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Python Software Foundation is seeking a Senior Full-Stack Engineer for a fully remote US-only role. You will join a lean engineering team tackling AI-assisted software development, moving repetitive tasks to AI, and delivering end-to-end full-stack systems with modern tooling.
The role emphasizes building scalable, maintainable code, improving workflows with AI, and mentoring teammates. Expect a 40-hour week, with equity and a competitive USD salary.
Senior Full-Stack Engineer [Full Time; 100% remote; US-only]
You'd be joining a lean, high-leverage engineering team tackling the complexity of legal software — not by pushing longer hours, but by getting genuinely good at working alongside AI. This isn't a "we occasionally use ChatGPT" team. The group is actively figuring out how to hand repetitive engineering work to AI so people can spend their time on the problems that actually need human judgment.
If you like tight feedback loops and think of AI as a real engineering collaborator rather than a novelty, this is that kind of team.
Founded by two repeat entrepreneurs who set out to build a company without the usual startup burnout culture — their previous venture picked up multiple workplace-quality awards.
The team protects:
Comp: USD $135,000 - $185,000 DOE, equity grant appropriate to the role, standard ~40-hour week.
Benefits:
What We're Looking For
7+ years of professional, commercial software development — shipping, deploying, maintaining, and debugging real production systems — plus:
Nice to Have
Who Does Well Here
Most B2B software hangs on by selling harder. This company we represent hangs on because customers refuse to leave.
They're a profitable SaaS business that helps legal and compliance teams actually run their contracts — growing fast enough that the product keeps outrunning the size of the team, without the usual raise-burn-scramble cycle. An institutional round a few years ago built the foundation; since then they've stayed capital-efficient and in the black.
In their category, they're the product buyers pick when they care about ease of use and whether they'll still be happy a year later. Retention is effectively maxed out. That same discipline shows up inside the company: a small team that protects a real work/life boundary and still ships software people stick with.