We're hiring a Staff Software Engineer to build AI products our customers can feel, and to make the team around you faster while you do it. Your first big surface is a customer-facing AI product that takes meaningful operational work off a studio owner's plate and helps them grow. Alongside that, you'll help modernize core parts of our architecture, and build the agentic loops, CI, and observability that let a small team ship at a fast pace.
🏢 About Arketa
Arceta is building the operating system for modern fitness and wellness. Our mission is to make wellness more accessible by empowering studios and wellness entrepreneurs to grow beyond in-person classes. We provide a powerful, all-in-one platform to manage and scale hybrid wellness businesses, whether online, in-person, or both. With Arketa, studios can manage schedules, accept bookings and payments, build on-demand video libraries, host retreats, run automated marketing, and launch fully branded apps and websites. We make it simple for founders to deliver a seamless, professional experience across every customer touchpoint. We've raised $15M in Series A funding and are growing quickly. It's a unique moment to join us. We're building a category-defining company in a fast-moving space, and we're looking for a leader who is excited to help shape what world-class partner support looks like in the wellness category.
🎯 The Role
This is a product engineering role first. Internal tooling and developer experience are how you multiply the team, not the destination. Our customers are small business owners whose livelihoods depend on what you ship, so the feedback loop is short and the stakes are real. This is a permanent individual contributor role. There is no management track, by design. This role is remote based out of the U.S.
✅ Key Responsibilities
Build AI products that let studio operators automate their operations so they can focus on the parts of their business they're most passionate about
Build agentic loops that improve the product, our codebase, our internal systems, and our ability to deliver for customers
Position us to get the most out of AI models as they continue to improve
Simplify our infrastructure and operations to make both our human and agent engineers faster
Improve our operational rigor and automated safety nets: detecting, alerting on, and responding to issues in production
Work across the stack (TypeScript, Node, NestJS, React, Postgres) to ship features and improvements daily
Mentor mid and junior engineers, and partner with engineering leadership to establish patterns the whole team adopts
Be accountable not just for your own output, but for how you help the team deliver more
📌 Required Qualifications
8+ years of software engineering experience in most cases, though we care more about evidence than years
Full-stack contributor. Deep expertise somewhere is great, but everyone here contributes across the stack. If you only want to work in one layer, this isn't the role
A JavaScript and TypeScript background. You can come from an adjacent ecosystem, but you should be fluent and happy in JS/TS
AI-native. You actively use AI tooling in your daily work and you build agentic workflows, evals, and automation into how your team operates. Not just coding assistants
Scope of impact beyond a single team. You've influenced how engineering works at an org of roughly 20+ engineers, not just shipped well within your own squad
A track record of leading successful migrations
Experience designing systems for reliability: observability, alerting, incident response
A history of influencing beyond your own work, including setting technical direction, establishing patterns others adopt, and raising the bar through code review, pairing, and mentorship
Strong product judgment: you can take an ambiguous customer problem, scope it pragmatically, and ship in small increments
Comfort operating with high autonomy and low process, creating the right amount of structure rather than waiting for it
⭐ Desirable Experience
You care about wellness and fitness personally
You've built for entrepreneurs or small business owners before, or perhaps you’ve been one yourself
You’ve spent time both within a larger, established engineering org and within a startup environment
