Amazon
Sr. AI-DLC GTM Specialist, WWSO
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Job 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?
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 DevOps 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 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.
Key Job Responsibilities
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Own the EMEA AIDLC GTM strategy end-to-end — drive enterprise adoption of Kiro, AWS DevOps 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.
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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.
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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.
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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.
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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, DevOps engineers, and architects on adoption patterns and hands-on tooling.
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Be the voice of EMEA customers to Product — synthesise regional customer requirements, competitive signals (GitHub Copilot, Cursor, Windsurf, etc.), and adoption blockers into actionable feedback that shapes AWS AIDLC service roadmaps.
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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.
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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 GenAI 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
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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 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 how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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