
Tabs is a revenue automation platform that helps B2B businesses automate invoice-to-cash workflows like billing, receivables, payments, rev rec, and reporting.

Tabs is a revenue automation platform that helps B2B businesses automate invoice-to-cash workflows like billing, receivables, payments, rev rec, and reporting.
What they do: AI-native revenue automation for B2B finance (billing, collections, rev rec, reporting, payments)
Founded: 2023
Headcount (approx.): 175
Customers: 150–200+ (company-reported)
Known funding: Total reported ~$92M
Contract-to-cash and revenue operations automation for B2B finance teams.
2023
Software Development
Listed as a Series A on Oct 30, 2024
$55,000,000
Series B announced as $55M led by Lightspeed with participation from General Catalyst and Primary
“Backed by institutional investors including Lightspeed, General Catalyst, and Primary”
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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 You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability.
This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact.
What You’ll Do
Experience
Nice to have
Perks And Benefits (Full-time Employees)
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.
Compensation Range: $140K - $195K
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3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
Solid programming skills in Python.
Strong SQL skills and experience designing/data modeling for analytics
Hands-on experience with a modern cloud data stack, such as:
Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
Orchestration/transformation: dbt, Airflow, Dagster, or similar.
Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
Strong understanding of data quality, testing, and monitoring practices.
Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.