About Us
Nourish is on a mission to improve people’s health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but <1% of eligible Americans use their covered benefits.
Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform.
We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.
Learn more about us
here and read about our recent Series B
here.
About the Role
We’re looking for a systems-minded Senior HR Business Systems Analyst to join our People team. In this role, you’ll support and maintain core People systems and workflows across the employee lifecycle, with a strong focus on HRIS administration, systems integration, data accuracy, and operational execution.
You’ll partner closely with People, Recruiting, IT, Payroll, and Benefits to ensure systems are configured correctly and experiences run smoothly. You’ll also help document processes, troubleshoot system issues, and identify opportunities to streamline and automate workflows leveraging AI.
This is a full-time role with remote flexibility. If in New York, our office is located in Gramercy.
Key Responsibilities:
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HRIS & People Systems Management: Own day-to-day administration of the People Team tech stack (e.g., ADP, Lattice, Checkr, Workbright), ensuring systems are accurate, integrated, and optimized to support the employee lifecycle.
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Data Integrity & Compliance: Maintain accurate employee records across all systems through regular audits and controls. Support compliance reporting and documentation related to employment eligibility, benefits, and internal audits.
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Employee Lifecycle Operations: Improving and supporting employee lifecycle events such as onboarding, offboarding, transfers, leaves, and terminations.
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Benefits Administration & Open Enrollment: Administer employee benefits programs, including life event changes, vendor coordination, and employee support. Assist in planning and executing Open Enrollment, ensuring clear communication and accurate system setup.
We’d love to hear from you if:
- You have 4-6+ years of experience in HRIS, people systems, business systems, or SaaS systems analysis roles.
- You have hands-on experience with HRIS and people systems such as Workday, Rippling, BambooHR, UKG, HiBob, Greenhouse, or Lever, or other SaaS ecosystems (e.g., Salesforce, NetSuite, ServiceNow) and have supported complex business processes.
- You can identify opportunities and implement solutions to leverage AI and automation to streamline people workflows, improve data quality, and reduce manual operational work across the employee lifecycle.
- You have proven experience leading or supporting HRIS implementations, system rebuilds, migrations, or tool consolidations.
- You have a strong background working in scaling or high-growth environments.
- You have a deep understanding of HRIS data models and employee lifecycle workflows.
- You have an analytical mindset with the ability to map end-to-end processes and data flows.
- You're comfortable working with reporting tools, data exports, and/or SQL (hands-on or in partnership with data teams).
- You're able to write clear system documentation, requirements, and integration specifications.
- You're highly detail-oriented with a strong bias toward data accuracy and system reliability.
More Information
