Gusto
Fintech · Payroll
- HQ
- San Francisco, US
- Founded
- 2011
- Website
- gusto.com
Currently tracking 13 active AI roles, up 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $99k–$321k (avg $212k).
Gusto currently has 20 active AI-related job listings. The majority of these roles, 85%, are focused on agents, with the remaining 15% in application. The top hiring functions are Engineering, with 11 roles, and Product, with 9 roles. Hiring is primarily concentrated in the United States, with one role in Canada. Frequently mentioned tech tags include agent orchestration, LLM observability, and guardrails, suggesting a focus on managing and integrating AI agents.
Gusto currently has 19 active AI-related roles in our index. The most common open titles are: Enterprise Application AI Architect, Head of Design, Unified Service Platform, Head of ML/AI Engineering, Legal & Compliance Tech IT Product Manager, Platform Operations Analyst. Most positions are in Engineering and Product.
Gusto's active AI hiring is concentrated in: agents (79%), application (21%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Gusto is hiring AI talent in: United States (18 roles), Canada (2 roles).
Job postings at Gusto most frequently mention: Machine Learning, Production ML Systems, Content Generation, Product Management, Product Impact.
In the past 30 days, Gusto has posted 10 new AI-related roles. That is a +67% change versus the prior 30 days (6 → 10).
| Title | Stage | AI score |
|---|---|---|
| Head of ML/AI Engineering Gusto is seeking a strategic Head of AI/MLE to lead their AI/ML organization, define the company's AI/ML strategy, and shape the development and deployment of AI-native products and systems. This role involves unifying classical ML and GenAI, maturing the ML platform, and ensuring production systems meet high standards for reliability, safety, and maintainability. The leader will manage teams including ML Engineering, ML Platform, Risk Data Science, and AI Scientists, and partner with senior stakeholders to drive customer and business impact through AI. | ShipServe | 8 |