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Senior Manager, AI/ML Engineering

Sydney (AU) - Pitt St

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Apply at Co–Star

What you’ll work on

Full posting
  • You will lead the team that owns two things: the machine learning that values Australian residential property, and the AI platform the rest of Domain builds on.

  • Lead, mentor and grow a team of senior machine learning, data and platform engineers — hiring well, coaching often, and building the next generation of technical leaders.

  • Own the pipelines, warehouse infrastructure and published data products the models and the platform run on, including the datasets other teams consume through our APIs.

From the employer’s posting
We are looking to hire a Senior Manager, AI/ML Engineering to join our team. You will lead the team that owns two things: the machine learning that values Australian residential property, and the AI platform the rest of Domain builds on. It's a genuinely hands-on leadership role — you'll set technical direction, shape and prototype the approach yourself, and stay close enough to the systems to make good calls about them. The portfolio runs at three speeds: a mature valuation estate where releases are scheduled and breaking things is expensive, an agentic AI platform where you'll be writing the standards as you go, and the shared data foundations both depend on. Reporting to the Director of AI & Machine Learning you will partner closely with senior stakeholders across products, engineering, marketing, and sales.
What you’ll do Lead, mentor and grow a team of senior machine learning, data and platform engineers — hiring well, coaching often, and building the next generation of technical leaders. Define and maintain Domain's AI platform and its maturity roadmap — agent frameworks, evaluation, deployment patterns and the shared capabilities that let product teams build faster.
Take end-to-end accountability for the machine learning that prices Australian residential property — training, release, backfill and monitoring — where accuracy is measurable and downtime is expensive. Own the pipelines, warehouse infrastructure and published data products the models and the platform run on, including the datasets other teams consume through our APIs. What you'll bring

Tools in this posting

  • AWS
  • dbt
  • Snowflake
Source — Tool mentions in context
- Generative AI in production — practical experience taking LLM/VLM or agent-based applications beyond prototype — evaluation, guardrails, deployment patterns and the operational realities that follow. - Data & cloud foundations — solid grounding in the modern data stack — a cloud warehouse such as Snowflake, a transformation framework such as dbt and a scheduler such as Airflow — plus fluency with a major cloud platform, AWS preferred, including infrastructure as code. - Platform thinking — experience owning or building an AI/ML platform and shaping its capability roadmap.

Job description

View original posting ↗

Senior Manager, AI/ML Engineering

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Job Description

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We are looking to hire a Senior Manager, AI/ML Engineering to join our team.


You will lead the team that owns two things: the machine learning that values Australian residential property, and the AI platform the rest of Domain builds on. It's a genuinely hands-on leadership role — you'll set technical direction, shape and prototype the approach yourself, and stay close enough to the systems to make good calls about them. The portfolio runs at three speeds: a mature valuation estate where releases are scheduled and breaking things is expensive, an agentic AI platform where you'll be writing the standards as you go, and the shared data foundations both depend on.


Reporting to the Director of AI & Machine Learning you will partner closely with senior stakeholders across products, engineering, marketing, and sales. 


What you’ll do


  • Lead, mentor and grow a team of senior machine learning, data and platform engineers — hiring well, coaching often, and building the next generation of technical leaders.
  • Define and maintain Domain's AI platform and its maturity roadmap — agent frameworks, evaluation, deployment patterns and the shared capabilities that let product teams build faster.
  • Take end-to-end accountability for the machine learning that prices Australian residential property — training, release, backfill and monitoring — where accuracy is measurable and downtime is expensive.
  • Own the pipelines, warehouse infrastructure and published data products the models and the platform run on, including the datasets other teams consume through our APIs.

 What you'll bring 


  • Leadership track record — substantial experience in AI/ML or data engineering, including several years leading and growing engineering teams
  • Hands-on engineering — you design and prototype, make the case for the approach to the people who need convincing, and then lead it through to production and own it there.
  • Production ML depth — a strong foundation in production of ML systems and MLOps — deployment, CI/CD/CT pipelines, monitoring and drift detection, and managing reliability, scalability and cost at scale. 
  • Generative AI in production — practical experience taking LLM/VLM or agent-based applications beyond prototype — evaluation, guardrails, deployment patterns and the operational realities that follow. 
  • Data & cloud foundations — solid grounding in the modern data stack — a cloud warehouse such as Snowflake, a transformation framework such as dbt and a scheduler such as Airflow — plus fluency with a major cloud platform, AWS preferred, including infrastructure as code. 
  • Platform thinking — experience owning or building an AI/ML platform and shaping its capability roadmap. 
  • Experience in property, marketplaces, or large-scale consumer data products. 
  • A degree in a related field
  • A voice in the community — speaking, writing, or otherwise contributing to the field. 

What's on offer 


  • A senior leadership role with real influence over how AI and machine learning are built and operated across Domain. 
  • A competitive remuneration package with performance-based incentives. 
  • Generous parental leave and a genuine commitment to wellbeing and balance. 
  • A collaborative, high-trust team whose work reaches millions of Australians.

Equity, Diversity & Inclusion

Domain is enthusiastically and unapologetically committed to fostering an equitable, inclusive work culture which reflects our customers and communities. We are proactively looking for candidates from all lived experiences, including people with disability, and people of all ages, ethnicities, cultures (including Aboriginal and Torres Strait Islander Peoples), faiths, sexual orientations, and gender identities (including trans and non-binary people)

We are committed to providing an equitable recruitment process for people with disability. If you require adjustments during the process we’re here to support. If you wish to receive this job advertisement in an accessible format, or have a confidential chat about workplace adjustments, please contact our Equity, Diversity and Inclusion team at edi@domain.com.au or leave a message on 1300 858 356 and we will get back to you.


CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

 

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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Sydney (AU) - Pitt St

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Status in our records
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First seen by us
Oct 8, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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