
Job Overview
Location
San Francisco
Job Type
Full-time
Category
HR & Recruiting
Date Posted
April 9, 2026
Full Job Description
📋 Description
- • The People Operations Specialist at Distyl Inc. is a critical role responsible for owning the programs that support employees and ensure the company runs smoothly as it scales, serving as the foundation for building and maintaining a high-performing workforce in an ambitious AI technology company.
- • Day to day, the specialist will manage the full employee lifecycle including onboarding and offboarding, maintain accurate employee data in HRIS systems, partner with immigration counsel on visa processes, administer benefits and leave programs, ensure compliance with multi-state and federal regulations, and support HR projects that improve employee experience and infrastructure.
- • Distyl is an applied AI technology company backed by top-tier investors, partnering with ambitious institutions to rearchitect critical operations using AI, with a mission to power AI-native operations for clients and internal use, and a track record of 100% production deployment success and profitability.
- • In this role, the person can learn to build scalable HR programs from the ground up, gain end-to-end ownership of immigration, benefits, and compliance processes, develop expertise in HRIS and data-driven people operations, and grow their impact in a fast-moving, mission-driven environment that values curiosity and pragmatism.
Skills & Technologies
About Distyl Inc.
Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.
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