# Founding Strategic Projects Lead, AI Training at UserTesting

- Company: UserTesting
- What the company does: Improve digital, product, and customer experience decisions with real human insights from UserTesting’s platform. Backed by Accel and Insight.
- Company website: http://www.usertesting.com
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - US
- Work setup: Remote
- Posted: 2026-08-29
- Apply by: 2026-10-13
- Apply: https://usertesting.wd12.myworkdayjobs.com/en-US/UserTesting/job/Remote---US/Founding-Strategic-Projects-Lead--AI-Training_R-101240
- Page: https://www.1752.vc/careers/jobs/usertesting-founding-strategic-projects-lead-ai-training/

## About the role

At UserTesting, we’re the leader in human insight, helping organizations build better products and experiences by connecting them with real human perspectives. As companies increasingly build and train AI systems, our technology, participant network, and expert services uniquely position us to support this rapidly evolving space.

## What they're looking for

- 4+ years of experience leading complex, cross-functional projects in operations, strategic programs, consulting, AI training, marketplaces, expert networks, talent platforms, data operations, or similar fast-paced environments
- Proven experience managing projects involving large populations of contractors, contributors, participants, experts, or other external workforces. Experience in AI training or human data organizations is strongly preferred
- Strong project management and analytical skills, with the ability to manage multiple priorities, model project performance, monitor operational metrics, and understand project economics
- Demonstrated ownership and problem-solving skills, with the ability to thrive in ambiguity, build processes from the ground up, and balance detailed execution with strategic thinking
- Excellent written and verbal communication skills, with experience partnering directly with customers and collaborating across cross-functional teams
- Familiarity with AI training concepts such as annotation, evaluations, quality assurance, reinforcement learning environments, expert data, or post-training workflows is preferred