Field Software Engineer, Capture Operations

Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models.
Here are our Company Values and we’d love to have individuals who can be a culture add to our team!
What We Offer
Pay wired directly to your bank account
$50 Monthly Stipend
Annual Bonus
Flexible PTO
Enjoy company time off during some of the major PH Holidays
Career fast track for performers and internal mobility
Learn from a team of Stanford, MIT, Google and Harvard alumni
Grow With Us
We are looking for a Software Engineer to join our growing Robotics Data Collections team. This role will keep the footage flowing, from a stuck upload at a capture site to the dashboard screen the operations team reads every morning.
Your users are real people a few metres away: the operators and contributors recording every day. When something breaks, it's their hours, their pay, and their patience on the line, and this role exists to care about that deeply. You'll see your users face to face at capture sites, hear them in the support channels, and build with them in mind.
Every day, capture sites record hours of footage that must land safely in the cloud. When it doesn't (a stuck upload, an unreadable card, an app refusing to finish, hours that don't add up), you are the engineer who finds out why, unblocks it without losing data, and then improves the software so it explains itself next time. The work spans every surface the operation touches: a desktop app site staff use to offload and upload footage, a phone app contributors record with, web dashboards and reports, and the physical devices themselves. You'll build on some of these surfaces and debug on all of them.
You are also the engineering voice site staff hear every day. Our operations run on Slack, across time zones. Operators post a screenshot of an error and ask what it means and what to press next. The core engineering team wakes up hours later and reads what you wrote to understand what happened in the field. This role lives in that conversation, translating between confused screenshots and root causes, in both directions.
This is an AI-first job. The operation is scaling faster than any team could answer tickets one at a time, so we don't. You'll use AI agents as a daily multiplier: to write diagnostics while you're still reading the error, to investigate many stuck uploads at once, to draft the guide while you fix the cause.
What it's like
Small, fast-moving team; your work shows up in the operation the same week.
A mix of support conversations, focused software days, and field days at capture sites.
AI agents are a first-class part of how the whole team works. You'll work directly with the
Day In The Life
Product engineering (40%)
Build features in the desktop and mobile apps. Ship improvements to the desktop app site staff run every day (offloading cards, uploading, seeing what landed) and the phone app contributors record with: better flows, clearer states, fewer ways to get stuck.
Build the dashboards and reports the operation runs on. Hours and progress reports, upload accounting, status screens: make the numbers trustworthy and the words on screen say what's actually happening.
Write software every week, with AI as your leverage, across the desktop app (Electron), the phone app (React Native), web dashboards (React/TypeScript), and Python services and tooling. You'll routinely have AI agents write and iterate on diagnostics, tests, and features with you.
Field support & debugging (35%)
Run the daily support loop. Be the first responder in our support channels when site staff hit upload, app, or device problems; answer in plain language, unblock them fast, and follow through until it's resolved, not just explained.
Diagnose and unblock the upload path. When footage is stuck between a capture card and the cloud, trace where and why (device, card, app, network, cloud), get it moving again safely, and make sure nothing is lost or double-counted along the way.
Scaling the operation (15%)
Solve classes of problems, not instances. Every question the ops team has to ask an engineer twice is a gap; turn recurring ones into self-serve screens, clearer error messages, AI-powered diagnostics, and guides operators reuse. Your goal is that the operation can grow without support growing with it.
Devices & hardware (10%)
Be hands-on with devices when the problem is physical. Use AI-wr