Tyler Folkman — CEO

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.

Stackforce AI infers this person is a SaaS and AI expert with extensive leadership experience.

Location: Lehi, Utah, United States

Experience: 13 yrs 11 mos

Career Highlights

Led AI transformation at JobNimbus.
Built AI products for 16M+ YouTube creators.
Recognized as LinkedIn Top Voice in AI.

Work Experience

JobNimbus

Chief AI Officer (6 mos)

TubeBuddy

General Manager and CTO (1 yr 5 mos)

Silicon Slopes

Chair of the AI Chapter (2 yrs 3 mos)

University of Utah - David Eccles School of Business

Member of the Board of Advisors (3 yrs)

BENlabs

Chief Technology Product and AI Officer (3 yrs 9 mos)

Senior Vice President - Artificial Intelligence & Product (11 mos)

Vice President - Artificial Intelligence (1 yr 9 mos)

Towards Data Science

Writer and Editor (4 yrs 9 mos)

Brigham Young University

Adjunct Professor - Applied Machine Learning (1 yr 3 mos)

Ancestry

Senior Manager of Data Science (1 yr 6 mos)

Senior Data Scientist (1 yr 3 mos)

The University of Texas at Austin

Teaching Assistant - Intro. to Data Science (4 mos)

Teaching Assistant - Advanced Data Mining (4 mos)

Graduate Research Assistant - IDEAL Lab (4 mos)

Amazon

Software Engineer Internship (3 mos)

Cognitive Scale

Machine Learning Engineer (Part-time) (3 mos)

Charles River Associates

Research Associate (2 yrs 11 mos)

Beneficial Financial Group

Fixed Income Analyst Intern (3 mos)

Education

Master's degree at The University of Texas at Austin

Bootcamp at University of California, Berkeley

Self-Driving Car Engineer Nanodegree at Udacity

Bachelor of Arts (BA) at Brigham Young University

Tyler Folkman

CEO

Lehi, Utah, United States13 yrs 11 mos experience

Key Highlights

Led AI transformation at JobNimbus.
Built AI products for 16M+ YouTube creators.
Recognized as LinkedIn Top Voice in AI.

Stackforce AI infers this person is a SaaS and AI expert with extensive leadership experience.

Contact

Skills

Other Skills

PythonData MiningMachine LearningRData AnalysisData ScienceSparkD3.jsMySQLPostgreSQLSAS programmingEconometricsC++StataVBA

About

Experience

13 yrs 11 mos

Total Experience

2 yrs

Average Tenure

6 mos

Current Experience

Jobnimbus

Chief AI Officer

Oct 2025 – Present · 6 mos · Lehi, Utah, United States · On-site

Tubebuddy

General Manager and CTO

May 2024 – Oct 2025 · 1 yr 5 mos · Provo, Utah, United States · Hybrid

Accountable for the entire TubeBuddy business line of BENlabs. We have a world class team building SaaS to help brands and creators succeed on YouTube. At the same time, CTO of the overall BENlabs company.

Silicon slopes

Chair of the AI Chapter

Jul 2023 – Oct 2025 · 2 yrs 3 mos · Lehi, Utah, United States · Hybrid

The Chair of the AI Chapter of Silicon Slopes.

University of utah - david eccles school of business

Member of the Board of Advisors

Apr 2023 – Present · 3 yrs · Hybrid

A member of the board of advisors for the MS program in Business Analytics at the University of Utah's business school.

Benlabs

3 roles

Chief Technology Product and AI Officer

Promoted

Jan 2022 – Oct 2025 · 3 yrs 9 mos

Accountable for an amazing team of data science, engineering, product, UX, AI research, and advanced analytics.

Senior Vice President - Artificial Intelligence & Product

Jan 2021 – Dec 2021 · 11 mos

Vice President - Artificial Intelligence

Mar 2019 – Dec 2020 · 1 yr 9 mos

Towards data science

Writer and Editor

Oct 2019 – Jul 2024 · 4 yrs 9 mos

Brigham young university

Adjunct Professor - Applied Machine Learning

Jan 2018 – Apr 2019 · 1 yr 3 mos · Provo, Utah Area

Faculty profile: https://economics.byu.edu/Pages/Faculty%20Pages/Tyler-Folkman.aspx
I am teaching the first ever applied machine learning class in the economics department at BYU. The class is open-source on GitHub:
https://github.com/tfolkman/byu_econ_applied_machine_learning

Ancestry

2 roles

Senior Manager of Data Science

Aug 2017 – Feb 2019 · 1 yr 6 mos

Lead Ancestry's personalization and recommendation data science team. We focus on maximizing the value of Ancestry's data for our users by extracting more content, linking billions of records, and providing personalized recommendations.
The data science problems we tackle include natural language processing, computer vision, record linking, and ranking.
Our work in the news:
https://www.wsj.com/articles/ancestry-taps-ai-to-sift-through-millions-of-obituaries-11573554603

Senior Data Scientist

May 2016 – Aug 2017 · 1 yr 3 mos

Developed large-scale machine learning models for entity recognition. Patented and published.
Wrote and deployed production code that leverages machine learning in real-time.
News coverage:
https://goo.gl/k9uXJT
https://goo.gl/4BBo2J
https://goo.gl/XFsrAL

The university of texas at austin

3 roles

Teaching Assistant - Intro. to Data Science

Jan 2016 – May 2016 · 4 mos · Austin, Texas Area

Developed homework in Jupyter Notebooks on topics ranging from data cleaning and feature extraction to machine learning models.
Assisted students with hard to grasp technical concepts and how to approach novel datasets to extract insights.
Taught classes on building interactive visualizations using JavaScript.

Teaching Assistant - Advanced Data Mining

Aug 2015 – Dec 2015 · 4 mos · Austin, Texas Area

Worked with the OHDSI group to further develop Achilles: a visualization platform for health data
Created, graded, and assisted students with homework projects involving prediction and inference of healthcare data (MIMIC and DE-SynPuf)
Taught classes on interactive visualization using JavaScript (D3.js)

Graduate Research Assistant - IDEAL Lab

Jan 2015 – May 2015 · 4 mos · Austin, Texas Area

Researched ways to apply data mining to the healthcare industry.

Amazon

Software Engineer Internship

May 2015 – Aug 2015 · 3 mos · Greater Seattle Area

• Built a dashboard to display real-time ad impressions data and developed ad prediction models using Spark.

Cognitive scale

Machine Learning Engineer (Part-time)

Feb 2015 – May 2015 · 3 mos · Austin, Texas Area

• Built machine learning agents as part of a cognitive cloud platform.

Charles river associates

Research Associate

Jun 2011 – May 2014 · 2 yrs 11 mos · Greater Los Angeles Area

Provided statistical research support to leading economists to value damages in multimillion dollar litigation cases; recognized as being in top 10% of all research associates.