Salary: £60,000 - 110,000 per year Requirements: Bachelors degree or above in computer science, computer engineering, or a related field Experience in a customer-facing role engaging with customer executives, technologists, or partners to solve business problems with advanced technologies 7 years of design, implementation, or consulting experience with distributed applications or developer tooling 5 years of technical experience in at least one of the following: AI/ML, LLMs, generative AI, or modern SDLC automation such as CI/CD, DevSecOps, or infrastructure as code Startup background and experience at a VC- or PE-backed firm in a technical executive capacity Cloud technology certification preferred Masters degree or above in engineering, management, technology, computer science, mathematics, or an equivalent field preferred Familiarity with open-source software used by startups and working knowledge of startup software development tools and methodologies preferred Hands-on experience with AI coding assistants and agentic developer tools preferred Experience designing or implementing CI/CD pipelines, DevSecOps workflows, or SDLC automation at scale preferred Familiarity with agentic AI architectures, multi-agent orchestration, tool-use patterns, MCP, and autonomous agent frameworks preferred Strong data-based storytelling skills and comfort speaking with startup executives, developer communities, and industry audiences preferred Ability to adapt quickly to new technologies in a fast-moving competitive landscape preferred Proficiency with design, deployment, and evaluation of LLM-powered agents and orchestration approaches preferred Responsibilities: Engage with startup customers from CXO and VP engineering levels through developers to drive adoption of our AWS Agentic Engineering offerings and grow pipeline, lighthouse customers, and revenue Become a trusted advisor through technical thought leadership in AI-powered software development workflows and help embed AI capabilities across the SDLC Design and execute go-to-market programs for the developer community, including meet-ups, hackathons, university seeding, and ISV partnerships to drive adoption Develop programs that leverage AWS Field Solution Architect teams, agentic coding subject-matter experts, technology partners, and other channels to scale adoption Collaborate with AWS service and engineering teams to surface customer feedback, influence roadmap priorities, and co-create solutions for real startup problems Create enablement materials, demo assets, open-source samples, and workshop content to help the broader SA population position our Agentic Engineering capabilities Tell the value story of AI-powered development through demos, reference architectures, and real customer outcomes Work with promising startups, including lighthouse customers building with agentic tools at scale Scale technical knowledge through products, programs, and field enablement content while growing our community of subject matter experts Gather startup feedback to inform product roadmaps and act as the voice of startups to our service teams Technologies: AI AWS Architect CI/CD Cloud DevSecOps Support LLM Marketing Claude Code Copilot Cursor DevOps GitHub Security Windsurf More: We are part of AWS Sales, Marketing, and Global Services and our WWSO Startup team helps startups scale quickly and cost-effectively on AWS by recommending the right technologies and helping them get up and running fast. We focus on driving adoption of our newest and most advantageous technologies, with this role centered on Kiro and our other Agentic Engineering offerings. We work closely across AWS as OneTeam, support the broader technical community, and value diversity, inclusion, and customer obsession. last updated 24 week of 2026