Staff Product Designer, Benefits
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.
What this role actually needs.
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. Responsibilities: - Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows. - Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable. - Design AI-assisted decision moments that help customers choose and act with confidence. - Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans. - Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework. - Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation. Requirements: - Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows. - Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable. - Design AI-assisted decision moments that help customers choose and act with confidence. - Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans. - Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework. - Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation. Benefits: - Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows. - Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable. - Design AI-assisted decision moments that help customers choose and act with confidence. - Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans. - Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework. - Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation. Company context: Gusto builds payroll and HR software with broad product, platform, security, and data hiring across North America.
Day-to-day expectations
Gusto lists these responsibilities for the Staff Product Designer, Benefits role.
- Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows.
- Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable.
- Design AI-assisted decision moments that help customers choose and act with confidence.
- Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans.
- Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework.
- Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows.
- Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable.
- Design AI-assisted decision moments that help customers choose and act with confidence.
- Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans.
- Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework.
- Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation.
Why people would want this job
Gusto published these compensation, benefits, or working-context details with the role.
- Lead 0→1 discovery and design for a new Benefits product offering—from problem framing to MVP definition—grounded in real employer + employee workflows.
- Design end-to-end service experiences across employer, employee, and internal ops workflows—identifying where AI can reduce complexity while keeping decisions clear and controllable.
- Design AI-assisted decision moments that help customers choose and act with confidence.
- Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans.
- Make data legible and operational: shape the information model and UX so humans and AI can collaborate—clean inputs, clear outputs, and structured handoffs that reduce errors and rework.
- Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation.
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Source: job-boards.greenhouse.io · Source ID: 7676166 · Confidence: 91/100 · Last checked: May 7, 2026
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