We9re hiring a software engineer to build the internal tools that run PlanetScale. You9ll report directly to our SVP of Engineering. You9ll automate the manual work that slows a growing company down: incident response, on-call, support workflows, onboarding, and the dozens of other small things that take up our time. This is an in-office role. You9ll work from our San Francisco headquarters most days a week. What You9ll Do • Build AI-enabled tools and agents that automate manual work across engineering, support, and operations • Write bots and integrations for Slack, PagerDuty, and the other systems we run the business on • Build internal dashboards that give the team visibility into what9s actually happening • Integrate LLM APIs and AI coding tools directly into the internal systems you build • Ship small, useful things fast. Iterate based on what people need • Work directly with senior engineers and leadership to find friction and fix it • Own your projects end to end: design, build, ship, support For example, you might: • Automate our incident response process • Build automations for customer support • Build internal dashboards that measure our service quality What We9re Looking For Required: • 0-2 years of professional software engineering experience, or equivalent project or internship work • Solid fundamentals in at least one of TypeScript, Ruby, or Go • Comfortable building with AI coding tools and LLM APIs. This role is AI-enabled work, not just AI-assisted • Comfort writing scripts, small services, or automations that solve a real problem • Clear written communication • Willing and able to work in person from our San Francisco office Nice to Have: • Experience with Slack9s API, GitHub Actions, or similar automation platforms • Exposure to Terraform or Kubernetes • A side project, bot, or tool you built to automate something in your own life About You You fix the annoying thing to save time. You9d rather ship something small this week than plan something big for next quarter. You ask good questions, take feedback well, and want to learn from engineers more senior than you. You want to be in the room with your team, not on a call. You9re excited about AI tools not just to write code faster, but to design and ship whole systems. Total Compensation and Pay Transparency An employee9s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $160,000 USD