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DatologyAI has built a state-of-the-art data curation suite that automatically optimizes petabytes of data for AI model training. The company has raised $57.5M from top-tier investors including Felicis Ventures, Radical Ventures, Microsoft, Amazon, and AI pioneers like Geoff Hinton and Yann LeCun. Their research demonstrates that training on curated data can reduce training time by 7-40x, improve model performance as if trained on 10x more raw data, and enable smaller models to outperform larger ones with significantly lower inference costs.
In this role, you'll be the expert communicating DatologyAI's research and product to the AI community, primarily on X (Twitter). You'll transform technical research into compelling narratives, demos, threads, and videos that resonate with engineers and researchers. Your responsibilities include building and maintaining DatologyAI's recognizable voice on X, running day-to-day community engagement, enabling founders and researchers to communicate authentically in their own voices, owning end-to-end research launches, building relationships with key community members, and creating a feedback loop between community insights and product development.
You'll work at the intersection of engineering and media—reading research results, understanding their significance, and creating demos or technical threads that earn respect from sophisticated technical audiences. You'll participate authentically in real-time conversations, experiment with different content formats, measure what drives engagement and trust, and build the playbook as you operate it. The role requires technical legitimacy (you can build and explain AI systems), native fluency on X with genuine participation beyond broadcasting, creator instincts for hooks and distribution, and a startup mindset comfortable with ambiguity and ownership. The position is based in Redwood City with 4 days per week in office.
