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 habit of writing tests
Daily, hands-on experience building software with AI coding assistants
An ability to communicate clearly with Engineering and Product, including teammates in other time zones
Nice-to-have
Prior experience developing on Salesforce (Apex, Lightning Web Components, SOQL), or Salesforce Administrator or Platform Developer certifications
Experience at a Salesforce ISV, such as releasing managed packages and passing security review
Legal billing knowledge, such as fee arrangements, rates, write-downs, and LEDES e-billing
Experience with Accounting Seed or another finance or ERP product
Experience building AI tooling, such as custom agents, MCP servers, or shared prompt libraries
Where you can grow
Learn the Salesforce platform with support from senior engineers
Use professional development funds for courses, conferences, and certifications, including Salesforce certifications
Grow into owning an area of the product, from design through release
Help shape the team’s AI practices and grow into leading them
Build toward a senior role at a company that likes to promote from within
Disclosure
This job is fully remote, with the exception of employees living in New York City and New Jersey. Our NYC/NJ employees adhere to our hybrid schedule, which involves working in our Manhattan office 6 days a month.
The estimated base salary for this role is $115-120k. You may also be offered a bonus and benefits.
Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.
Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.