faros-ai - Technical Content Lead
Requirements
• 6+ years in content, editorial, or research roles for a technical audience, with real ownership of what got published • You've shipped a research report or benchmark study with your name on it • Experience at early-stage startups where you were the marketing infrastructure. Self-sufficient, resourceful, and able to ship without a team behind you • You have fluency with data. You can interrogate a dataset with the people who built it, spot the finding worth leading with, and know when a cut of the numbers is misleading • Strong, fast writing in an engineer's register; writing samples required • You've owned a content program, not a queue: strategy, calendar, and the judgment about what not to publish • You can connect content to revenue: you've defined what success looks like and answered for it • A background in software engineering, data analysis, or data journalism • Video skills, from scripting to producing short-form for technical audiences • Familiarity with the engineering leadership space: DORA, developer productivity, AI-assisted development • You use AI in your own research and writing workflow and have opinions about where it breaks
Responsibilities
• Own the strategy and roadmap for our content: what we publish, when, and how the portfolio compounds over time • Build a collection of data-driven reports, starting from our AI Engineering report, and own each one from concept and methodology through writing and launch • Partner with our engineering and data teams to find the stories in the data and land claims that survive a technical audience • Run the content calendar around each report: the findings, charts, and short-form pieces built to be cited by people and AI engines • Write the editorial pieces that give Faros a point of view: field guides, frameworks, and arguments the market doesn't have yet, gated where they fuel demand gen • Define how content attaches to pipeline, and own that scorecard with demand gen and marketing ops • Hold the line on how Faros writes about data: precise, quantified, engineer-to-engineer • Quality over volume. You'd rather publish one report people cite for a year than twelve posts people skim. You notice the weak claim and cut it before anyone else sees it. • Ownership over process. If it has a number in it and the Faros name on it, you've checked the number. You don't wait for a brief to kill a finding that doesn't hold up. • Transformational over predictable. The data can support safe observations or claims nobody has made yet. You look for the second kind and do the work to earn them. • Intensity over comfort. Your findings go in front of buyers, press, and skeptical engineers who will check your math. You like that. • Living by our values over avoiding conflict. When the data says something inconvenient, you say it. You'd rather lose an argument than publish something soft.
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