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About This RoleAI processing…
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.
Key Responsibilities
- 1Own 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.
- 2Run 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.
- 3Raise 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.
- 4Build 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 over time.
- 5Solve systemic problems: Identify inefficiencies in how operational change moves through the organization and convert repeatable problems into scalable, AI-powered workflows.
- 6Drive decision-making: Develop analytical approaches and produce clear, evidence-based narratives that align stakeholders across product and CX and influence leadership decisions.
- 7Lead cross-functional work: Own coordination across product, engineering, operations, enablement, and business partners. Manage complexity, align stakeholders, and deliver measurable outcomes.
- 8Create clarity in ambiguity: Lead discussions on complex operational and product topics, helping teams converge on decisions and next steps.
- 9Produce leadership-ready outputs: Deliver structured readouts, post-mortems, and recommendations using AI to generate and validate evidence efficiently.
- 10Shape the future of Labs: Use what you build and learn to inform the long-term operating model, team structure, and investment strategy for Benefits Labs.
- 11Raise the bar for others: Coach Pilot Leads and BizOps partners on AI-powered ways of working and hold a high standard for execution quality.
Requirements
- Proven ownership: You’ve owned outcomes across complex, cross-functional work and consistently delivered results end-to-end.
- AI-native builder (core requirement): You don’t just use AI tools. You build with them. You’ve designed and deployed AI agents, automations, or workflows that execute multi-step work, and you’ve measured the leverage created. This is required for success in this role.
- Systems thinker: You identify root causes at the process level and build solutions that scale. You improve how teams operate, not just your own output.
- Strong data fluency: You can structure problems, define success metrics, and turn data into clear, decision-driving narratives.
- Operator + coach: You raise the quality of work around you through direct feedback, clear standards, and accountability.
- Cross-functional leader: You’ve led initiatives across product, engineering, and operations and can drive alignment without direct authority.
- Comfort with ambiguity: You create structure where none exists and move work forward without perfect information.
Perks & Benefits
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