Full-Time

Distribution Engineer

Maincode

Maincode

11-50 employees

Manufactures custom, purpose-trained AI models

No salary listed

Melbourne VIC, Australia

In Person

Based in Melbourne and works closely with an in-person team.

Category
AI & Machine Learning (1)
Required Skills
LLM
REST APIs
Data Analysis

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Requirements
  • Experience in growth, performance marketing, or go-to-market systems.
  • A background in experimentation and data analysis.
  • Coding, automation, and systems design experience.
  • Fluency with large language models, application programming interfaces, and agent workflows.
  • Systems and infrastructure thinking.
  • An understanding of messaging, user behavior, and conversion.
  • Comfort working across technical and commercial areas.
Responsibilities
  • Design and operate artificial-intelligence-driven systems that generate, test, and scale how the company reaches users.
  • Build artificial intelligence agent pipelines that generate, test, and optimize advertisements, content, and messaging at scale.
  • Build growth systems across paid, organic, and owned channels.
  • Build experimentation frameworks that improve performance across the funnel.
  • Build real-time feedback loops connected to data sources and application programming interfaces for decision-making.
  • Build a compounding distribution engine that improves without manual intervention.

Maincode in Melbourne builds custom AI models for businesses and researchers. It provides end-to-end services from data engineering to training, evaluation, and deploying AI on Australian infrastructure, with a focus on systems that augment human decision-making rather than replacing humans. Its key product, Matilda, is a foundation model trained in Australia and used through partnerships that leverage Australian-developed, sovereign AI capabilities. Unlike many AI vendors who rely on external clouds, Maincode operates its own GPU infrastructure and AI factory on Australian soil, giving clients control over data, standards, and security. The company targets professionals in sectors like education, healthcare, and customer service who handle complex decisions, and aims to grow Australia’s frontier AI capabilities through collaborative, data-driven AI tools.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Melbourne, Australia

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • Matilda Code entered wider beta on July 30, 2026, broadening product feedback.
  • Maincode opened MC-2 in January 2026 after a $30 million investment.
  • Mastercard and Maincode demoed Australia’s first live agentic payment at Australian Open 2026.

What critics are saying

  • Matilda Code remained private beta until July 2026, proving product-market fit remains unverified.
  • Maincode depends on Ed Craven’s concentrated capital; funding withdrawal slows MC-2 expansion.
  • If Matilda Code stalls, Maincode becomes a capital-intensive services shop without moat.

What makes Maincode unique

  • Matilda runs in Melbourne on Australian infrastructure, not foreign clouds.
  • Maincode trains custom models for workflows, data, and standards, not generic chatbots.
  • Dave Lemphers combines Microsoft, AWS, and four startup exits with applied AI expertise.

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Benefits

Health Insurance

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Growth & Insights

Headcount

6 month growth

0%

1 year growth

14%

2 year growth

33%