Payroll Specialist

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

High-Tech, Artificial IntelligenceIndustries

Requirements

Candidates should have 2-3 years of experience in U.S. payroll, with exposure to global payroll processes being a plus. Proficiency with ADP Workforce Now or similar systems is required, and experience with international payroll systems and annual employee tax reporting is beneficial. A basic understanding of payroll tax laws and compliance requirements, along with strong Excel/Google Sheets skills for tasks like pivot tables and V/H/XLOOKUPs, is necessary. The ideal candidate is detail-oriented, highly organized, comfortable working with sensitive data, and able to work independently in a fast-paced, remote environment. Experience with equity compensation and multi-state payroll is a bonus.

Responsibilities

The Payroll Specialist will support end-to-end semi-monthly and monthly payroll processing for U.S. and international entities, validating inputs such as new hires, terminations, salary changes, and equity exercises. This role involves ensuring compliance with payroll regulations by monitoring employee nexus and completing state registrations, reconciling payroll data, and partnering with People Ops, Finance, and external vendors to maintain data accuracy and resolve issues. Responsibilities also include providing onboarding support for new employees, assisting with audits and reporting, creating process documentation, maintaining data confidentiality, and supporting process improvement initiatives to scale accounting operations.

Skills

Payroll Processing

ADP Workforce Now

Global Payroll

US Payroll

Compliance

Reconciliation

Data Accuracy

Process Documentation

Audit Support

Reporting

Groq

AI inference technology for scalable solutions

About Groq

Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.

Mountain View, CaliforniaHeadquarters

2016Year Founded

$1,266.5MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from SambaNova Systems and Gradio in high-speed AI inference.

Geopolitical risks in the MENA region may affect the Saudi Arabia data center project.

Rapid expansion could strain Groq's operational capabilities and supply chain.

Differentiation

Groq's LPU offers exceptional compute speed and energy efficiency for AI inference.

The company's products are designed and assembled in North America, ensuring high quality.

Groq emphasizes deterministic performance, providing predictable outcomes in AI computations.

Upsides

Groq secured $640M in Series D funding, boosting its expansion capabilities.

Partnership with Aramco Digital aims to build the world's largest inferencing data center.

Integration with Touchcast's Cognitive Caching enhances Groq's hardware for hyper-speed inference.

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