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NEXTMOVEFDE careers · United States

Forward Deployed Engineer

Technologies

Python · React · APIs · SQL · GitHub · Salesforce · QuickBooks · Snowflake · Google Sheets · Excel

About Tabs

AI-native revenue platform for B2B finance teams that turns contracts and usage data into billing, collections, rev rec, and reporting workflows.

Series B · 50–100 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Production engineering · Evidence for this classification:

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate 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 Tabs is hiring a Forward Deployed Engineer to join a highly visible team that designs and delivers custom workflows, features, and integrations for our highest-value customers. You'll serve as the connective tissue between customers
More from the job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate 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 Tabs is hiring a Forward Deployed Engineer to join a highly visible team that designs and delivers custom workflows, features, and integrations for our highest-value customers. You'll serve as the connective tissue between customers and product, translating complex requirements into clear solutions while partnering with implementation, customer success, product, and engineering to own the path from scoping through launch. This role sits at the intersection of go-live and long-term adoption, and the solutions you deliver often shape the core product roadmap. You'll work cross-functionally with GTM, Implementation, and Customer Success, partnering closely with Product and Engineering to surface patterns and escalate gaps based [... source excerpt omitted ...] r projects end-to-end (scoping → launch), across a range of sizes and urgency Act as a mini-PM: clarify requirements, define scope, and drive execution across stakeholders Build customer-specific solutions in Python & React, using Tabs’ APIs and internal systems to deliver custom workflows Develop creative solutions by combining Tabs’ APIs with flexible workflows and lightweight tooling Operate in an FDE-style capacity when needed, including investigating customer environments/tools and resolving customer-impacting issues cross-functionally Unblock yourself through independent discovery and communicate clearly on priorities, timelines, risks, and customer impact Who You Are [... source excerpt omitted ...] Resourceful and pragmatic - you gather context quickly, make reasonable assumptions, and unblock progress A creative problem solver who balances speed and quality when delivering customer-facing solutions Technical and systems-minded, with strong instincts for how components interact and where edge cases live Product-oriented and impact-driven - you care about shipping outcomes that work for real users and customers Requirements: 2+ years of experience and strong working knowledge of Python, with experience using it to build and support production workflows and internal tools Strong systems thinking, including the ability to reason about data flows, integrations, edge cases

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