We're looking for a Product Manager to join a focused engineering team building at the intersection of Git, AI agents, and the future of developer workflows. You'll be the second PM on this team, working directly with and reporting to a senior PM, embedded with a group of engineers tackling some of the most interesting problems in developer tooling right now. This isn't a traditional PM role. It's a role for someone who's genuinely curious about where software development is heading and already leaning into it — someone who uses AI as more than a writing assistant and who's excited to grow into a new kind of PM in a space where that role is still being defined. You'll work in close partnership with a senior PM rather than being handed a roadmap and left to figure it out alone. The space is moving fast, the problems are genuinely hard, and having a real thought partner at that level is part of what makes this role work. The expectation isn't that you arrive knowing everything; it's that you're sharp, motivated, and ready to grow in an environment that's set up for it. It's a rare opportunity to work closely with senior technical leaders at exactly the moment a new category of tooling is being defined — and to see firsthand how they think about hard problems and what it actually looks like to ship AI-native developer tooling. You'll have real ownership over meaningful parts of the work, not just support tasks, and you'll be building in a space where the norms, tools, and expectations are still being established. That's uncomfortable for some people and energizing for others. We're looking for the latter. The way software teams work is changing faster than their tools. AI agents can now write code faster than any human, but the workflows, interfaces, and infrastructure that surround that code were built for a world where one developer did one thing at a time. Our team is building the tooling that closes that gap: a portfolio of products across the surfaces developers already inhabit that work together to help developers and agents move code through the pipeline faster and with more confidence. Some of it is already in the hands of early users; some of it is newer and moving quickly. A core part of the work is building shared infrastructure — libraries of CLI and MCP tools that are consumed across all of our products. The tech spans CLI tooling, MCP (Model Context Protocol) servers, APIs, desktop application development, VS Code extensions, and AI agent workflows.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees