M

Mintlify

Platform for building interactive public docs

Head of Technical Support

Full-TimeUpdated on 10/15/2026
$185k - $225k/yr+ Equity
Expert
San Francisco, CA, USA
In PersonFive days a week in the San Francisco office.
Customer Experience & SupportCustomer Support
Company Does Not Provide H1B Sponsorship

About the job

Requirements
  • At least 4 years of experience in technical support, support engineering, or a similar customer-facing technical role, including at least 1 year managing a team.
  • Experience leading support at a high-growth developer-tools or developer-focused company.
  • Strong fluency in documentation and developer tooling, including Git and GitHub workflows, CI/CD, Markdown/MDX, static sites, APIs and OpenAPI specifications, DNS, and hosting.
  • Ability to reproduce technical issues, read logs and configuration, and explain root causes to engineers or customers.
  • Experience deploying AI in a support organization, such as agents, deflection, or AI-assisted workflows, and demonstrating its impact with metrics.
  • Experience defining SLAs, building dashboards, reporting metrics to leadership, and forecasting volume and headcount.
  • Ability to work from the San Francisco office five days a week.
Responsibilities
  • Define and run tiered SLAs, priority levels, and escalation paths for enterprise customers.
  • Own critical escalations end-to-end, including communication with customer engineering leaders and executives.
  • Partner with Sales, Solutions, and Customer Success on onboarding, renewals, and at-risk accounts.
  • Handle technical questions in security reviews and complex setups such as SSO, custom domains, and CI/CD integrations.
  • Deploy and tune AI agents to deflect and resolve common questions, and measure their resolution rate.
  • Build internal tools, scripts, and workflows to reduce handling time and repeat work.
  • Turn recurring tickets into documentation, product fixes, or automations.
  • Own bug triage by establishing clear reproductions, severity, and routing to the appropriate team.
  • Bring ticket data into roadmap discussions to help prioritize fixes for painful issues.
  • Run incident communications with customers alongside Engineering.
  • Establish and report weekly metrics, including first response, time to resolution, CSAT, backlog, escalation rate, and AI resolution rate.
  • Forecast support volume and headcount as the customer base grows.
  • Hire, coach, and level support engineers; build career paths and a quality-assurance process.
  • Set coverage and on-call arrangements to meet enterprise SLAs.
  • Work tickets and escalations directly, meet the team and key enterprise customers, and establish baseline support metrics.
  • Define and launch enterprise SLAs and escalation paths, run weekly metrics reviews, and develop a plan for AI deflection and team growth.
  • Ensure enterprise SLAs are consistently met, AI resolves a measured and growing share of inbound volume, and bug triage with Engineering follows a clear cadence.
  • Scale support with the customer base, establish clear team levels and career paths, and ensure support data shapes the product roadmap.
Desired Qualifications
  • Experience using Mintlify or another documentation platform as a customer or team member.
  • Experience building a support function from zero at an early-stage startup.
  • Ability to write code, such as JavaScript or TypeScript, to build internal tools and scripts.
  • Experience with enterprise requirements such as SSO/SAML, security reviews, and custom domains.
  • Familiarity with how LLM-based products work, including retrieval, prompting, and evaluations.

About the company

M

Mintlify

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Mintlify builds a platform for creating and maintaining engaging, public-facing documentation for businesses. It provides an easy-to-use editor, hosting, and an AI-powered chat feature (GPT-4) that answers questions using the client’s APIs, making the docs interactive and capable of converting readers into customers. The editing workflow is integrated into the client’s environment, enabling seamless updates, while built-in analytics show what users view and where they convert, helping identify sales prospects. The platform differentiates itself by tightly integrating API-driven, interactive documentation with a seamless workflow and analytics focus, aimed at driving user engagement and conversions. The company’s goal is to help businesses turn documentation into a customer acquisition and onboarding tool through accessible, engaging content and data-driven insights.

Company Size

51-200

Company Stage

Series B

Total Funding

$66.4M

Headquarters

San Francisco, California

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • Mintlify raised $45 million on April 14, 2026, at a $500 million valuation.
  • The company now serves over 20,000 companies and reaches more than 100 million people yearly.
  • September 2026 job postings for Applied AI, People, and Sales signal aggressive scaling.

What critics are saying

  • Atlassian, ReadMe, and GitBook can bundle similar docs-AI features and compress pricing.
  • If customer docs stay stale, AI answers degrade instantly, causing enterprise churn within quarters.
  • Mintlify's acquisition-heavy expansion risks integration drag and distraction from core documentation reliability.

What makes Mintlify unique

  • Mintlify Index turns 9,000 docs sites into an AI retrieval network, launched August 2026.
  • Mintlify combines docs, MCP tools, assistant, workflows, and analytics in one platform.
  • Helicone and Trieve acquisitions deepen observability and retrieval across Mintlify's knowledge stack.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Company Equity
  • Flexible Work Hours
  • Paid Vacation
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

5%

2 year growth

9%
Mintlify
Sep 24th, 2026
Meet Mintlify Desktop.

