Azure Cloud & AI Sales Specialist (Financial Services)

Location: Melbourne, Victoria, Australia; 3 days per week in-office

Company

Microsoft provides cloud, AI, data, application, and developer platform solutions for enterprise customers.

What you will do

• Lead strategic cloud and AI transformation conversations with senior business, technology, data, and engineering leaders.
• Shape opportunities across cloud and application modernization, data and analytics, AI applications and agents, and developer platforms.
• Translate complex technology into business value, measurable outcomes, and actionable transformation roadmaps.
• Coordinate Account Executives, Solution Engineers, Customer Success teams, Microsoft engineering specialists, commercial teams, and partners.
• Manage territory and account planning, pipeline progression, forecasting, and risk across complex opportunities.
• Support customers beyond the initial sale by driving secure production deployment, adoption, and expansion.

Requirements

• 6+ years of experience in technology, cloud, data, AI, application, platform, or enterprise software sales.
• Demonstrated experience engaging senior business and technology stakeholders.
• Experience developing and executing sales strategies that drive customer outcomes and business growth.
• Strong consultative selling, opportunity management, and customer engagement skills.
• Ability to communicate complex technology and business concepts to executive audiences.
• Bachelor's degree in Computer Science, Information Technology, Business Administration, Information Security, or a related discipline.

Nice to have

• Experience working with enterprise financial services companies.

Culture & Benefits

• Collaborative work across sales, technical, customer success, engineering, partner, and delivery functions.
• Exposure to cloud modernization, responsible AI, security, regulation, sovereignty, and competitive strategy.
• Inclusive, high-performing environment focused on customer outcomes and continuous capability development.
• Use of AI-enabled selling tools to improve preparation, customer relevance, and execution efficiency.