HR Generalist – AI-Driven Ops & Compliance

Jerry; Palo Alto (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Jerry.ai is seeking an HR Operations lead who will own multi-state compliance, policy drafting, and payroll/benefits questions. You’ll work hands-on in a small, fast-paced team and drive high-impact decisions beyond what's written in a handbook.

You’ll shape how AI fits into HR ops, streamline processes, and eventually take ownership of day-to-day HR operations. The role is based in Palo Alto with some remote flexibility and requires a hands-on, in-house mindset.

Qualifications

• Bachelor’s degree in any discipline.
• At least 2 years of real, hands-on HR generalist experience.
• Genuine in-house, multi-state compliance experience
• Comfortable in a small, high-intensity team where you touch payroll, benefits, and compliance yourself
• Excited to build with AI.

Responsibilities

• Multi-state compliance: tracking state-by-state law changes, drafting policy updates, and implementing across employee classifications and pay ranges.
• Lead annual compliance audit and handbook refresh, start to finish, in your first 90 days.
• Escalated payroll, benefits, and leave questions that need a more experienced hand.
• Reviewing and unblocking the work of our Payroll and HR Administration team members.
• Rearchitecting our HR ops processes with an AI-native mindset, not just using AI tools, but rethinking how the function should work.
• Growing into ownership of day-to-day HR operations management over time.

Skills

HR generalist

Multi-state compliance

Payroll support

Policy drafting

AI in HR

Education

Bachelor’s degree

Job description

Jerry.ai is seeking an HR Operations lead who will own multi-state compliance, policy drafting, and payroll/benefits questions. You’ll work hands-on in a small, fast-paced team and drive high-impact decisions beyond what's written in a handbook.

You’ll shape how AI fits into HR ops, streamline processes, and eventually take ownership of day-to-day HR operations. The role is based in Palo Alto with some remote flexibility and requires a hands-on, in-house mindset.