Note: The job is a remote job and is open to candidates in USA. Faros is a company that provides engineering leaders with visibility and control to maximize AI engineering outcomes. The Technical Content Lead will be responsible for creating demand through high-quality content, including reports and guides, specifically targeting a technical audience such as VPs of Engineering and CTOs.
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
Skills
- 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
Benefits
- REMOTE work model
Company Overview