Sr. AI-DLC GTM Specialist, WWSO (AWS)

Amazon Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Amazon is seeking a senior GTM-focused leader to own the cross-cutting AI-Driven Lifecycle (AIDLC) narrative across the EMEA region. You will drive adoption of Kiro, AWS DevOps Agent, and related AI-native services through use-case-led motions and executive engagement.

You will craft account-level strategies, develop adoption roadmaps, and enable the field with templates, demos, and polished talking points while collaborating with product, marketing, and sales teams to accelerate value delivery.

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.

Responsibilities

• 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.
• 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.
• 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 on AI-driven development strategy while engaging developers, DevOps engineers, and architects on adoption patterns and hands-on tooling.
• Be the voice of EMEA customers to Product — synthesise regional customer requirements, competitive signals, 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.

Skills

Go-To-Market

Business Development

Sales

C-level engagement

AI/SDLC

Public speaking

Job description

Job ID: 10523814 | AWS EMEA SARL (UK Branch)

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

• - 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.
• - 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, DevOps engineers, and architects on adoption patterns and hands‑on tooling.
• - 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.
• - 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 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

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

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