EMEA markets.
You will be working directly with customers, forming trusted executive relationships and supporting customers as they move from initial experimentation to advanced AI-driven value creation.
You’ll collaborate with a broad group of people across AWS and act as the conduit between our customers and AWS product teams.
Most importantly, you’ll make a difference by applying your expertise to our customers’ most critical problems.
- Own the EMEA AIDLC GTM strategy end-to-end — drive enterprise adoption of Kiro, AWS Dev Ops Agent, and complementary AI-native development services through use-case-led motions.
Define the narrative, identify high-impact adoption patterns, and build the playbook for the field.
- Land AI-driven software transformation in enterprises— develop and execute account-level AIDLC strategies for priority customers, mapping engineering priorities to AI-accelerated SDLC use cases, building adoption roadmaps, and guiding customers from initial experimentation to production-scale AI-driven development.
- Enable the broader field on new launches — create packaged enablement (use-case frameworks, competitive positioning, demo scripts, talk tracks) that raises the bar across EMEA sales and SA teams on AIDLC services.
- Build and execute scaled GTM programmes— design motions including developer workshops, AI-native SDLC assessments, hackathons, customer roundtables, and regional campaigns that create demand and accelerate adoption.
- Operate at the executive and practitioner level — form trusted relationships with engineering leaders (VP Engineering, CTO, Head of Platform) on AI-driven development strategy while simultaneously engaging developers, Dev Ops engineers, and architects on adoption patterns and hands‑on tooling.
- Be the voice of EMEA customers to Product — synthesise regional customer requirements, competitive signals (Git Hub Copilot, Cursor, Windsurf, etc.), and adoption blockers into actionable feedback that shapes AWS AIDLC service roadmaps.
- Influence Marketing— co‑develop thought leadership, digital campaigns, and customer success stories that position AWS as the platform of choice for AI-native software development.
- Drive cross-functional alignment across Specialist, Field, Partner, and Marketing teams to ensure consistent messaging and coordinated execution on AIDLC priorities.
- About The Team
The WWSO Gen AI GTM Specialists team is responsible for defining and executing go-to-market strategies that drive adoption of AWS capabilities in the space of AI.
We work backwards from our customers to turn innovative ideas into the businesses of the future.
Our teams include deep domain experts in a variety of fields like technical business development, specialist solutions architecture, and product management.
- Basic Qualifications
- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience engaging and influencing C-level executives, both business and technical
- Hands‑on experience with the AI‑assisted software development landscape and how AI accelerates the SDLC (specification, coding, testing, deployment, operations)
- Experience designing and delivering technical presentations, workshops, or enablement sessions to both technical and non-technical audiences
- Experience working cross-functionally with product, marketing, sales, and engineering teams to bring technology products to market
- Preferred Qualifications
- Experience developing and executing GTM strategies, sales plays, or account plans that drove measurable business outcomes
- Comfort with data and metrics — experience defining KPIs, building dashboards, and using data to drive GTM decisions
- Experience leading an engineering or product team through adoption of AI-driven development methodologies — shifting from traditional SDLC to AI-centric workflows where AI initiates plans, seeks clarification, and implements with human oversight
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.
- Company
- AWS EMEA SARL (UK Branch)
- #J-18808-Ljbffr
Sr. AI-DLC GTM Specialist, WWSO employer: Amazon Web Services (AWS)
At AWS Professional Services, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our team is dedicated to professional growth, offering mentorship and opportunities to work on cutting-edge AI projects in a flexible environment that values work-life harmony. Join us in London to collaborate with diverse experts and make a meaningful impact in the world of cloud and AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. AI-DLC GTM Specialist, WWSO
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Amazon Web Services (AWS) or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Amazon Web Services (AWS).
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Sr. AI-DLC GTM Specialist, WWSO
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Amazon Web Services (AWS).
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Amazon Web Services (AWS) and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Amazon Web Services (AWS)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Amazon Web Services (AWS) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
