Software Engineer (Time & Billing) at Litify

  • Company: Litify
  • Location: Anywhere, USA
  • Salary: $115 – $120/hr
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-10-29

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Job description

About Us At Litify, we're powering a new era for the legal industry. Since its founding in 2016, Litify has helped law firms and corporate legal departments turn operations into impact through its leading AI-native Platform of Action. Over 55K legal professionals and 450+ enterprise clients across plaintiff, insurance defense, immigration, and the Fortune 500 trust Litify to combine cloud-based technology, configurable AI-native workflows, agentic AI, and powerful business analytics into one open ecosystem that moves legal teams from systems of record to systems of action. Backed by Bessemer Venture Partners and recognized as an Inc. 5000 and Deloitte Technology Fast 500 fastest-growing private company, Litify is at the center of legal innovation. Headquartered in New York, we're building the last legal platform our customers will ever need. About the Team Lawyers bill in six-minute increments, and every one of them counts. Litify Time & Billing turns that time into revenue: time entry, billing rules and rates, pre-bills and invoices, payments, e-billing, and a two-way sync with Accounting Seed. If you like problems where a rounding rule matters and an invoice has to be right every time, this is your team. About the Role Litify is looking for a Software Engineer to join our Time & Billing team. The code you ship decides how firms capture their time, bill their clients, and get paid. We recently integrated with an AI time-capture partner, so the work lawyers do during the day becomes time entries that flow straight into billing. That is the kind of work this team takes on, and on a small team, your part in it is visible. We want a strong, versatile engineer who works across the stack and is eager to dig into new technologies. Our product runs on Salesforce. Prior Salesforce experience isn’t required: if you come from Java, C#, TypeScript, or a similar stack, senior engineers on the team will help you learn the platform. AI-assisted development is how this team works. We use AI coding assistants every day to plan, write, test, and review code. We want someone who already builds this way, knows how to check what the assistant produces, works within solid guardrails, and helps teammates do the same. AI makes each of us faster, but the team still designs, reviews, and decides together. How we work: We value speed and follow-through. If you like shipping steadily and seeing your impact in the numbers, you will fit in here. We are a team of four engineers, part of a team of nine with an engineering manager, a product manager, a UX designer, and two QA engineers We work in two-week agile sprints, where engineers and Product refine the work together and we estimate story points as a team We track what we complete each week and look at how AI helps us deliver more Features start from Figma designs and go through full QA and a package regression pass before each release We ship three major releases a year as Salesforce managed packages, plus patch releases, on a set schedule rather than through continuous deployment We keep meetings to a minimum and work through Jira and Slack In this role, you will: Design and build features for time capture, billing, and invoicing, from the data model to the UI Help lead how the team builds with AI, from agent workflows and shared prompts to review practices Build and maintain integrations, from our Accounting Seed sync to AI time-capture partners Help build, test, and ship our releases Go beyond the code: help shape requirements with Product, test your work end to end with QA, and refine UI details with UX Contribute to project documentation and knowledge bases To be successful in this role, you have (required): 4+ years of experience with a typed back-end language (for example Java, C#, TypeScript) Front-end experience with modern JavaScript, a component framework such as React, and CSS styling Solid data modeling and SQL skills, including working with large data sets and designing code that scales A

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