Mutinex Tech Stack

Marketing mix modeling platform for ROI optimization and growth attribution

Software Development South Melbourne, Victoria 51–200 employees Founded 2017 Partnership

Mutinex builds a marketing mix modeling platform using Python, PyTorch, TensorFlow, and BigQuery—a data and ML-heavy stack. The company is actively tackling time-series forecasting, constraint-based optimization, and automated ML pipelines while grappling with data quality and multi-customer workload scaling. The hiring mix (marketing and engineering at 9 senior+ roles) reflects a balance between customer success and technical depth required to deliver complex attribution modeling to agencies and finance teams.

Tech Stack 16 technologies

Core StackSnowflake BigQuery Python Kubernetes FastAPI Pulumi Terraform Docker scikit-learn pandas PyTorch TensorFlow SQL SQLAlchemy Cloud Run Pub/Sub

What Mutinex Is Building

◆Challenges

Messy real-world data
Complex customer problems
Improving platform adoption process
Building automated ml pipelines
Optimising data science workflows
Scaling ml pipelines
Managing multi-customer workloads
Customer understanding gap
Complex data capabilities
Complex data and infrastructure problems at scale

▲Active Projects

Platform adoption process improvement
Sector and market analysis development
Product development and innovation
Constraint-based optimisation frameworks
Time series forecasting models
Event-driven cloud infrastructure
Transform messy real-world data into model-ready insights
Product feature development
Growthos marketing measurement suite
Dataos data preparation platform

Hiring Activity

Steady15 roles · 6 in 30d

Department

Marketing

Engineering

Support

Ops

Product

Sales

Seniority

Senior

Manager

Junior

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About Mutinex

Mutinex is a marketing analytics platform that helps marketers, agencies, media teams, and finance functions model and optimize the factors driving business growth. Founded in 2017 and based in South Melbourne, the company serves mid-market and enterprise customers with a platform centered on marketing mix modeling—attributing revenue to different marketing channels and tactics. The product sits at the intersection of data infrastructure, machine learning, and marketing operations, built on Snowflake and BigQuery with Python-driven ML components. The team operates across Australia, Canada, and the United States.

HeadquartersSouth Melbourne, Victoria

Company Size51–200 employees

Founded2017

Hiring MarketsAustralia, Canada, United States

Frequently Asked Questions

What tech stack does Mutinex use?

Snowflake, BigQuery, Python, PyTorch, TensorFlow, scikit-learn, Kubernetes, FastAPI, and Terraform. The stack reflects a data platform layered with ML modeling and cloud-native infrastructure.

Where is Mutinex hiring?

Australia (headquarters), Canada, and the United States. 14 total active roles with 6 posted in the last 30 days.