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.