Manager, GL Accounting

Arvada, CO - US. Posted 4 months ago

The role

The Manager of General Ledger - Manufacturing will build systems, processes, and a team to support Crusoe Industries scaling. This role involves owning corporate accounting areas, managing close processes, and architecting an AI-enabled finance team in a manufacturing environment.

What you will do

Own key corporate accounting areas including expense accruals, reconciliations, accounts payable and complex balance sheet and P&L accounts.
Manage the monthly and quarterly close process in accordance with U.S. GAAP.
Drive process improvements and automation initiatives.
Ensure strong internal controls over financial reporting including control design, documentation, and remediation.
Serve as the primary point of contact for external and internal auditors.
Lead and develop a team of corporate accounting professionals.

Required qualifications

Bachelor’s degree in Accounting
CPA
8+ years of prior work experience
In-depth knowledge of U.S. GAAP
Extensive experience in technical accounting and financial reporting
Strong problem-solving and communication skills
High level of proficiency in Microsoft Excel
Proven success in creating efficiencies, systems, and controls in a fast-paced, autonomous environment
Experience with manufacturing, complex legal/reporting structures
Drug and alcohol program participation is required

Nice to have

public accounting experience

Benefits

Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. The company uses an energy-first approach to solve power bottlenecks for AI compute.