Senior Content Strategist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Content Strategist (AI): Creating high-signal technical content, guides, and tutorials for an AI observability platform with an accent on LLM evaluation, observability, and agent workflows. Focus on extracting real-world engineering workflows from SMEs and translating complex AI systems into actionable developer content.
Location: Remote
Salary: $160,000–$190,000 plus equity
Company
is a Series C observability and evaluation platform for AI and Agent Engineering, used by Fortune 500 companies to monitor and optimize AI systems.
What you will do
- Produce high-quality technical deep dives, guides, and system-level explainers on evals, agents, and observability.
- Interview engineers, researchers, and customers to extract real-world workflows and turn them into structured content.
- Define and execute a content strategy by identifying and addressing gaps in developer knowledge.
- Implement AI-native workflows to accelerate writing, editing, and research velocity.
- Partner with Product, DevRel, and Marketing to align content with upcoming product releases.
Requirements
- Strong technical background in software engineering and AI/LLM application development.
- Proven experience creating technical content such as blogs, guides, or documentation.
- Ability to interview subject matter experts and extract high-signal information.
- Operator mindset with the ability to think strategically and execute tactically in a fast-paced environment.
- Proficiency in using AI tools in a day-to-day professional workflow.
Nice to have
- Experience building with LLM-based systems (RAG, agents, eval frameworks).
- Previous experience writing developer documentation or tutorials.
- Background that spans both technical development and editorial/journalism.
Culture & Benefits
- Competitive salary and a generous equity package.
- Opportunity to work at the center of the AI engineering ecosystem with high ownership.
- Fast-paced environment with direct impact on how AI systems are evaluated.
- Inclusive culture with diversity initiatives and active subgroups like Lady Arizers.
- Regular engagement with industry experts, researchers, and AI ethicists.
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