Associate Product Engineer

You take a piece of work all the way: understand the customer's problem, find the root cause, build the fix, prove it works, ship it, and confirm it is fixed in production. This is not a ticket-in, pull-request-out job. The engineer who does this well here investigates before coding, tests their own work on QA, records a short Loom walkthrough so product can accept without a meeting, and stays with the change through staging and deploy until the customer's issue is closed. That is the bar.

WHAT END TO END MEANS HERE

01 Understand the problem.

Read the support escalation, reproduce it on QA, and trace the root cause in code and in production data. Say clearly whether it is a product defect, a data gap, or working as designed, and bring the evidence.

02 Build the fix.

In Java (Spring Boot) or Ruby on Rails, with tests. A React change when the fix needs one.

03 Get it reviewed.

Open the pull request, answer review comments, keep CI green.

04 Test it yourself on QA.

The golden path plus the edge cases from the ticket. Screenshots and the resulting database state go on the ticket.

05 Record a Loom for acceptance.

Before and after, in under five minutes. Product accepts from the recording.

06 Ship it and close the loop.

Take the change through staging to production, watch the deploy, verify it in production, and update the original support ticket.

WHAT YOU WILL WORK ON

Customer escalations and product features across accounts payable and bill pay, month-end close, AI transaction categorization, financial reporting and ledger migration. Some weeks it is a two-line fix with a long investigation behind it. Some weeks it is a new feature from a product spec to a working screen.

BACKEND: Ruby on Rails · Java 17 / Spring Boot

FRONT END: React · TypeScript

DATA: PostgreSQL · MongoDB · Redis · RabbitMQ

DELIVERY: Bitbucket · CircleCI · Jenkins · Kubernetes

AI TOOLING: Claude Code, daily

TRACKING: Jira · Loom · Slack

Requirements

• 0 to 3 years of software engineering, or an exceptional new graduate with shipped projects.
• Java and Ruby on Rails. Strong in at least one, with clear evidence you can pick up the other quickly. You will work in both.
• SQL you can use to prove a point. You can read production data to confirm or reject a theory before you write code.
• Root cause before fix. You are uncomfortable patching a symptom.
• You write clearly. Tickets, pull request descriptions, Loom narration. People should be able to follow your work without a call.
• Genuine appetite for AI tooling. You have already used Claude Code, Cursor, Copilot or similar seriously, and you want to get much better at it.
• Intent and ownership. You want to be the person a delivery depends on, and you show up when it does.

NICE TO HAVE

React and TypeScript in a production codebase.

Kubernetes, CI pipelines, or a deploy you have babysat yourself.

Basic accounting literacy: chart of accounts, journal entries, bank reconciliation.

Experience on a product team that talks to customers directly.

Benefits

• Full time opportunity with a competitive compensation package.
• Great growth potential at a fast-growing startup, we want you to grow with us!
• Company provided laptop and necessary hardware to ensure you are set up for success.
• Inclusive and motivating work culture that values team collaboration.