Ai Program Manager jobs
• The average pay for Ai Program Manager jobs is $157K per year.
• Entry-level positions start at $120K per year, while the most experienced workers can earn up to $220K per year.
• 4 companies are currently advertising Ai Program Manager jobs including Canva, MasterCard, RACV and University of Sydney.
• Top skills include CROSS-FUNCTIONAL COLLABORATION, EXCELLENT COMMUNICATION SKILLS, DATA MANAGEMENT, MARKETING ANALYSIS and AI.
• Entry-level positions start at $120K per year, while the most experienced workers can earn up to $220K per year.
• 4 companies are currently advertising Ai Program Manager jobs including Canva, MasterCard, RACV and University of Sydney.
• Top skills include CROSS-FUNCTIONAL COLLABORATION, EXCELLENT COMMUNICATION SKILLS, DATA MANAGEMENT, MARKETING ANALYSIS and AI.
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Expiring in 4d
Full time
·
Contract
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Lead the program to achieve Canva's GenAI localisation goal.
- Manage cross-functional teams and external vendors for evaluation operations.
- Communicate progress and quality standards to stakeholders.
Posted 29d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Take full ownership of on-time, in-scope delivery outcomes.
- Work closely with Product Managers to translate product requirements into actionable technical requirements.
- Manage stakeholder expectations and keep them informed on progress and risks.
Expiring in 2d
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Lead cross-functional squads delivering AI products and business outcomes.
- Drive operating model transformation as AI-led automation scales.
- Provide clear, data-driven updates to senior leaders and stakeholders.
Posted 5d ago
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Lead the strategy and governance of AI adoption across the organisation.
- Partner with executive leaders to identify and scale high-value AI use cases.
- Establish Responsible AI governance and drive enterprise-wide AI capability.