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Sr. Accounting & Payroll Specialist at Bright Machines - ApplyBlast

Sr. Accounting & Payroll Specialist

Bright Machines

5 months ago

3.4 on Glassdoor

Guadalajara, Mexico

Onsite

Full Time

Senior

0 applicants

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About this role

Bright Machines is seeking a Payroll & Accounting Specialist for its Guadalajara office to manage end-to-end payroll processes and lead inventory accounting within a fast-paced manufacturing environment. The role involves collaborating with external vendors and internal teams like Finance and HR to ensure timely payments, accurate month-end closes, and compliance with Mexican labor and tax regulations. This position serves as a critical liaison for payroll transactions, banking activities, and financial reporting essential for operations.

Responsibilities

Manage end-to-end payroll processes and coordinate with external providers
Lead inventory accounting including physical counts and cost analysis
Prepare and record month-end financial provisions and journal entries
Manage banking transactions and generate cash flow reports
File Mexican tax returns including ISR and IVA calculations

Skills

About Bright Machines

brightmachines.com

Headquarters

San Francisco, California, United States

Company Size

201-500 employees

Founded

2018

View Profile

Bright Machines is a manufacturing automation company that combines robotics, machine vision, and cloud-native software to deliver flexible, software-defined production systems. They build modular "microfactory" cells and intelligent assembly lines that automate repetitive manual tasks for electronics, medical devices, and consumer products using vision-guided robots, programmable tooling, and orchestration software. Their platform provides digital work instructions, real-time quality inspection, and production analytics to accelerate ramp-up, improve yields, and enable distributed, scalable manufacturing. Enterprises use Bright Machines to reduce labor dependency, shorten time-to-market, and make factory operations more programmable and data-driven.