Were looking for developer experience engineers who want to shape this transformation by ensuring developers are successful with Kiro by working with developers in various social channels (eg, GitHub, Discord, Slack, Reddit) to triage and troubleshoot issues. You will also be engaging with enterprise customers as a specialist for Kiro and assisting with issues, product roadmap, and executive briefings to drive adoption.
Your impact will be immediate and visible. You will partner with Product, Engineering, Product Marketing, and Documentation teams to improve activation and retention while connecting with developers on their feedback based on their usage of Kiro.
From day one, youll have opportunities to lead - whether thats owning a critical feedback channel, defining technical direction for a new capability or process, or shaping how the team operates. Youll work across distributed systems, engineering, and product teams. The team is small enough that your decisions matter and large enough that youll always have someone to learn from.
This is your chance to shape the direction of the agent that builds the future.
Key job responsibilities
- Own customer success strategy for Kiro - unblock developers on Kiro social and internal channels to drive adoption
- Provide specialist assistance for strategic and enterprise customers and partner with field teams to drive successful engagements
- Define and prioritize features that address key customer pain points by partnering closely with product teams
- Partner directly with engineering teams and leadership to surface key customer trends in reviews and resolving high priority issues
- Build tools and agents to automate workflows used by internal teams and support
- Support new launches by thorough testing and QA of product features to surface high priority bugs before launch
BASIC QUALIFICATIONS
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience in sales, technical pre-sales, product development, or customer facing resources
- Experience with agentic AI patterns - multi-agent orchestration, tool use, function calling, chain-of-thought reasoning, and autonomous agent workflows
- Strong conceptual understanding of machine learning fundamentals and modern Generative AI techniques
PREFERRED QUALIFICATIONS
- Experience working with end user or developer communities
- Experience with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication
- Demonstrated experience with AI/ML concepts including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and model evaluation
- Contributions to open-source projects in agent frameworks, orchestration tools, or developer platforms
- Experience with enterprise AI governance frameworks, including security, auditability, and responsible AI requirements for production software development.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
