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IntelligenceBank is seeking a Senior Product Manager to own the roadmap for Rules and agentic products—AI-driven rules engines, rule libraries, and infrastructure that power marketing content risk reviews across regulated industries.
This is a hands-on player/coach role based in Melbourne on a hybrid basis (3 days per week onsite). You will manage your own product portfolio end-to-end while mentoring other Product Managers and serving as the team's expert on the broader AI/LLM landscape.
Key Responsibilities:
- Own the roadmap and outcomes for the Rules product line, from discovery through delivery and go-to-market; prioritize investment across products and platform capabilities.
- Define the company's point of view on deterministic vs. LLM-assisted rule authoring, including confidence thresholds and human-in-the-loop design patterns.
- Track new LLM models, evaluation methodologies, and prompt/agent techniques; translate them into product opportunities or risks within a regulated industry context.
- Run discovery and delivery end-to-end, writing PRDs and story maps, and breaking down AI/ML features into clear, testable stories.
- Mentor other product managers and builders while managing your own portfolio; help shape how the product team operates.
- Communicate product vision, priorities, and trade-offs to stakeholders; represent the product as an SME in customer and sales conversations.
- Provide day-to-day people leadership for product managers and builders on your team, including coaching, development, and performance conversations.
About IntelligenceBank:
IntelligenceBank is the leading marketing operations management platform for brands in regulated markets. Used by over 1 million users in 55 countries, the company uses AI and automation to help brands get to market quickly, stay on brand, and ensure regulatory compliance. Headquarters are in Melbourne, Australia, with operations across the US, Canada, and the UK.
Requirements:
- Established background in B2B SaaS Product Management.
- At least 3+ years building products using traditional and/or generative AI technologies.
- Deep working knowledge of LLM-based product concepts: prompt design, classification, confidence thresholds, and human-in-the-loop design.
- Genuine curiosity about regulatory or compliance domains; exposure to regulated industries or compliance software is a plus.
- Comfortable using AI tooling in your own workflow and well versed in agile ways of working across cross-functional teams.
- Experience mentoring or coaching other product managers is essential, along with strong commercial and business casing skills.
