Laura Beaton

About Laura Beaton

I am a leader who loves taking on big challenges, working with AI-forward teams, and innovating for the benefit of humans. I avoid political theatre and focus on collaborating to deliver results. I am grateful to have a career that includes the delivery of work across Technology, Robotics, and Finance that has increased the velocity of change, measured its impact, and resulted in a rich pool of wins for my teams, leaders, and companies. I have led large, globally distributed teams as well as smaller focused teams - both have left me grateful for the friendships, learnings, and shared successes along the way.

Experience

1. Sr Manager Amazon Software Builder Experience

   Amazon Web Services (AWS)

   Nov 2022 — Present · Seattle, WA, US

   Bootstrapped and executed Amazon’s enterprise strategy for AI-enabled builder experiencessupporting machine learning, generative AI, and agentic tooling across all business units- Developed and executed a multi-year AI enablement strategy supporting scientists,engineers, and product teams across all Amazon business units- Advocated for the builder and scientific/ML community, identifying critical gaps in orchestrationtooling that constrained experimentation velocity and research productivity- Drove a three-year evolution of AI builder workflows, enabling faster model development,evaluation, experimentation, and production deployment- Built evidence-driven evaluation frameworks to assess AI tools and models forefficacy, safety, and operational readiness prior to enterprise recommendation/adoption- Built structured experimentation frameworks, incremental improvement models, andcontinuous feedback loops that accelerated responsible adoption- Drove the establishment of a trusted and Amazon-wide recommended agentic ecosystem, integrating AI-powered tools with existing science and software building platforms- Assumed ownership of internal launch of AWS Agentic AI tooling (Kiro, DevOps Agent) to builders- Assumed enterprise support ownership for AI-powered and legacy SDLC tooling,introducing AI-driven resolution workflows to improve reliability and operationalefficiency- Drove AI tooling and trusted workflow adoption by Amazon builders from 0% to >80% in 18 months- Authored the feasibility, requirements, and architecture for a new AWS Bedrock service and built a working prototype in partnership with principal engineers and product leaders.

Education

• University of Missouri-Saint Louis

  Computer Science

  1991 — 1995

Skills

• IT Strategy
• Cross-Functional Team Leadership
• Product Rationalization
• Collaborative Problem Solving
• Technology Architecture
• Change Management
• Program Management
• Rad
• Data Center
• Release Management
• Software Development Tools
• Testing Tools
• Technology Roadmapping
• Cost Reduction Strategies
• Product Planning
• Systems Development Management
• Resource Management
• Software Development
• Software Development Life Cycle (Sdlc)
• Rup
• Training Delivery
• Requirements Gathering
• Large Budget Management
• Integration
• Testing
• Written & Oral Presentation Skills
• Ibm Rational Tools
• Requirements Analysis
• Cloud Computing
• Systems Engineering
• Product Management
• Vendor Management
• IT Relationship Management
• Sdlc
• Build Strong Teams
• Enterprise Architecture
• Pmo
• Pmp
• Project Management
• Microsoft Technologies