Backed by Kleiner Perkins.
About the role
You are a product-minded engineer who cares deeply about the end-user and is excited to bridge the gap between complex backend systems and a delightful user experience. You are a systems-level thinker, capable of navigating ambiguity and designing for scalability, reliability, and extensibility.
What they're looking for
- Data Engineering: Building ETL / streaming pipelines, working with technologies like Spark, Airflow, dbt, or building on a lakehouse architecture
- Machine Learning: Experience with ML frameworks (e.g., PyTorch, TensorFlow) or MLOps infrastructure (e.g., MLflow, Kubernetes, serving systems)
- Agentic AI / LLMs: Hands-on experience developing with Large Language Models, agentic frameworks (like LangGraph), or building RAG systems
More about this role
At MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.
Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend.
While traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.
As an early Software Engineer at MAI, you won't just be writing code; you'll be the architect of the entire ecosystem where our AI agents...
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