Meet Mintlify Desktop. 2 minutes read Justin Torre Engineering Manager Today, Mintlify is introducing Mintlify Desktop, a dedicated app for writing and managing documentation, from the internal knowledge your team relies on to the public docs your customers read. It brings the Mintlify editor to your desktop, with the workflows you already use on the web. Mintlify Desktop is available in beta for Mac, Windows, and Linux. Documentation work rarely happens on one page. You move between internal drafts, runbooks, public projects, and pull requests throughout the day. In a browser full of tabs, finding the right editor page becomes another step in the work. Mintlify Desktop gives your docs a home of their own. Open pages in tabs, arrange them horizontally or vertically, and use separate windows for different work. Your tabs return when you reopen the app, so you can pick up where you left off. Each tab keeps its own session, too. Switch organizations in one tab and the others stay put. You can move between internal and public projects without repeatedly navigating back to the page you need. Your files live on your machine, so a flight or a spotty connection doesn't stop you. Edit offline, and your changes sync when you're back online. Mintlify has also improved collaboration in both Mintlify Desktop and the web editor. When teammates work on the same page at the same time, you now get more visibility into what's happening, whether someone is in the visual editor or in source mode writing Markdown. That makes it easier to work together without stepping on each other's changes. Desktop reuses your saved sessions and keeps caches between launches, so your projects open without a fresh load. It also keeps a tab ready for the site you're working in, so most new tabs open instantly. Mintlify Desktop is still early. Mintlify is refining the interface, sign-in flow, and performance as more people use it.

Mintlify
Aug 6th, 2026
Introducing Mintlify Index.

Introducing Mintlify Index. 2 minutes read Mintlify Index aggregates the docs of 9000 Mintlify-powered documentation sites into a natural language retrieval layer for coding agents. * Queries that reference docs in the Mintlify-powered ecosystem, which then undergo an internally optimized retrieval process. * All other queries, which are routed to a standard external provider. Developer gives an agent an implementation task | Agent calls search or context | Mintlify Index routes each query | product in Mintlify's hosted corpus | all public Mintlify-powered docs | other query | web search | Index returns ranked sources or token-budgeted context | Agent can call contents to inspect a selected source | Agent uses the evidence to answer or plan the change Each search or context request routes the query to a retrieval source. Queries about products in Mintlify's hosted corpus use eligible public documentation when those docs are likely to answer the request. Other queries route to a leading third party web search tool. If the selected source fails or returns no results, Index will also fall back to the other. An agent can retrieve evidence in two ways. Context returns an assembled, token-budgeted bundle of ranked excerpts and source URLs. For more control, search returns ranked source metadata and optional matching text. The agent can then pass a Mintlify URL or document ID to contents to retrieve the selected page. With a follow-up query and length limit, contents can return the most relevant section. Index supplies the evidence, afterwhich the agent remains responsible for producing and validating the answer or implementation. Mintlify then ran an experiment comparing Mintlify Index with Context7, a popular docs-retrieval service for coding agents. Across 150 implementation-planning tasks on 50 products hosted on Mintlify, a blinded pairwise judge preferred the plans produced with Mintlify Index in 96 tasks, nearly two-thirds. Not only did the Mintlify Index group produce higher-quality results, but they also completed tasks 48% faster end-to-end, with 10% higher factual correctness, 10% better citation support, and 17% fewer critical errors. In pursuit of its mission to optimize the interaction between agents and knowledge, this experiment showed Mintlify the potential benefits of a customized retrieval system only made possible by the ecosystem of Mintlify docs. Mintlify is launching a beta version of Mintlify Index today, free to use for everyone.

Intellectia AI
Apr 15th, 2026
Mintlify raises $45M at $500M valuation for AI-powered software documentation tools

Mintlify has raised $45 million in a Series B round led by a16z and Salesforce Ventures, valuing the company at $500 million. The startup provides AI-powered tools that help businesses generate and maintain software documentation, including FAQs and user guides. Mintlify currently serves approximately 20,000 companies using its AI system for documentation purposes. The funding underscores growing investor interest in AI technologies for software documentation, a sector increasingly reliant on automation to streamline technical writing and maintenance processes.

Forbes
Apr 14th, 2026
Anthropic Uses This Startup’s AI To Answer People’s Questions About Claude Code

It’s just one of 20,000 companies that use Mintlify’s AI system to generate and maintain FAQs and user guides about their software products.

Mintlify
Apr 14th, 2026
Mintlify raises $45M Series B led by Andreessen Horowitz and Salesforce Ventures.

