Engineer, Software Engineer

About Us

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 manage 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 have a 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.

Design and build a flexible pricing engine that supports:

• Hybrid SaaS + usage‑based pricing (tokens, executions, events).
• Tiered pricing, multi‑phase lifecycle pricing, and promotions.
• Spend caps, guardrails, and custom contract logic.
• Enable rapid iteration on pricing without requiring constant code changes.

Own deep integration with Stripe and Shopify:

• Subscriptions, invoices, checkout, webhooks, tax, and payment flows, retries, failures, proration, refunds, disputes.
• Build reliable webhook and event‑driven architecture (at‑least‑once delivery safe).

• Build high‑reliability usage metering pipelines tied to product events.
• Design reconciliation systems to ensure:
  • Billing accuracy
  • Explainable invoices
• Implement internal ledger‑like systems or audit layers where needed.
• Build tools for invoice review and overrides.
• Partner with Finance, Product, and Ops to ensure billing is transparent.

• 3–6+ years backend/software engineering experience.
• Hands‑on experience with Stripe (subscriptions, billing, webhooks) in production.
• Experience building or owning billing, payments, or pricing systems.
• Strong understanding of:
  • Event‑driven systems
  • Idempotency and retry safety
  • Data consistency and reconciliation
• Solid SQL/data skills (you can debug billing with data, not guesses).

Bonus points for experience in any of the following:

• Experience with usage‑based or token‑based billing systems.
• Experience integrating with Stripe and Shopify APIs or similar platforms.
• Familiarity with financial concepts:
  • Ledgering
  • Revenue recognition
  • Tax / VAT basics
• Experience building internal tooling for finance or operations.

• Unparalleled Learning:
  You’ll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.
• Hig…