AI-Driven Retention Manager (Hybrid Melbourne)

Michael Page Australia; Brisbane; Hybrid; AUD 90,000 - 120,000; Full time

Job summary

Michael Page Australia is partnering with a technology-focused Australian company to recruit a Customer Success Manager. You will own retention outcomes across a large SMB segment, driving value from the platform through proactive engagement and scalable success programs.

You will monitor health signals, design automated engagement, and develop strategies to improve product adoption and recurring revenue, leveraging AI, automation and data insights to drive efficiency.

Qualifications

• 2+ years in Customer Success or similar role.
• Experience with SaaS or subscription-based models.
• Experience supporting retention in high-volume digitally managed base.
• Strong analytical capability to derive insights from data.
• Excellent written and verbal communication skills.
• Commercial judgement and retention scenario management.
• Experience with AI, CRM, reporting platforms, and data visualization.

Responsibilities

• Own retention outcomes across SMB customers.
• Monitor health data and identify early risk signals.
• Design automated engagement programs and lifecycle communications.
• Develop strategies to improve health, adoption and recurring revenue.
• Analyze customer behavior to identify trends and drivers.
• Collaborate with commercial teams to surface expansion opportunities.
• Leverage AI, automation and reporting to boost efficiency.
• Share insights and best practices for ongoing improvement.

Skills

SaaS experience

Analytical skills

Excellent communication

AI exposure

Tools

CRM tools

Data visualization tools

Reporting platforms

Job description

Michael Page Australia is partnering with a technology-focused Australian company to recruit a Customer Success Manager. You will own retention outcomes across a large SMB segment, driving value from the platform through proactive engagement and scalable success programs.

You will monitor health signals, design automated engagement, and develop strategies to improve product adoption and recurring revenue, leveraging AI, automation and data insights to drive efficiency.