- Work directly with ANZ analytics and credit risk teams to deepen the value of a leading property data product.
- Turn customer insights into scalable data products for lenders and brokers across Australia.
- Permanent role based in Melbourne or Sydney
We're REA
With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.
Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named one of Australia’s Best Workplaces four times since 2021 — including third place in 2025 — plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.
Where the team fits in
This Product Manager role sits within PropTrack’s Mortgage Solutions tribe, in the product team focused on creating integrated, highly effective data insights solutions which improve processing times across the mortgage application and credit risk monitoring processes.
You will work closely with:
- Commercial & Customer Success – to understand pipeline health, segment needs and go‑to‑market motions for credit unions, fintechs, banks and broker groups.
- Design (CX/UX) – to deeply understand user journeys and design high‑performing experiences for mortgage application process and credit risk.
- Data Science & Analytics – to measure funnel performance, optimise targeting and experimentation, and surface actionable insights.
- Engineering & Delivery – to ship quality product improvements at pace in cross‑functional squads.
What the role is all about
You'll help drive faster mortgage application processing and stronger credit risk monitoring across PropTrack's mortgage solutions products, supporting lenders and brokers to make better-informed decisions.
The role combines a deeply embedded customer partnership with a broader market lens. You'll:
- Build an informed view of how Tier 1-3 banks, credit unions, non-bank lenders, fintechs and broker groups use mortgage data, insights and workflows.
- Understand how customer needs are evolving across mortgage applications, collateral assessment, credit risk monitoring and audit processes.
- Partner with Data, CX/UX and Commercial to run discovery interviews, generative research and experiments across priority customer segments.
- Own a roadmap across acquisition, conversion and retention, covering data, features, journeys, APIs and the core systems that support key customers.
- Use product usage, funnel performance and customer feedback to identify opportunities, prioritising them through customer value, commercial impact, data and strategic alignment.
- Work with Engineering, Design and Data in an agile squad to turn customer problems into clear product direction and measurable outcomes.
- Run experiments, including AI-assisted prototypes and A/B tests, to improve measures such as time to yes, valuation wastage, product uptake and customer outcomes.
- Identify ANZ use cases that can become MVPs and scalable products for banks, credit unions, fintechs, non-bank lenders and broker groups.
- Contribute to customer meetings, pitches, strategic account reviews, pricing, packaging and go-to-market opportunities.
The role begins with a strong focus on deepening the value of an established product and customer relationship. As your understanding of the customer and market grows, you'll help turn validated use cases into a broader suite of scalable property data solutions.
Who we’re looking for
You'll be a confident, customer-oriented product manager who can connect financial services problems with practical, data-informed product decisions.
You'll bring:
- Five or more years' experience in product management or an equivalent role.
- Experience in lending, credit risk, financial services, B2B SaaS, data products or a related environment.
- Strong understanding of residential or commercial lending and credit risk concepts, including the three Cs of lending: character, capacity and collateral.
- Confidence working with data, metrics and banking or credit information; you do not need to be a hands-on coder.
- Experience with customer discovery, product strategy, generative research and experimentation.
- Interest in AI tooling, AI product prototyping and the potential of data to improve lending decisions.
- Strong client-facing communication skills, including the ability to build trust with senior stakeholders and simplify complex problems.
- Sound commercial judgement, strong prioritisation skills and the ability to make progress in ambiguity.
- A collaborative, low-ego approach to working across engineering, data, design, commercial and customer success.
Experience with banks, credit unions, non-bank lenders, fintechs, brokers or financial services analytics teams will be highly regarded. If you have the product mindset, customer confidence and curiosity to learn, we'd like to hear from you even if you don't meet every point.
The REA experience
The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.
Some of our Perks & Benefits include:
- A hybrid and flexible approach to working
- Flexible leave options including, birthday leave and purchase additional leave
- Flexible parental leave offering for primary and secondary carers
- Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
- Hackdays so you can bring your big ideas to life
Our commitment to Diversity, Equity, and Inclusion
We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.
Join our Talent Neighbourhood
Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!
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