Head of Content - vaga remota

A empresa ZenRows está com uma vaga aberta de Head of Content: nível de liderança, com responsabilidade sobre uma equipe ou sobre uma área inteira. A posição fica na área de Conteúdo e tradução e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

O anúncio destaca SEO, então a experiência com essa ferramenta é o que vai pesar.

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Remote | Full-time Born in the Basque Country and built for the world, Zenrows is one of the fastest-growing data infrastructure startups in Europe. We work 100% remotely and hire the best people regardless of where they are. Founded in 2021, we started as a scraping API for developers. In 2026, we are evolving into something bigger: the data collection infrastructure layer for the AI era . Thousands of companies across e-commerce, finance, real estate, and AI rely on Zenrows to power their data pipelines. Now, we're building for the next generation of users: workflow builders, AI engineers, and business teams who don't write code but need data to flow reliably through their systems. We're looking for a Head of Organic Growth to own how Zenrows is discovered, understood, and trusted across LLMs, developer communities, integration ecosystems, and the open web. The Role The way developers and technical teams discover tools has fundamentally changed. Google search is no longer the only, or even the primary surface. Developers ask ChatGPT. Business users ask Gemini. AI engineers search Perplexity. Workflows are built inside Clay, n8n, and Make, where discovery happens through directories, templates, and community recommendations. Your job is to make Zenrows the trusted, cited, recommended answer across all of these surfaces, not just in Google's top 10. You'll work closely with Product, Sales, and the GTM Engineer to ensure content is a genuine growth engine, not a support function. What You'll Own 🔍 AEO, GEO & Discoverability Strategy This is the core of the role.

* Own Zenrows' Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy: ensuring we are the cited, recommended answer when developers and AI engineers ask about web scraping, data collection, workflow automation, and data pipelines

* Understand how LLMs (ChatGPT, Gemini, Claude, Perplexity) surface and prioritize content, and build a strategy around it

* Develop structured, citation-friendly content formats: comparison pages, definitional guides, integration explainers, and technical FAQs that earn LLM citations

* Own competitive intelligence: track how competitors are being cited, recommended, and positioned in AI search

📊 SEO Strategy & Content Operations

* Own Zenrows' organic search strategy end-to-end : keyword research, topic prioritization, content gap analysis, and competitive benchmarking, with a clear view of where SEO still drives meaningful pipeline and where it doesn't

* Lead content operations : manage the editorial calendar, maintain publishing velocity, and ensure quality standards across in-house writers, freelancers, and external agencies

* Manage, and develop a team of technical writers and editors , setting clear briefs, review processes, and feedback loops that raise the floor on content quality without creating bottlenecks

* Own the relationship with external content agencies : briefing, quality control, performance review, and deciding what stays in-house versus what gets outsourced

* Develop and maintain off-page SEO strategy : link acquisition, guest publishing, and building the kind of third-party authority signals that reinforce Zenrows' position in both traditional search and LLM training corpora

* Work closely with Engineering on technical SEO : site architecture, crawlability, Core Web Vitals, structured data markup, and indexing health, you won't do this alone, but you'll own the roadmap and hold the team accountable

* Maintain a content performance framework : define and track the metrics that matter (organic traffic, keyword rankings, assisted conversions, LLM citation frequency) and use them to make prioritization decisions, not just report on them

* Continuously audit the existing content library for decay, cannibalization, and coverage gaps , and make the hard calls about what gets updated, consolidated, or cut

🧑‍💻 Developer Education & Docs-as-Marketing

* Turn Zenrows' documentation into a top-of-funnel acquisition channel . Think Stripe's docs: content that ranks, educates, and converts, not marketing fluff disguised as technical writing

* Build actionable, developer-focused resources: integration tutorials, use-case walkthroughs, SDK examples, and migration guides

* Create content specifically for the AI/LLM data pipeline audience : tutorials on using Zenrows for RAG pipelines, AI agents, training data collection, MCP server integrations, and agentic workflows

* Collaborate with Engineering and Product to ensure documentation is accurate and genuinely useful

* Partner with DevRel to amplify technical content across developer communities

🔗 Ecosystem & Integration Content This is new territory for Zenrows, and one of the highest-leverage content surfaces in 2026.

* Build and maintain a library of integration content : how Zenrows works inside Clay, n8n, Make, Zapier, LangChain, LlamaIndex, and other workflow and AI platforms

* Create content that earns Zenrows a presence in integration marketplaces and community directories , not just Google

* Partner with the Partnerships Manager on co-marketing content: joint guides, partner-specific tutorials, template libraries

* Develop content that serves workflow builders and automation teams: non-developer technical users building workflows and automation without writing code

📈 PLG Content & Activation

* Build a content-led activation flywheel: blog post attracts developer → documentation helps them succeed → integration guide shows them what's possible → usage converts to paid

* Partner with Product and Growth on in-app content, onboarding flows, and activation-focused tutorials

* Own the content layer of the trial-to-paid conversion journey

🤝 Sales Enablement & Enterprise Content

* Support Sales with high-impact materials: competitive battle cards, use-case one-pagers, ROI narratives, and case studies

* Develop positioning content for workflow builders and automation teams, as well as business users who interact with data through AI tools and LLM interfaces

* Build and maintain a lean, current library of sales enablement assets, prioritize quality and relevance over volume

👥 Team Leadership

* Lead, mentor, and develop the existing content team

* Define and maintain editorial standards and brand voice across all content types

* Build a culture of experimentation and outcome orientation, not content volume

* Scale through leverage: AI-assisted workflows, freelance network, and smart prioritization

The Person We're looking for someone who thinks in distribution systems , not publishing calendars. Required

* 5+ years in content, growth, or developer marketing, ideally at a B2B SaaS, API, or developer infrastructure company

* Deep understanding of AEO and GEO : you know how LLMs source and surface answers, and you've thought about what it means for content strategy

* Technical fluency in developer tools, APIs, or adjacent infrastructure. You don't need to be an engineer, but you need to be able to write or edit a Python snippet, understand what a headless browser does, and explain a web scraping use case to a non-technical audience

* Proven experience building content for both self-serve/PLG and integration-led or enterprise motions

* Strong editorial judgment, you can tell the difference between content that educates and content that fills a calendar

* Experience building and maintaining integration or ecosystem content : tutorials, partner guides, marketplace presence

* Comfortable operating in a fast-moving, autonomous environment without heavy process

* Fluent in English (we are an English-first organization)

Strong Advantage

* Experience with workflow automation platforms (Clay, n8n, Make, Zapier) from a content or product perspective

* Familiarity with the LLM/AI agent ecosystem : LangChain, LlamaIndex, CrewAI, RAG architectures…