Agentic Associate Product Manager job vacancy in Sydney at Lendi Group - 21 June 2026 | Jobstore.com

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Jobs in Australia   »   Jobs in Sydney   »   Manufacturing / Production jobs   »   Agentic Associate Product Manager

Agentic Associate Product Manager

Sydney, AU
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  • Build and improve AI agents and connected workflows using tools such as ChatGPT, Claude, n8n, Glean, Rovo, Zapier, Cursor, or equivalent platforms
  • Partner with stakeholders across the business to understand problems, identify opportunities, and translate requirements into practical AI solutions
  • Design multi-step agent workflows that improve speed, quality, scalability, and operational efficiency
  • Help prioritise and coordinate multiple AI initiatives based on business value and impact
  • Monitor, refine, and optimise agent performance as adoption scales across teams
  • Support experimentation, CRO, and funnel optimisation initiatives across Aussie and Lendi digital experiences
  • Contribute to the full lifecycle of AI-enabled solutions — from discovery and prototyping through to rollout, iteration, and long-term optimisation
  • Work closely with product, engineering, design, analytics, and growth teams to deliver measurable outcomes

What Success Looks Like

At 6 Months

  • You’ve built AI agents or automation workflows that meaningfully improve team efficiency or output
  • At least one of your solutions is actively being used or tested by the Growth team
  • You’ve contributed to CRO experiments or funnel improvements and helped measure their impact
  • You understand the key acquisition journeys across Aussie and Lendi and how AI can improve them

At 12 Months

  • AI agents and workflows you’ve built are embedded into how the Growth team operates day-to-day
  • You’re recognised as a go-to person for building scalable AI workflows and agent-based solutions
  • Your work is contributing to faster execution, improved quality, stronger conversion outcomes, or reduced manual effort
  • You’re operating with increasing autonomy across more complex problem spaces

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