Labs Lead: AI-Driven Benefits Ops Architect

Gusto

Denver, Northern (CO, KY)

Hybrid

USD 99,000 - 116,000

Full time

14 days+
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Job summary

Gusto is seeking an Operations Lead, internally called Labs Lead, to design and run Benefits Labs—Gusto’s system for testing, validating, and scaling operational change. You will own the full Labs lifecycle, from intake through leadership-ready recommendations, with AI-driven workflows and evidence synthesis at the core of decision-making.

This AI-native role requires ownership of outcomes, cross-functional leadership, and the ability to raise design quality while enabling rapid, scalable pilots

Qualifications

  • 4+ years in operations, program management, or business ops in SaaS/tech.
  • Experience designing and deploying AI agents, automations, or workflows.

Responsibilities

  • Own intake and triage of AI-powered requests.
  • Lead pilot governance with metrics and clear success criteria.
  • Raise design quality and ensure standards remain high.
  • Build and extend the Labs lifecycle architecture and automation.
  • Identify systemic inefficiencies and convert to scalable AI workflows.
  • Develop analytical narratives to guide leadership decisions.
  • Coordinate across product, engineering, operations, and business partners.
  • Lead discussions on complex topics and drive next steps.
  • Produce leadership-ready readouts, post-mortems, and recommendations.

Skills

AI-native builder
Systems thinker
Data fluency
Cross-functional leadership
Ambiguity tolerance
Ownership of outcomes
Coach/mentor

Job description

Gusto is seeking an Operations Lead, internally called Labs Lead, to design and run Benefits Labs—Gusto’s system for testing, validating, and scaling operational change. You will own the full Labs lifecycle, from intake through leadership-ready recommendations, with AI-driven workflows and evidence synthesis at the core of decision-making.

This AI-native role requires ownership of outcomes, cross-functional leadership, and the ability to raise design quality while enabling rapid, scalable pilots

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