Why Mintlify?

We're on a mission to empower builders.

Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 20,000+ companies, including Anthropic, Microsoft, PayPal, Spotify, Coinbase, X, and over 20% of the last YC batch.
Small team, huge impact: We recently passed 65 employees and raised a $45 million Series B led by A16Z and Salesforce Ventures. Each new hire has a huge impact on shaping the company's trajectory.
Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.

We grew in value faster than headcount and we’re looking to align the two quickly.

What you'll work on here

Responding to product and technical questions through our support inbox with speed, precision, and care
Partnering with engineering to investigate, resolve, and ship fixes directly - your job isn't to escalate issues, it's to close them
Opening PRs in production codebases to patch bugs, address edge cases, and improve behavior at the source - because the best support ticket is one that never gets filed again
Building AI-powered agents, automations, and internal tooling that help the team resolve issues faster and stop them from recurring
Identifying patterns across support cases and translating them into clear, actionable signals for engineering and product
Responding to product and technical questions through our support inbox with speed, precision, and care

You genuinely enjoy the customer-facing side of technical work and your engineering background is what lets you support customers most effectively
Strong engineering foundation - CS degree or engineering experience, demonstrated through shipped projects and real GitHub activity
Has directly owned a customer relationship or support queue - not just contributed to one
Some experience in a technical support or developer-facing role is a plus, this role works for a strong new grad or someone with a few years under their belt
Ability to diagnose and resolve technical issues end-to-end, independently
Exposure to AI tooling, automations, or LLM-based workflows - you've built something with them, not just used them
Exceptional written communication - your messages are friendly, precise, and professional; customers feel genuinely heard and helped, not just responded to
A builder mindset - you see a manual process and feel compelled to automate it; you'd rather spend an hour building something that saves ten than do the same task twice