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Chief AI Officer at JobNimbus | Building AI that solves real problems | 10+ years scaling AI products
I build AI that solves real problems at scale. Currently Chief AI Officer at JobNimbus, where I'm leading our AI transformation across product, engineering, and operations. JobNimbus is the leading SaaS platform for contractors (think roofing, siding, construction), and we're using AI to save them hours every single day. Before this, I spent 6 years at BENlabs (TubeBuddy) as GM & CTO, building AI products for 16M+ YouTube creators. Led teams across engineering, data science, and AI. Scaled the business, managed full P&L, and learned what it takes to build AI that people actually use. What I Do: • Scale AI products from concept to production • Build and lead high-performing engineering and AI teams • Turn messy real-world problems into working solutions • Share what I learn about AI, leadership, and building teams Experience: • Chief AI Officer at JobNimbus • 6 years at BENlabs/TubeBuddy in progressive leadership roles • Led engineering and data science teams at Ancestry • Taught applied ML at BYU • Multiple patents in tech innovation Recognition: • LinkedIn Top Voice in AI and technology leadership • BusinessQ Magazine 40 Under 40 (2024) • AI Utah 100 (2024) • Chair of AI Chapter at Silicon Slopes • Board Advisor at University of Utah MS Business Analytics I write about AI that actually works (not the hype), building teams, and leadership lessons learned the hard way. 16,000+ people follow along. Let's connect if you're: • Building AI products that solve real problems • Scaling technical teams • Working in SaaS, or AI-enabled software Or if you just want to talk about what's actually working in AI right now.
University of California, Berkeley
Bootcamp, Deep Reinforcement Learning
January 1, 2017 – January 1, 2017
Udacity
Self-Driving Car Engineer Nanodegree, Computer Science
January 1, 2016 – January 1, 2017
The University of Texas at Austin
Master's degree, Computer Science
January 1, 2014 – January 1, 2016
Brigham Young University
Bachelor of Arts (BA), Economics; Minor in Mathematics
January 1, 2005 – January 1, 2011
JobNimbus
Chief AI Officer
October 1, 2025 – Present
Lehi, Utah, United States · On-site
TubeBuddy
General Manager and CTO
May 1, 2024 – October 1, 2025
Provo, Utah, United States · Hybrid
Silicon Slopes
Chair of the AI Chapter
July 1, 2023 – October 1, 2025
Lehi, Utah, United States · Hybrid
University of Utah - David Eccles School of Business
Member of the Board of Advisors
April 1, 2023 – Present
Hybrid
BENlabs
Chief Technology Product and AI Officer
January 1, 2022 – October 1, 2025
BENlabs
Senior Vice President - Artificial Intelligence & Product
January 1, 2021 – December 1, 2021
Towards Data Science
Writer and Editor
October 1, 2019 – July 1, 2024
BENlabs
Vice President - Artificial Intelligence
March 1, 2019 – December 1, 2020
Brigham Young University
Adjunct Professor - Applied Machine Learning
January 1, 2018 – April 1, 2019
Provo, Utah Area
Ancestry
Senior Manager of Data Science
August 1, 2017 – February 1, 2019
Ancestry
Senior Data Scientist
May 1, 2016 – August 1, 2017
The University of Texas at Austin
Teaching Assistant - Intro. to Data Science
January 1, 2016 – May 1, 2016
Austin, Texas Metropolitan Area
The University of Texas at Austin
Teaching Assistant - Advanced Data Mining
August 1, 2015 – December 1, 2015
Austin, Texas Metropolitan Area
Amazon
Software Engineer Internship
May 1, 2015 – August 1, 2015
Greater Seattle Area
Cognitive Scale
Machine Learning Engineer (Part-time)
February 1, 2015 – May 1, 2015
Austin, Texas Metropolitan Area
The University of Texas at Austin
Graduate Research Assistant - IDEAL Lab
January 1, 2015 – May 1, 2015
Austin, Texas Metropolitan Area
Charles River Associates
Research Associate
June 1, 2011 – May 1, 2014
Los Angeles Metropolitan Area
Beneficial Financial Group
Fixed Income Analyst Intern
September 1, 2010 – December 1, 2010
Salt Lake City Metropolitan Area
Creator World 2024 - Singapore
May 1, 2024 – May 1, 2024
Participated in a panel titled: Artificial Creativity - A Discussion Today About Tomorrow’s Music Industry
Speaker at Applied Intelligence Live - Austin TX
September 1, 2023 – September 1, 2023
Spoke on Generative AI and Cyber Security
Speaker at AI Conference
June 1, 2023 – June 1, 2023
Presentation title: Generative AI: The Game-Changer in Entertainment and the Roadmap to Staying Ahead
Salt Lake City Data Science Meet Up Speaker
March 1, 2018 – March 1, 2018
Gave a talk on behavioral cloning for self-driving cars.
Deep Learning Meetup Speaker
April 1, 2017 – April 1, 2017
Gave talk on behavior cloning for self-driving cars.
Keynote Speaker at Leverage Big Data + Enterprise HPC
March 1, 2017 – March 1, 2017
Invited to give a keynote speech on the use of machine learning at Ancestry.
Cultural Fit Analysis
The candidate's diverse experience across industry (tech, finance, healthcare research), academia (teaching, research), and public speaking/advisory roles indicates a broad perspective and adaptability. Their involvement in various AI and data science communities (Silicon Slopes AI Chapter, Towards Data Science writer) suggests a proactive and collaborative approach, aligning with a culture that values continuous learning and knowledge sharing. The transition from hands-on data science to strategic AI leadership roles demonstrates ambition and a drive for impact. While the target role is 'Data Analyst', the candidate's profile is significantly more senior and strategic, potentially indicating a mismatch in day-to-day responsibilities but a strong fit for a leadership position within a data analytics function.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Chief AI Officer, CTO, General Manager) and advisory positions (Board of Advisors, Chair of AI Chapter) suggests strong leadership, strategic thinking, and stakeholder management skills. Their teaching and public speaking roles indicate excellent communication and presentation abilities. The progression through senior data science and AI roles at companies like Ancestry and BENlabs demonstrates a capacity for driving innovation and managing complex technical teams. The early experience in economic consulting and financial analysis also points to strong analytical and problem-solving skills, which are highly relevant for a Data Analyst role, albeit at a more strategic and leadership level than typical entry-level analyst positions.