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Weekday Ai Manager Jobs (NOW HIRING)

Weekday AI

Ledger and reconciliation AI Expert

$100 - $120/hr

The ideal candidate will bring strong expertise in ledger management, reconciliation practices, and financial data structures, while leveraging AI-driven tools to streamline workflows and enhance ...

Weekday AI

Leader/Manager - Flink

$19 - $21/hr

This role is for one of the Weekday's clients Min Experience: 8 years Location: United States JobType: full-time We are seeking to hire an Engineering Manager or Principal Engineer to play a key role ...

Weekday AI

Financial modeling AI Expert

$100 - $120/hr

Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial ... Excellent communication and stakeholder management abilities. Preferred Qualifications:

Weekday AI

Digital Media Manager

Stanford, CA · On-site

$105K - $136K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Manage day-to-day requests, handling content ...

Weekday AI

Manager - Digital Media

Stanford, CA · On-site

$105K - $136K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Oversee daily requests by managing content ...

Weekday AI

Manager - Digital Media

Stanford, CA · Hybrid

$105K - $136K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Oversee daily requests by managing content ...

Weekday AI

Digital Media Manager

Stanford, CA · Hybrid

$105K - $136K/yr

This role is for one of the Weekday's clients Min Experience: 3 years Location: Stanford, CA (Hybrid) JobType: full-time Requirements Responsibilities: * Manage day-to-day requests, handling content ...

Weekday AI

Head of Risk Management

Malta, NY · On-site

This role is for one of the Weekday's clients Min Experience: 5+ years Location: Malta, Sicily, Italy, Greece, Tunisia, Albania JobType: full-time Requirements Risk Management * Set up and manage the ...

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Weekday Ai Manager information

What is the difference between Weekday Ai Manager vs Data Analyst?

AspectWeekday Ai ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with AI toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI-focused teams, collaborative projectsBusiness departments, reporting teams, data-driven decision-making
Employer & Industry UsagePrimarily in AI and tech industries, startups, and enterprisesAcross various industries including finance, marketing, healthcare

Weekday Ai Managers focus on overseeing AI projects, managing AI teams, and implementing AI solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills, but the AI Manager emphasizes AI strategy and team leadership, whereas Data Analysts concentrate on data interpretation and reporting.

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Infographic showing various Weekday Ai Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Ledger and reconciliation AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Re-posted 28 days ago

Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a detail-oriented and analytically driven Ledger & Reconciliation AI Expert to join our finance and data transformation team. This role sits at the intersection of accounting, data analytics, and emerging AI technologies, focusing on improving the accuracy, efficiency, and scalability of financial processes. The ideal candidate will bring strong expertise in ledger management, reconciliation practices, and financial data structures, while leveraging AI-driven tools to streamline workflows and enhance decision-making.
Requirements
Key Responsibilities
You will be responsible for managing and optimizing end-to-end account reconciliation processes, ensuring the integrity and accuracy of financial records across systems. This includes performing detailed account reconciliations, identifying discrepancies, and conducting variance analysis to highlight trends, anomalies, and potential risks. You will play a key role in automating reconciliation workflows using AI tools, reducing manual intervention, and improving turnaround time.
A significant aspect of the role involves handling intercompany transactions and eliminations. You will ensure accurate recording, reconciliation, and elimination of intercompany balances in compliance with accounting standards. Collaboration with cross-functional teams across geographies will be essential to resolve mismatches and ensure timely closure of books.
You will also contribute to the design, structuring, and ongoing maintenance of the chart of accounts. This includes aligning account hierarchies with reporting requirements, ensuring consistency across business units, and supporting scalability as the organization grows. Leveraging AI and data tools, you will help enhance account mapping, classification, and reporting accuracy.
AI & Process Optimization
The role requires a forward-thinking mindset to integrate AI into traditional accounting functions. You will evaluate, implement, and optimize AI-powered reconciliation tools, anomaly detection systems, and financial data models. Your work will focus on improving data quality, automating repetitive tasks, and enabling predictive insights for finance teams.
Qualifications & Skills
  • Bachelor's degree in Accounting, Finance, or a related field; CA or equivalent qualification preferred
  • 2-8 years of experience in ledger management, reconciliations, or financial controllership
  • Strong expertise in account reconciliations and variance analysis
  • Hands-on experience with intercompany accounting and eliminations
  • Deep understanding of chart of accounts design and governance
  • Familiarity with ERP systems (e.g., SAP, Oracle, NetSuite) and reconciliation tools
  • Exposure to AI/ML-based finance tools or automation platforms is highly desirable
  • Strong analytical thinking, attention to detail, and problem-solving skills

What Success Looks Like
Success in this role means delivering highly accurate financial records, significantly reducing reconciliation timelines through automation, and proactively identifying discrepancies before they impact reporting. You will act as a bridge between finance and technology, driving smarter, faster, and more reliable financial operations.

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