About Synscribe

Synscribe is rewriting SEO landscape by building AI agents that replace traditional SEO agencies, not just tools. While we position ourselves as an "SEO agency" to our customers, behind the scenes we're a AI company developing agentic systems that deliver unprecedented results for high-growth B2B startups.

Our platform enables content creation that ranks in both traditional search (Google) and AI search (ChatGPT), delivering qualified leads to our clients in as little as three days after publishing. We've achieved 2-4x higher conversion rates compared to traditional methods, while being 10x more efficient than conventional agencies.

Learn more about a career at Synscribe

The Role

As our software engineer, you'll be at the forefront of building the next generation of AI-powered tools and agents that form our platform. You'll work directly with the founder to shape both our product and our engineering culture.

You'll be working on cutting-edge AI agent systems that plan, execute, evaluate, and improve autonomously while maintaining high-quality output at scale.

What You'll Do

• Design and build agentic systems that can replace human consultants in the SEO space
• Create systems that can plan and execute longitudinally (over extended periods) despite context limitations
• Implement evaluation frameworks to measure AI output quality and enable continuous improvement
• Develop human-in-the-loop workflows that maximize efficiency while maintaining quality control and ensuring that humans are not overwhelmed
• Build and enhance our existing suite of tools:
  • QA planning and content generation pipeline
  • Competitive research and analysis systems
  • Automatic link building tools
  • Social listening and content idea generation
  • Landing page generation with dynamic image creation

Hard, Interesting Problems We’re Actively Solving

• Maintain Output Quality at Scale: Develop robust LLM evaluation frameworks and build human-in-the-loop systems that empower experts without overwhelming them.
• Formalize Agent "Skills": Enable agents with skills like long-horizon planning, tool use, and the ability to self-improve from historical results.
• Prevent AI Model Collapse: Design robust RAG and core knowledge boundaries to stop AI from consuming low-quality, AI-generated content.
• Transition from Agency to Self-Service: Lower the education barrier by making complex systems usable for customers without deep SEO expertise.
• Create Ecosystem-Level Effects: Implement strategies like cross-portfolio link building to generate network effects across our customer base.
• Build Human-as-Trainer Loops: Create systems that learn from expert operator behavior to drive continuous improvement without relying on brittle "prompt spaghetti."