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AI Product Manager

LMG • 🌐 Remote

Remote Posted 8 hours, 32 minutes ago

Job Description

Who are we?

LMG is the largest and most progressive aggregator group across Australia and New Zealand supporting a community of over 6,000 brokers and advisers. Proudly family-owned and led, LMG supports businesses operating under their own brand, or the Loan Market brand, and partners with over 70 banks and lenders. The business has grown rapidly, with LMG brokers in both countries helping over 330,000 customers settle over $126 billion worth of loans in FY24.

We’re not a conventional company with a lot of rules and hierarchy, and we don’t intend to become one. We live our values in everything we do: Compassion for our customers, doing what we say, being curious and thinking openly, going further together, and staying hungry but humble. We’re a large company with a start-up attitude. Our success is driven by hiring outstanding people and accepting nothing less than being the best at what we do.

We are proud to be named Australian Financial Review BOSS Best Place to Work - Banking, Superannuation and Financial Services \& in 2025!

About the role -

We’re looking for a passionate product person to join our team and take a leading role in the management and development of new features and functionality, including the integration of AI-driven capabilities, for our in-house CRM. Based either out of our Brisbane, Sydney or Melbourne office, or fully remote, the successful candidate will be charged with representing the needs and wants of one of the business capability streams our CRM delivers on, and identifying opportunities to enhance it with intelligent automation and predictive insights. They will be responsible for prioritisation and evaluation of features, stakeholder engagement, pitching the work for investment, working with design and development teams to bring a feature to life, deploying into market and following through on measurement and adoption. With a natural technical aptitude or background, with a strong curiosity for AI and data science, and a highly analytical nature, solving complex problems and logic challenges will be a breeze for this candidate. As part of a multi-discipline team, they will have professional communication skills across various channels, to support communication to stakeholders but also our user network.

Key Responsibilities -

Work as part of a cross-functional team to prioritise and deliver product increments efficiently and effectively by balancing investment against return of each feature with a clear understanding of desirability (of our users), viability (for our business model) and feasibility (of whether it can be achieved technically).

Provide vision and direction to the team and stakeholders, championing the strategic application of AI to solve user and business problems, and create pitches of work for eight week cycles, in collaboration with development, design and business team members.

Adhere to and drive accountability across each stage of the product life-cycle, as prescribed in our handbook.

Be a leader in the Product Management team providing input from the business capability they own, into new features, practice, the roadmap, our AI strategy, and product vision.

Identify and validate opportunities to leverage AI, machine learning, and data science to enhance user workflows, automate tasks, and deliver predictive insights.

Demonstrated ability to manage multiple workstreams, prioritize tasks, and allocate time efficiently.

Update short, mid and long term planning tools and communicate delivery windows with key stakeholders.

Effective collaboration with key stakeholders, fostering a network for continuous learning and representation of customer and business needs.

Run pilots for new features and evaluate their suitability for launch across all markets.

Engage regularly with local user base in each market and solicit feedback regularly and often on new, piloted and existing features to identify areas of improvement.

Mitigate impediments impacting successful team completion of pitch and business goals.

Stay on top of competitor analysis for the business capability they own, and emerging AI trends in the CRM space, identifying weaknesses and opportunities for the platform to mitigate or leverage respectively.

Monitor analytics of the product, including the performance and impact of AI models, for areas of improvement to drive user adoption and satisfaction skyward.

To succeed in this role you will bring with you -

Essential:

Product Manager experience, preferably working on AI/ML-powered products

Experience in a data-intensive environment, understanding the fundamentals of data science workflows

Documentation best practice skills

Outstanding communication

Analytical and logical problem solver, with the ability to frame business problems as data challenges

Self-organising, excellent time management

Extensive Stakeholder management experience

Experience working in a distributed team across multiple streams of work

Passion for continuous improvement

Strong influencing skills and experience at all levels of an organisation.

Desirable:

Exposure to a SaaS environment

Technical background (e.g., software engineering, data analysis)

B2B experience

Familiarity with core AI/ML concepts (e.g., NLP, generative AI, model evaluation metrics)

Understanding of data ethics and responsible AI principles

Our benefits -

Flexibility \& Balance:

Hybrid \& Flexible Working: Tailor your work week to suit your lifestyle.

6 ‘Me’ Days: Extra leave to prioritise your wellbeing.

Religious \& Cultural Swap Leave: Trade a public holiday for one that’s meaningful to you.

Extra Annual Leave: Need more time off? Purchase additional leave to recharge.

Family \& Wellbeing:

16 Weeks Paid Parental Leave: Plus up to 52 weeks of paid superannuation.

Paid Fertility Treatment Leave: Support when navigating your fertility journey.

12 Days Personal Leave: Time off when life happens.

Wellbeing Support: Access to EAP for personal, financial, and career advice.

Growth \& Development:

Paid Study Leave: Support for your studies.

L\&D Programs: Grow your skillset and advance your career with tailored learning programs.

Accelerate Program: Development opportunities for high performers.

Community:

LMG Share Tomorrow Foundation: Earn volunteer donation rewards and company donation matching.

Paid Volunteer Day: Volunteer with paid time off

At LMG, we know that diversity and inclusion are key to our success. We're dedicated to building a workplace where everyone feels valued, respected, and supported—no matter their race, gender identity, sexual orientation, religion, age, or any other part of who they are. We understand that diverse perspectives fuel innovation and drive business growth. As an inclusive employer, we foster a culture where everyone has the opportunity to thrive and show up as their authentic selves every day.

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