Senior Product Manager (AI)

Location: Hybrid, based in Richmond, Melbourne VIC, Australia

Company

hirify.global develops property products that support people throughout the process of finding and financing a home.

What you will do

• Set the direction for the AI Enrichment and Listings Enrichment squads, connecting their capabilities to customer and business outcomes.
• Own the long-term vision for audience modelling and segmentation and influence customer-facing product strategies and roadmaps.
• Prioritise opportunities involving data acquisition, models and platform capabilities, including building business cases for investment.
• Own outcome-oriented roadmaps while balancing reusable platform investment, data and model quality, reliability, technical debt and market responsiveness.
• Partner with product, engineering and data science/ML teams on discovery, model design, experimentation, evaluation, serving, monitoring, back-testing and measurement.
• Champion data quality, responsible product decisions and lifecycle recommendations to grow, evolve or retire products.

Requirements

• Significant product management experience with AI/ML products, data products, platforms or complex technical domains.
• Experience taking models, data products or technical platform capabilities from discovery through production, adoption and lifecycle management.
• Working knowledge of model and data-product lifecycles, including training, evaluation, serving, monitoring, retraining and deprecation.
• Experience prioritising reusable capabilities across multiple consuming teams and use cases.
• Excellent stakeholder leadership and communication skills, including the ability to influence senior leaders.
• Strong commercial and analytical judgement, with the ability to connect product metrics to business performance.
• Ability to bring people together and lead a cross-functional team through discovery, delivery, adoption and continuous improvement.
• Ability to explain technical concepts, capability boundaries, risks and trade-offs to technical and non-technical audiences.

Nice to have

• Curiosity about emerging data, AI/ML and platform practices and judgement about where they add value.
• Familiarity with data governance, privacy, security, responsible AI and model-risk concepts and policies.

Culture & Benefits

• Hybrid and flexible approach to working.
• Flexible leave options, including birthday leave and the option to purchase additional leave.
• Flexible parental leave for primary and secondary carers.
• Volunteering leave, community grants, matched payroll giving and a community café supporting charity.
• Hackdays for developing and testing new ideas.
• Work environment focused on diversity, equity, inclusion, learning, growth and employee wellbeing.