Build the tools that do not exist yet — a campaign simulator, a creative intelligence engine, an experimentation platform. This is invention work, not integration work. Every tool you build becomes a product moat that competitors cannot easily replicate. You will work alongside the intelligence engineer to create a closed-loop optimization system that gets smarter with every dollar spent.

Must Have:
Has built platform/tooling systems that unlock new capabilities for users, not just internal plumbing.

• Strong TypeScript or Python with fast production shipping ability.

• Experience with browser automation, screen capture, simulation, or experimentation infrastructure.

• Strong product instincts for turning messy data and workflows into usable tools.

• AI-first development workflow with high implementation velocity.

Nice to have:
Simulation engine / Monte Carlo / probabilistic modeling experience

• Computer vision or image analysis (for creative intelligence)

• Ad-tech or growth engineering background

• A/B testing or experimentation infrastructure experience

• Experience with Mastra, Langchain, or LLM orchestration frameworks

Own the platform and simulation layer of Learn Engine. Build the campaign simulator, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products that let operators model outcomes before spending real money. This role owns tooling, infrastructure, simulation fidelity, and productized research surfaces — not the optimization policy itself.