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Jane App

Senior Developer - Dev Acceleration Team

Posted 16 Days Ago
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Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Build platform tools and shared infrastructure that accelerate developer productivity across the org, drive safe agent-authored code into production, embed with product teams to remove development friction, and measure impact. Own platform design, adoption, and communication to help ~300 developers ship faster.
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About The Role

Hi, I'm Devlon. I lead Developer Acceleration at Jane, joining back in February.

My team's job is simple to say and hard to do well: give Jane's developers measurable leverage to ship faster. Sometimes that's a tool someone invokes, sometimes it's a foundation they build on without even noticing it's there. Either way, our "customers" are the ~300 developers across Jane, and our work is what lets them spend less time fighting friction and more time building the things that help our clinics run their businesses and care for their patients. That's the mission, just one layer removed: we help the people who help the helpers.

This role matters because we are at the point where AI-augmentation for product development should be a paved path. You'd be one of the people building that path, not just for one team, but for the whole engineering org.

What Impact We're Looking For You To Make
  • Build the tools and shared infrastructure that make every developer at Jane faster. That spans the agentic context and harness the monolith relies on, the plugins and skills teams reach for daily, the environment that lets agents do real work safely, and the measurement that tells us what's actually landing. Your work multiplies across the whole engineering org, not just one product surface.

  • Build with a platform mindset, and the judgment to know when it applies. Most of what you make should plug into a larger system we own and maintain, whether that's running agents in the cloud, distributing skills to developers, or managing context. But a quick one-off is sometimes the right way to learn what's real before committing to the durable version. The skill is knowing which is which.

  • Bring a systems eye to how developers actually work. Some of the time you'll embed alongside product teams, watching how they build and diagnosing where time really goes (CI noise, oversized PRs, review latency, changes-requested churn). The rest of the time you're turning what you saw into tooling that removes the friction rather than papering over it, and that spreads beyond the team you sat with.

  • Drive agent-authored code from novelty to normal, growing the share of PRs that agents open, land, and merge, and set the bar for how the rest of us build with AI along the way.

  • Communicate early and often in team channels, sharing context, surfacing risk, and helping everyone stay aligned in a distributed environment. We lean toward over-communicating here, and that's on purpose.

What Experience We Need
  • Deep, hands-on experience designing systems other developers depend on, with the judgment to know when tooling helps and when it gets in the way.

  • Hands-on, daily experience building with agentic AI coding tools (Claude Code, Cursor, and similar) across the software development lifecycle. This is the center of the role, not a nice-to-have. We're looking for someone who already delegates real work to agents: writing specs, running multi-file changes, and reviewing output critically.

  • A track record of building production-grade systems, often from the ground up, paired with real understanding of what it takes to work across large, long-lived codebases with many teams and deep history. That includes the particular problem of getting an LLM the right context to be useful inside all of it.

  • Genuine curiosity about developer experience and productivity, and the understanding that building a tool is only half the job. The other half is getting it used: the documentation, teaching, and hands-on time with developers that turn a good tool into one people actually reach for. This shows up as a bias to action and an open, collaborative style; the team thrives on people who engage, connect, and share generously.

  • Experience with evals, prompt and context engineering, or the guardrails that make autonomous agents safe to trust is a real plus. So is a background in observability and quality: both the pre-LLM kind, and the harder question of how you observe and measure systems that don't behave the same way twice. None of it is required, but it's very welcome. Most of what you'll build is in TypeScript, so comfort there matters; Ruby on Rails will help you hit the ground running in the Jane monolith, but it isn't required.

If you don't meet every single qualification but are excited about this role, we'd still love to hear from you.

More About Jane

Jane is a founder-led, high-growth SaaS company with a remote-first team working across Canada, the US, and the UK, united by our mission to help the helpers.

We build the products and tools that thousands of clinics rely on every day to run their businesses, care for their patients, and grow their communities. That level of impact means every person at Jane plays an important role in how we show up for our customers. We're all responsible for being deeply connected to their needs, obsessed with improving their experience, and proud of the difference our work makes in their day-to-day lives.

Jane is growing fast, and that growth brings exciting challenges that call for adaptability, resilience, learning agility, and humility. We're proud of what we've built and quick to admit what we don't know yet. We listen, learn, and adjust as we go. More than 70,000 businesses run on Jane which has 250,000+ practitioners interacting with our product on a daily basis and growth is continuing to accelerate.

We're also embracing the possibilities of AI, using it to work smarter, improve our systems, and create even better experiences for our customers and our team. No matter your role or team, we expect every Janer to be curious, experimenting, and finding new ways to build with AI. We'll make sure you have the tools, support, and space to explore, learn, and share what you discover along the way.

Our goal isn't just delivery, it's delight. We move quickly, communicate openly, and solve real problems together. If you're energized by ambiguity, motivated by impact, and eager to learn with others, you'll thrive at Jane.

Compensation & Benefits

At Jane, we're committed to paying fairly, clearly, and above all, paying for growth. This role has an annual salary range of $128,000 to $200,000. While that is a large range, it is intentional. It reflects the full growth journey someone might take in the role, from developing skills early on to becoming highly proficient and ultimately achieving excellence.

Most new hires join at the accomplished stage, which for this role represents an annual salary of $152,000. A starting salary below this typically indicates a candidate with strong potential who is still developing key skills. Salaries above this usually apply to existing team members who have made a significant impact and bring deep Jane-specific knowledge.

We believe in paying for growth. You'll have regular career development conversations with your manager, and your compensation will grow as you gain experience and contribute meaningfully to our mission.

Paying clearly is one of our compensation fundamentals. Watch this short video to learn how our salary bands are set. You're also encouraged to ask questions about compensation at any point during the interview process.

We also offer a comprehensive benefits package. You can learn more about it here!


Jane takes job scams and candidate fraud seriously. Jane will only contact you from an @jane.app email address. We'll never contact you from a personal email, ask for payment, or request purchases during the hiring process. If something doesn't seem right, please reach out to us at [email protected] before sharing any personal information.

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