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Mindee is seeking a Technical Content Lead to bridge Product and Marketing, owning developer documentation and the developer experience. You will craft guides, tutorials, benchmarks, and SDK samples, and represent Mindee at events and in communities.
You will collaborate with Engineering to ensure accuracy and with Marketing to drive organic reach with technical content. 3+ years in developer relations or technical writing is preferred.
You own everything a technical builder reads or watches about Mindee outside the product UI: API reference, guides, SDK docs, tutorials, sample projects, videos, changelog, and technical talks. You also own how that content is consumed by machines: AI coding agents, our in-product assistant, and no-code platforms. You are the single owner of technical content quality, freshness and machine-readability.
The position sits between Product and Marketing and carries objectives from both. You report to Product so you sit next to the roadmap and know what ships before it ships. You work daily with Marketing on distribution and with Engineering on accuracy.
Produce technical content that developers actually search for and share: guides, comparisons, benchmarks, integration tutorials, open-source contributions around docTR
Represent Mindee at meetups and conferences, and on developer-oriented channels (YouTube, podcasts, communities)
Turn product releases into technical narratives that reach the right audience
Own the first-hour experience: quickstarts, SDK setup, sample repos, first-call-to-production paths for each major use case
Measure where new users get stuck and fix it with content or product feedback
Maintain a library of ready-to-run examples across our SDKs and no-code integrations
Document advanced capabilities so existing users go deeper: validation rules, enrichment, environments, fraud detection, and whatever ships next
Produce release-driven content (changelog, migration guides, “what’s new” videos) that keeps active accounts current
Feed the in-product assistant with accurate, structured documentation it can rely on
Make Mindee the easiest document API for an AI agent to integrate: llms.txt, MCP server documentation, self-contained copy-paste examples, structured schemas, ready-to-use agent skills and prompts
Own the integration experience on no-code and automation platforms (n8n, Make, Zapier and equivalents): templates, guides, listings
Run the loop: watch how humans and agents actually integrate Mindee, find the friction, fix it with content or elevate it to Product as a DX issue
Every piece of technical content is accurate against the current product, or it is removed
Build the process for this: docs reviewed at feature spec time, updated at release, audited on a schedule
Define and track the metrics: docs coverage, time-to-first-call (human and agent-assisted), support tickets caused by documentation gaps, content-attributed signups and activations
From Product:
Time-to-first-successful-API-call for new signups, including integrations done through AI coding agents
Share of features shipped with complete documentation at release
Reduction in support and sales-engineering load attributable to documentation
From Marketing:
Organic traffic and signups from technical content
Reach and engagement of technical videos, talks and community presence
Mindee’s presence and accuracy in the answers AI assistants give about document extraction
Content-attributed activation and expansion
You own a function, not a queue of tickets. The scope is yours to define and defend
Direct line to the roadmap and to the people who build the product
A real technical audience with an existing community
A company that runs on product-led growth, where your work shows up in the numbers
Required:You have shipped code and integrated third-party APIs. You can read our SDKs, run our examples and spot when something is wrong before a user doesYou write clearly for a technical audience in English. Concise, precise, no marketing fillerYou use AI coding agents daily and understand what makes documentation work or fail when an LLM is the readerYou have produced technical content: documentation sites, tutorials, videos, or talks, with an audience to show for itYou are comfortable on camera and on stage, or willing to become so quicklyYou are organized enough to own a content system, not just individual pieces: backlog, review process, freshness auditsExperience>3yStrong plus:Experience at an API-first or developer-tool company with a self-serve motionBackground in developer relations, technical writing, developer education or technical product marketingFamiliarity with document AI, OCR, LLM-based extraction or adjacent ML toolingExperience with no-code/automation platforms or with building MCP servers, agent skills or similarContributions to open-source projectsFrench is a plus, not a requirement