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Role Description

We’re seeking a Content Engineer to own the technical foundation that makes our content findable, structured, and citable across AI-driven platforms. This role bridges marketing and engineering, ensuring that our content infrastructure is scalable, reliable, and optimized for AI-driven discovery.

• Maintain and optimize our AI content infrastructure, including JSONL feeds, chunking strategy, vector databases, and public APIs.
• Design scalable workflows to analyze and process large sets of URLs efficiently (batch and incremental approaches).
• Balance cost, performance, and quality when working with LLM and API-based systems.
• Ensure systems are reliable, versioned, and reproducible.
• Partner with the AEO Content Lead to audit and refine content quality for LLM extraction.
• Maintain and evolve our entity taxonomy and structured data strategy.
• Design extractable content formats across different asset types.
• Support analysis of content overlap and consolidation opportunities using structured methods.
• Contribute to the design and orchestration of multi-step content workflows (e.g., ingestion, parsing, extraction, scoring).
• Implement safeguards to prevent duplicate processing and ensure consistent outputs.
• Maintain documentation, logs, and auditability of scoring logic and entity definitions.
• Monitor feed freshness, embedding quality, API availability, and system performance.
• Track LLM citation behavior and surface content gaps or optimization opportunities.
• Support structured experimentation to understand performance changes over time.
• Collaborate with SEO, analytics, and product marketing to align reporting and insights.

Qualifications

• 3+ years in a technical role bridging content and engineering (e.g., SEO Engineer, Growth Engineer, Content Systems Engineer).
• Proficiency with APIs and data formats (JSONL, REST, webhooks).
• Experience with vector databases and embeddings (e.g., Pinecone, Weaviate, Chroma).
• Scripting ability in Python or JavaScript.
• Solid understanding of schema.org and structured data principles.
• Experience working with data analysis tools (SQL, GA4, Looker, or similar).
• Familiarity with workflow orchestration tools or equivalent programmatic workflow design.
• (Nice-to-have) Experience with LLM APIs (OpenAI, Anthropic, Perplexity).
• (Nice-to-have) Familiarity with healthcare compliance (HIPAA).

Requirements

• Content systems are consistently operational and reliable across target AI platforms.
• Structured workflows are in place for processing, monitoring, and optimizing content feeds.
• Clear visibility into citation performance and content gaps.
• Scalable processes that support long-term AI-first content strategy.

Benefits

• Work from anywhere
• Flexible hours
• Paid time off + holidays
• Team offsites
• Subsidised Health insurance

Company Description

Mozaiq is a fully remote team with roots in the US and Eastern Europe. We build powerful, cross-functional teams that support some of the most sophisticated tech and marketing organizations in the world.

• Global Family: A tight-knit, multicultural, remote-first team
• Meaningful Work: Support world-class brands and products
• Inclusive Culture: We prioritize collaboration, clarity, and growth