Why This Job is Featured on The SaaS Jobs
This Processing Data Analyst role stands out in the SaaS ecosystem because it sits at the intersection of product automation and operational reliability. Tabs is building an AI-native revenue platform, and the work described centers on Human-in-the-Loop workflows that validate automated contract extraction—an increasingly common pattern in SaaS companies shipping AI features into finance-critical processes.
From a SaaS career perspective, the role builds practical experience in operationalizing AI: setting measurable quality standards, maintaining accuracy reporting, and closing the loop between human review and system performance. That combination—ticket-driven operations, QA discipline, and metrics ownership—translates well across SaaS functions where trust and auditability matter, including RevOps tooling, data operations, and product operations supporting automation.
This position is best suited to professionals who prefer structured problem-solving and can stay consistent across recurring queues, edge cases, and stakeholder questions. It will fit someone comfortable collaborating with both operations and more technical partners, and who enjoys turning ambiguous document and data issues into clear outcomes and actionable feedback for process improvement.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow.
High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance.
Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI.
About the Role
We’re looking for a detail-oriented and analytical Processing Data Analyst to support and enhance the Human-In-The-Loop (HITL) workflows that are used to evaluate our automated extraction. In this role, you’ll ensure the accuracy, efficiency, and reliability of our extraction operations by managing internal ticket queues, maintaining performance metrics, and collaborating closely with our Operations Team. You will also learn about how artificial intelligence is applied at one of the fastest growing companies in financial technology.
This is a fully remote role for a contractor based in the United States.
Tabs Background
Most contracts are extracted fully autonomously and we are consistently increasing the reach of the automated processes. To train this process further, Tabs works with contractors to manually process the contracts and compare the automated results to the human-generated ones.
Complex contracts go through an automatic processing layer and then through a human checker to validate the results. The most complex contracts, however, are processed entirely by people.
The people involved in contract processing are located around the world and work at different times to align with their timezones and the company’s needs.
We are seeking a person to conduct quality assurance (QA) testing on a subset of these complex contracts so as to provide feedback to the processors and to provide reporting to the company about the accuracy of this process
What You’ll Do
Assign processing work to individuals when sufficient information has been received from internal stakeholders
Respond to inquiries from processors who have gotten stuck by looking at internal records about the document type or by escalating the request
Conduct QA on Human-In-The-Loop (HITL) processes to ensure data accuracy and consistency
Maintain and improve HITL accuracy metrics and reporting to key stakeholders and to the processors themselves
Collaborate closely with the Processing Team to relay updates, clarify requirements, and troubleshoot issues
Identify operational inefficiencies and help implement process improvements
Support cross-functional initiatives related to data quality and processing optimization
Who You Are
Highly detail-oriented, organized, and reliable
Strong communicator who can work seamlessly with technical and non-technical teams
Comfortable executing processes end-to-end and making data-driven recommendations
Proactive problem-solver who is energized by improving accuracy and efficiency
Experience
3–5 years of experience in data operations, quality assurance, HITL workflows, or related roles
Experience working with customer service ticketing systems such as Monday.com, Pylon, Jira, or similar
Familiarity with operational metrics, performance tracking, and reporting
Previous experience working in a cross-functional operations or data-focused team
Experience with Google Sheets, SQL, or a BI tool like Looker or Omni is a plus
Experience in a startup or fast-moving environment is a plus
This role is for a remote-only 1099 contractor in the United States. You will set your own hours (up to 40 per week) and complete work at your pace so as to accomplish the goals set forth with your manager. For security, we will provide you with a computer to be used for this work only.
Perks and Benefits (Full-time Employees)
Competitive compensation and equity
Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
Daily meal stipend for in office days
Tax free commuter and parking benefits
Parental leave up to 12 weeks
Voluntary insurances (Life, Hospital, Critical Illness, Accident)
Employee Assistance Program (Rightway)
Unlimited PTO
401k
Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.
