Agent Operations Associate
New York City, NY
Full Time Mid-level / Intermediate USD 110K - 150K
About Tabs
Tabs is revolutionizing Accounts Receivable for B2B companies using the power of AI. By interpreting complex contracts and aligning them with CRM and ERP data, Tabs automates billing, cash application, revenue recognition, and more. With our "Commercial Graph," businesses streamline operations, reduce manual work, and go live in days—not months. We are backed by top-tier VCs including General Catalyst, Lightspeed, and Primary Ventures, and have raised $35M to date.
Tabs is a fast-paced, mission-driven startup headquartered in New York City with a dynamic and high-performing team passionate about reshaping the financial operations stack.
Role Overview
We’re seeking a resourceful and detail-oriented Agent Operations Associate to play a critical role in overseeing the performance and reliability of Tabs’ AI agents. This team member will analyze and correct agent behavior, partner with engineering to build and refine workflows, and provide direct feedback to improve the end-user experience.
You’ll serve as both a power user of internal tools and a key business stakeholder, ensuring that our agent products execute tasks accurately and deliver high-value, merchant-facing outcomes. This is a unique opportunity to shape the development of AI-powered automation at scale, combining technical understanding, accounting knowledge, and process optimization.
Key Responsibilities
Design & Build New Workflows
Identify merchant needs unmet by current agent capabilities.
Partner with engineering to propose and help implement new agent tasks (e.g., line item cash application reports).
Enhance the Agent Experience
Act as a business stakeholder in evaluating and improving the overall merchant-agent experience.
Provide structured feedback on agent clarity, helpfulness, and interaction quality across communications.
Data Labeling & Training Support
Use LangSmith or other internal tools to annotate, tag, and deconstruct agent interactions for better model training and response quality.
Help develop reusable components for faster product iteration.
Accounting & Technical Understanding
Interpret and troubleshoot outputs based on basic accounting concepts: AR aging, reconciliation, forecasting, accruals.
Understand and apply scripting conventions used in LangGraph to validate agent responses and detect logic errors.
Project Management & Collaboration
Coordinate regularly with engineering teams to track ongoing initiatives.
Drive alignment and progress across cross-functional priorities, including offshore analyst teams.
Qualifications
3–7 years of experience in Investment Banking, Private Equity, Consulting, Operations, or similar roles in financial services or startups.
Ability to understand as well as apply basic and intermediate accounting principles (like charts of accounts, reconciliation, AR aging, cash forecasting, revenue recognition).
Basic to intermediate understanding of Python, or other technical script languages, to interpret technical command execution.
Strong analytical and problem-solving skills, with attention to process accuracy.
Exposure to scripting or automation tools (LangGraph, LangChain, etc.) a plus.
Excellent communication and cross-functional collaboration skills.
Plus: Minor in Computer Science or Data Science
Why Tabs
Competitive salary and equity package.
100% healthcare coverage (Medical, Dental, Vision).
Daily lunch, dinner and coffee stipend
Pre-tax commuter benefits.
Collaborative, high-growth environment with a top-tier founding team with a track record of multiple exits from early stage to IPO.
Opportunity to work on cutting-edge AI products reshaping how companies manage receivables.
Note: We encourage you to apply even if you don’t meet 100% of the requirements. Tabs values diversity of thought and experience.
This is a full-time, in-person role 5 days a week based in our Midtown Manhattan office on Park Avenue.
Tags: Accounting concepts Banking Computer Science Consulting Engineering LangChain Model training Python
Perks/benefits: Competitive pay Equity / stock options Health care Startup environment
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