Engineering Project Manager

CodePath is the largest educator of college computer science students in the country. We've trained over 40,000 students from 1,000+ universities, and our partners include Amazon, Google, and other leading technology companies. We've spent nearly a decade training the next generation of technical talent, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world. We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work. We believe technical skill is the fastest way to turn raw talent into real opportunity. We train the engineers the AI era runs on, building toward millions of learners, hundreds of millions in revenue, and billions in economic impact. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, this is the place to build it. About the Role Location: Remote (United States, Europe, Canada, or LATAM) Role Type: Full-Time Reporting to: VP of Engineering Compensation: $140,000 to $178,000 per year for US-based applicants. Adjusted contingent on location for applicants based in Canada, LATAM, and Europe. CodePath's educational programs run on our learning platform, a set of applications spanning admissions, course delivery, grading, career coaching, and reporting. A small engineering team builds and maintains all of it. As we build more and serve more learners, we need someone whose job is to keep that work organized, tested, and moving. We're looking for an Engineering Project Manager who works alongside our engineers day to day. You'll keep projects organized and moving, make sure what we build gets tested and bugs get fixed, and keep the engineers, the product team, and the internal teams who use our tools in sync. Key Activities Keep engineering projects organized and moving: track what's in flight, flag what's blocked, and help the team stay clear on what's next Own quality: test what we build, use AI to automate the repetitive parts, and write Capybara tests where they're worth it Run the bug pipeline: reproduce issues, prioritize them, route them to the right engineer, and confirm the fix Be the day-to-day connection between the engineers, the product team, and the internal teams who use our tools Work with us to determine when adding process or rituals might be useful, but being thoughtful about the cost and friction Report on status so the team and leadership know where things stand Qualifications 4+ years in a project management, delivery, or QA role, ideally on a small engineering team Technical enough to work closely with engineers: you can reproduce a bug, read a stack trace, and write a test case to automate fixing it Hands-on QA experience: you've owned testing and a bug pipeline, manual or automated Comfort using AI tools to automate work you used