Blackboard is hiring a Technical Lead to act as architect and builder for a new AI-native product. You will design the system from the ground up, establish a culture of AI-native development, and recruit a small team.
What You'll Do
- Establish the norms, workflows, and standards for AI-native development at scale.
- Design, architect, and build the core system — a stateful, multi-layer architecture spanning data ingestion, decision logic, and AI-powered delivery.
- Own the full technical vision and be accountable for it.
- Build a Core Intelligence Architecture: a multi-layer, decoupled system with a persistent learner state model and a rules-based decision layer.
- Build Data & Integration Layer: event-driven pipelines, APIs, and LMS integration for real-time data ingestion.
- Build AI & Agent Architecture: a multi-agent system with prompt engineering, guardrail systems, and observability infrastructure.
- Establish an AI-native development culture: AI tools as the default, human judgment as the filter.
- Implement weekly ship cycles, high observability, and a bias toward iteration.
- Hire and mentor a small senior team (2–3 Product Engineers) as the product scales.
- Stay on the bleeding edge of the AI ecosystem and make adoption decisions.
What We're Looking For
- Proven track record shipping complex, stateful AI or data-driven systems in production — not just prototypes.
- Fluency in LLM application development: orchestration, RAG pipelines, prompt engineering, guardrail design.
Technical Stack
- Claude Code
- Cursor
- AI-assisted tooling
- OpenAI Agent SDK
- MCPs
Team & Environment
You will be part of a small team and will recruit a small senior team of 2–3 Product Engineers.
Work Mode
This is a remote position open to candidates within the United States.
Blackboard is an equal opportunity employer.