Mintlify raises $45M Series B led by Andreessen Horowitz and Salesforce Ventures. April 14, 2026 Mintlify raised an $45M Series B round led by Andreessen Horowitz, bringing its total funding to $67M to accelerate its mission of building the knowledge infrastructure for AI. Mintlify, Inc. is excited to share that Mintlify has raised a $45M Series B at a $500M valuation, led by a16z and Salesforce Ventures, with participation from Bain Capital Ventures, Y Combinator, DST Global, MVP Ventures, Avra, HubSpot Ventures, and TwentyTwo Ventures. Mintlify now powers documentation for over 20,000 companies, with content reaching more than 100 million people every year. This round accelerates its mission to become the knowledge layer that makes products understandable, usable and discoverable by AI agents. I want to share a bit about how Mintlify, Inc. got here, what's changed, and where Mintlify, Inc. is going. When Hahnbee and I started Mintlify in 2022, it was on a very simple mission: empower builders and make it effortless for developers to understand how software works. Mintlify, Inc. is developers ourselves, and Mintlify, Inc. has always believed that giving people the right technical knowledge leads to products that change the world. Mintlify, Inc. embarked on improving developer documentation because it was a core problem Mintlify, Inc. understood deeply. Mintlify, Inc. were the developers at 2am trying to integrate an API, piecing together answers from a stale README and a GitHub issue from three years ago. Documentation was everywhere, and it was broken almost everywhere too. Mintlify, Inc. went through Y Combinator's W22 batch, obsessed over the space, and built what became the documentation platform that thousands of companies rely on today. For a while, that felt like the whole story: make docs beautiful, make them fast, make them actually useful. Then the world changed with AI. Since Mintlify, Inc. started, the role of documentation has shifted more dramatically than Mintlify, Inc. ever expected. Documentation used to be written for humans scanning a page: someone looking for a quick answer, a code snippet, a guide to get unblocked. That's still true, but it's no longer the full picture. Today, nearly 50% of traffic to documentation comes from AI agents and AI-assisted workflows and that number is only going up. This changes what documentation needs to be. AI agents don't learn about your product from your marketing site. Marketing pages are designed to evoke human emotion, but they tell you very little about how a product actually works. When an AI agent needs to understand what your product does, how to use it, and how to interact with it, it goes to your docs. Your documentation is now your product's interface to AI and a system of record that agents rely on to take action. If it's incomplete, inaccurate, or poorly structured, your product can become invisible to AI entirely. And the stakes go beyond discovery. When a company builds agents on top of knowledge that's scattered, outdated, or inconsistent, those agents give wrong answers. Mintlify, Inc. has seen it firsthand: a company changes its pricing, the help center doesn't get updated, and every support agent built on that content starts telling customers the wrong thing. The problem is the knowledge layer underneath the model. This is the critical shift: documentation is no longer just content. It's infrastructure. Every company will need a reliable, structured and continuously updated knowledge layer to compete in an AI-native world. The companies that invest in this layer will have a compounding advantage as AI-native workflows become the default. The ones that don't will find it very hard to catch up. This isn't a theoretical bet for Mintlify, Inc.. Mintlify, Inc. has been building toward knowledge infrastructure for a while now, and its customers have been pulling Mintlify, Inc. in this direction just as fast. It started with the public-facing documentation that Mintlify has always been known for. But increasingly, its customers are bringing Mintlify, Inc. into their organizations. They're using Mintlify to power their internal knowledge bases, engineering handbooks, design systems, internal best practices, because they realized the same thing that works for external developer docs works for the AI-powered tools and agents that all teams depend on. If you want your internal agents to give accurate answers, you need the knowledge they're built on to be maintained, structured, and connected. In other words, AI systems are only as good as the knowledge they're built on, and most companies are not ready, as their knowledge today is fragmented and unreliable. On the product side, everything Mintlify, Inc. is building is designed around the idea that your docs are now the interface to every AI agent in the world, and their content has to be accurate. * Workflows: Always-on doc automation keeps content accurate * MCP support: Connect your knowledge directly to external agents * AI agent: Write and update new content based on your prompts With integrations across codebases, project management platforms, the other tools companies already use, Mintlify fits into your existing workflows and becomes the layer that organizes, maintains and serves knowledge across your company. The goal is straightforward: if an AI agent needs to understand your company, your product, or how anything in your organization works, that information should be accurate, structured, and available. That's the infrastructure Mintlify, Inc. is building. Mintlify, Inc. believe this is a once in a decade shift in how software will be built, and Mintlify, Inc. is scaling aggressively. Mintlify, Inc. is hiring across engineering, sales, marketing, and more. Mintlify, Inc. is fully in-person in San Francisco, and Mintlify, Inc. is looking for people who want to build the AI knowledge infrastructure layer with Mintlify, Inc.. If you've read this far and you want to define a new category at the center of the AI stack, Mintlify, Inc.'d love to hear from you. Check out its open roles at mintlify.com/careers. To its customers, the 20,000+ companies that trust Mintlify to be the front door to their products, thank you. You're the reason Mintlify, Inc. get to do this. Every time Mintlify, Inc. hear that Mintlify changed how developers experience a product, it reminds Mintlify, Inc. why Mintlify, Inc. started. To its team, thank you for building something that reaches 100 million developers a year and for caring as much as you do about getting the details right. Co-Founder