Jobs / United States / Gusto INC

Gusto INC

AI Operations Program Manager, Benefits

Denver, CO - Hybrid Posted today

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Skills this job asks for

PayrollLeadershipTriage

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Gusto INC paid sponsored hires in similar roles1 certified filing for “Partner Success Manager” (Advertising and Promotions Managers) in CO: $166k–$166k, median $166k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Gusto INC paid sponsored hires in similar roles
1 certified filing for “Partner Success Manager” (Advertising and Promotions Managers) in CO: $166k–$166k, median $166k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: We’re hiring an Operations Lead, internally named Labs Lead, to build and run Benefits Labs, the system that governs how Gusto’s Benefits organization tests, validates, and scales operational change. You will own the full Labs lifecycle, including intake, pilot design, execution governance, measurement, and recommendations to leadership. This is not a traditional program or operations role. Your responsibility is to build and operate the system that runs Labs. This role is AI-native. You will design and run the agents, automations, and workflows that power how work is triaged, how pilots are executed, and how evidence is generated and synthesized. The goal is to create a system that can run many pilots in parallel with high quality and minimal manual intervention. Your impact is measured by leverage: how much work the system can handle without you, how quickly the organization can test and scale changes, and how clearly leadership can make decisions based on evidence. Benefits Labs sits within Benefits Business Operations today. You will be the founding operator, reporting to the Head of Benefits Business Operations, and will directly shape how this function evolves, including its future scope, structure, and investment. About the Team: Benefits Business Operations is responsible for how Gusto’s Benefits business improves and scales. The team operates across three domains: Automation, Carrier, and Quality, each focused on improving different parts of the operational system. Labs sits across these domains as the governance layer for operational change. It ensures ideas are tested rigorously, measured consistently, and scaled intentionally. Labs partners closely with org leadership, product, engineering, and transformation teams to turn strategy into execution and build systems that improve how the business operates. Here’s what you’ll do day-to-day: You will operate and continuously improve the system that governs operational change across Benefits. • Own intake and triage: Run the AI-powered intake system that classifies, routes, and prepares incoming work. Determine the right path for each request and improve the system over time. • Run pilot governance: Ensure every pilot follows a clear structure with defined success metrics, checkpoints, and outputs. Use AI-driven workflows to manage execution and produce recommendations to scale, iterate, or stop. • Raise design quality: Pressure-test hypotheses, refine success criteria, and hold Pilot Leads accountable to standards. Improve the quality of work across the system without taking ownership away from teams. • Build and improve the system: Extend the existing agent and automation architecture across the Labs lifecycle, including intake routing, workflow execution, evidence synthesis, and readout generation. Increase speed, scope, and reliability ov

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