? Melbourne preferred (Sydney considered) · Fixed term with option to extend · 0.8-1 FTE

Be the first person to own evidence at a charity that's trying to end homelessness, not manage it.

We Are Mobilise puts cash directly into the hands of people facing homelessness, up to $10,000 over six months, through a national network of 50+ charity partners. Over $4 million has been distributed and more than 1,500 people have been supported into housing, backed by the Paul Ramsay Foundation and research from the University of Melbourne. It's working toward Project 10,000: housing outcomes for 10,000 people by 2030.

Most of the sector works to help people experiencing homelessness. Mobilise is trying to end it.

The role

This is the first time the organisation has hired for data and evidence as its own job. Nobody has owned this before you. You'll decide how trials get designed, what counts as proof, and which results are strong enough to change a programme.

As Mobilise scales to reach millions of people at risk of homelessness, the systems you build now become the systems the organisation runs on, and the evidence you produce is what tells funders, government and the sector that direct cash delivery actually works.

You'll work side by side with the Tech Lead, who owns the platform. You own the evidence layer on top of it, and roll up your sleeves on builds when that moves things forward. If you want your analysis to change how a country responds to homelessness, not just sit in a report, this is that job.

What matters more than years on a CV

- Ships end to end. Own experiment design from hypothesis through to a recommendation that changes a decision
- AI-native. Daily use of AI coding agents to prototype and ship, paired with rigorous review before anything goes live
- Production ownership. You build the pipelines, data models and dashboards others rely on, and stay accountable for them
- First-principles judgment. You can tell a genuinely strong result from a noisy one,



and say so even when the noisy one is the one people wanted
- Comfortable with ambiguity. Nobody hands you a spec. You work out what's worth testing yourself

What you'd do

- Own randomised trials and experiments end to end, and build tracking and randomisation into the platform itself
- Design and maintain the tools that collect clean participant outcome data
- Work with the Tech Lead on the data infrastructure underneath the platform, including pipelines out of Salesforce, and pick up platform builds yourself when that's fastest
- Build the dashboards and reporting leadership, the board and funders rely on

What success looks like

- By 90 days: the first experiment is live with tracking built into the platform, and a baseline dashboard is running
- By 6 months: a trial has run to completion, a real decision has been made off its results, and there's a repeatable process behind it, not a one-off build

Background

- Around 4 to 6 years across software or data engineering and applied analysis or research. What you've owned matters more than the number
- Strong Python and SQL, hands-on experience with randomised controlled trials or other experiments, and a solid grounding in statistics and causal inference
- Comfort with ambiguity, and transparent communication with non-technical people

Full detail on the desirable skills and the data guardianship requirements of this role is in the linked below. A relevant degree is welcome, but equivalent experience counts just as much. Team and work environment: reporting to the COO, with a working line to the Tech Lead. A team of eight, flat structure, fast pace. Melbourne preferred, Sydney considered. Not-for-profit salary packaging may be available.

Why join We Are Mobilise: Mobilise is trying to end homelessness, not manage it, and the evidence this role produces is what proves whether that's happening. If you want your analysis to change how a country responds to homelessness, this is worth a conversation.

? Apply now - we'd love to hear from you.

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