What you'll do
Context Lake and Agentic Layer
Build and maintain Context Lake on GitHub: the structured, machine-readable repository of messaging, brand guidelines, persona profiles, competitive positioning, and use cases that every agent draws from.
Design the architecture so that when a marketer updates a file, every downstream agent immediately produces sharper output. Repo structure, file schema, naming conventions, update workflows - all of it.
Build and maintain the Agentic Layer: the skills, orchestration files, automations, and shared memory structures that power SysAid's content production and campaign workflows.
Set and enforce the quality bar for both layers. Context files that agents can't reliably read are a production bug. Treat them that way.
Requirements: 2 years of hands-on experience building AI agents in production: not prototypes, systems that real teams actually used.
Deep understanding of how agents consume structured context and how repo architecture determines output quality.
GitHub fluency is used as a context and workflow operating system, not just a code repository.
Familiarity with LLM frameworks, agentic tooling, and low-code orchestration platforms (n8n, Make, or equivalent).
Martech stack knowledge across CRM, marketing automation, and campaign tools.
The ability to translate a marketer's pain point into a working technical solution, and to explain the architecture back to them in plain language.
A builder mentality. You define the problem, figure out the architecture, and ship something that works.
Comfort operating without a playbook. You find that energizing, not frustrating.
This position is open to all candidates.