Software Engineering Manager - AxisCare Home Care Software

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​ Job Description – Software Engineering Manager

Reports To - Director of Engineering

Summary

AxisCare is hiring a full-time, fully remote Software Engineering Manager to build and lead high-performing engineering teams and to help us reimagine how software teams work in the age of AI.

You've been a software engineer, so you know what it takes to build software. But your true calling is creating the environment where engineers thrive, succeed, and grow.

That job is changing fast. We're no longer building the car by hand. We're building the factory that makes great cars, with humans in the loop where the human touch matters most. ( Read more about how we think AI is changing product development. )

There will always be a need for people who deeply understand our customers' most important problems, solve them with high-quality software, and run that software reliably in production. That's the work that endures, and you'll be building and leading the teams that do it.

We're looking for a manager who's already internalized this shift. Someone who pushes their team to use AI tools aggressively, but who also has the judgment to know when the AI is producing confident-sounding garbage, and who's building that same judgment in their engineers. Someone who helps their team develop taste and discipline, not just speed.

What You'll Do

Own the day-to-day health of your teams. Help engineers develop great daily habits, strong communication, and reach the next level, including helping them grow from engineers who only write code into engineers who direct AI effectively.

Partner with product and design counterparts to quickly get from "important customer problem" to "working software," favoring rapid iteration over upfront resolution of every ambiguity. Partner with staff engineers on technical direction, code design, and systems thinking.

Set a high standard of excellence and lead by example, including in how you and your team adopt AI tools and rethink your workflows. If you're asking your engineers to embrace this shift, you'd better be living it yourself. Stay hands-on by running spikes, prototyping, and exploring ideas your team hasn't had time to chase, without taking on critical-path work.

Coach engineers to use AI as a core part of how they build: when to trust the output, when to throw it out, and how to maintain code quality when the machine is doing the typing. Teach them to fish rather than doing it for them.

Challenge your team's assumptions about how software gets made. Question old habits inherited from the era of scarce coding time (exhaustive PRDs, excessive backlog refinement, premature mockup fidelity, story-point ceremony) and encourage cheaper, faster paths to working software.

Create an environment where engineers think about the whole problem, not just the code: understanding cus