Summary
Jason Creighton is a Senior Principal Product Manager specializing in generative AI who turns frontier research into production-grade enterprise features, with 11+ years driving complex programs across Oracle, Amazon Robotics, Microsoft and startups. He pairs deep technical fluency in ML and cloud platforms with operational rigor, having led 250+ engineer programs and managed budgets exceeding $400M to deliver measurable impact—examples include a 42% drop in support tickets via LLM/RAG tooling and scaling an IoT fleet from 30K to over 4M devices. At Oracle he architects NL2SQL and code-generation capabilities, building end-to-end quality loops that align research evaluation with KPIs like task success, latency and cost-to-serve. His background spans robotics automation, collaborative robots that cut cycle time by 68%, and founding an ERP company that was acquired—evidence of both hands-on engineering roots and product leadership. Comfortable partnering directly with research scientists and engineers, he is notable for translating experimental models into reproducible release criteria and operational dashboards that drive adoption. Based in Framingham, MA, he combines a pragmatic entrepreneurial streak with Stanford machine-learning coursework to bridge science and scalable operations.
11 years of coding experience
30 years of employment as a software developer
Computer Studies, Computer Studies at De Montfort University
Machine learning, Machine learning at Stanford University