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
• What We Value 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.

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

Preferred

• 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