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. Our client waitlist is growing by the day.
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 live, learn, and operate. You will have a profound impact across our entire stack, from the foundational data platforms that feed our agents, to the core agentic frameworks that allow them to reason, to the scalable serving systems that deliver their intelligence to our customers. This is a rare opportunity to build a truly AI-native product from the ground up and solve problems at the forefront of the industry.
You won't just be a cog in a large machine. You'll be an athlete on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We're in the early days of forming three core teams:
Product Engineering & Infrastructure
AI Platform & Foundation
Agent Application & Quality
You'll have the unique chance to learn and grow your skillset as these teams evolve. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming a more well-rounded engineer.
Build robust, high-performance web applications with modern frontend frameworks.
Design, develop, and maintain scalable backend services and APIs to support core business applications.
Implement reliable, secure, and efficient infrastructure for deploying and operating distributed systems.
Collaborate closely with data engineers and ML teams to integrate data pipelines, analytics, and AI-driven features into production systems.
Ensure systems are designed for scalability, observability, and maintainability across cloud environments.
Optimize application performance across backend, frontend, and data-intensive workloads.
Participate in code reviews, enforce best practices, and ensure high-quality engineering standards.
Partner with cross-functional teams to translate business needs into technical solutions.
Write and maintain clear, reusable, and well-documented code.
Contribute to architectural decisions and the long-term technical roadmap.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
Strong proficiency in backend development with experience in web frameworks (e.g., Django, FastAPI, or similar).
Experience building modern frontend applications using frameworks such as React, Vue, or Angular with TypeScript or JavaScript.
Familiarity with asynchronous programming and designing high-concurrency systems.
Solid understanding of cloud platforms (e.g., Google Cloud, AWS, Azure) and container orchestration.
Experience working with relational and non-relational databases, caching systems, and large-scale data stores.
Knowledge of distributed systems, job scheduling, and workflow orchestration.
Strong problem-solving, debugging, and system design skills.
Excellent collaboration and communication abilities in cross-functional environments.
Bonus points for experience in any of the following:
Industry experience with large-scale data processing frameworks (e.g., Spark, Flink, Beam).
Hands-on experience with analytics platforms, data warehouses, or query languages.
Knowledge of infrastructure-as-code and CI/CD best practices.
Familiarity with frontend build tools and modern developer workflows.
Strong experience with observability practices (logging, monitoring, tracing).
Contributions to open-source projects or active participation in developer communities.
Experience optimizing cloud cost, performance, and scalability for production workloads.
Unparalleled Learning: You'll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.
High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, our culture, and the success of our customers.
A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.
True Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales.
We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:
Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000.
Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.
Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.
401(k): We'll help you build for your future with a competitive 401(k) program.
Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.