Sterling Blood
@sterlingblood
AI-native data executive building scalable data platforms and high-leverage teams.
What I'm looking for
I am an AI-native data executive with a decade of experience designing and delivering scalable data platforms, ML systems, and high-leverage teams from 0→1 to enterprise scale. I combine strategic leadership with hands-on technical execution to create measurable business impact and operational efficiency.
At Jasper AI I was the first data hire, architecting a 0→1 data platform that supported 1.5M users and 715M+ content generations, reduced cloud spend by $500K+ annually, and delivered real-time pipelines and automated revenue recognition for board-level reporting.
I have led data and ML organizations through hypergrowth, productionized ML workflows and event-driven underwriting services, and founded a consultancy delivering AI-driven platforms and rapid production launches. I prioritize pragmatic MLOps, cost-efficient architecture, and AI-augmented engineering productivity.
Experience
Work history, roles, and key accomplishments
Cofounder & Chief Consultant
Crimson Edge
Jan 2025 - Present (1 year 1 month)
Founded consultancy delivering AI-driven data platforms and ML solutions for startups, delivering rapid data platform builds and Terraform-based infrastructure and CI/CD for initial production launches.
Director of Data Engineering
Jasper AI
Jun 2022 - Present (3 years 8 months)
First data hire who built Jasper's 0→1 data platform powering analytics, AI, and GTM across 1.5M users and 715M+ content generations; reduced cloud spend by $500K+ annually and delivered real-time personalization pipelines.
Senior Manager, Data & ML Engineering
Divvy
Sep 2019 - Jun 2022 (2 years 9 months)
Built and scaled Divvy's data and ML engineering org through hypergrowth, productionized ML workflows with SageMaker and MLflow, and delivered real-time underwriting services for credit decisioning.
Machine Learning Engineering Manager
Progressive Leasing
Jul 2016 - Sep 2019 (3 years 2 months)
Led ML engineering efforts to productionize models that generated $20M+ annual lift via credit limit optimization and integrated scikit-learn models into production underwriting systems.
Education
Degrees, certifications, and relevant coursework
University of Utah
Master of Science, Statistics
Grade: Magna Cum Laude
Completed a Master of Science in Statistics with a mathematical emphasis; thesis focused on imbalanced classification problems and graduated Magna Cum Laude.
Utah Valley University
Bachelor of Science, Mathematics
Grade: Cum Laude
Earned a Bachelor of Science in Mathematics and graduated Cum Laude.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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