Majors Account Executive (Retail)

Location: Melbourne, Australia

Company

Snowflake provides an AI Data Cloud and is expanding its sales organization to support enterprise adoption of data and AI.

What you will do

• Partner with the Global Account Manager on account strategy, field intelligence, customer feedback, marketing initiatives, sales campaigns, education, and SI partner engagement.
• Own stakeholder relationships across major retail accounts, including Technology, Data, AI, Digital E-commerce, Customer, Commercial, Supply Chain, and Merchandising functions.
• Run full-cycle enterprise deals from prospecting and discovery through business case development, procurement, negotiation, and close.
• Advise retailers on IT roadmaps and connect the Snowflake AI Data Cloud to demand forecasting, inventory and supply chain optimization, customer personalization, and omnichannel analytics.
• Build territory plans, manage prospect lists and pipeline, engage partners, forecast accurately, and maintain CRM hygiene.
• Run MEDDPICC-based deal cycles, land, adopt, and expand Snowflake, and collaborate with Solutions Engineering, Professional Services, Customer Success, SDRs, Marketing, Legal, and Finance.

Requirements

• Consistent track record of meeting or exceeding quota while selling complex technical solutions into the enterprise market.
• Proven success developing and closing new opportunities and building strategic partnerships.
• Experience running full-cycle enterprise deals from prospecting through negotiation and close, including multi-million-dollar annual revenue targets.
• Experience selling to senior business and technology stakeholders at Director, VP, and C-level.
• Working knowledge of MEDDPICC or a similar sales methodology in complex, multi-stakeholder environments.
• Familiarity with solution-based selling in data warehousing, business intelligence, data science, analytics, cloud infrastructure, or AI/ML.
• Strong commercial instincts, including connecting customer problems to business cases and close plans.
• Collaborative, low-ego approach with open, honest, and respectful feedback.

Nice to have

• Experience selling data cloud, data warehouse, or AI/ML platforms.
• Industry exposure to retail, consumer goods, or eCommerce.
• Existing relationships within the Australian retail enterprise market.
• Familiarity with retail data use cases such as loyalty, pricing, omnichannel marketing, and supplier collaboration.

Culture & Benefits

• AI-native, experimental mindset focused on reinventing how work gets done.
• Low-ego, collaborative environment with open and respectful feedback.
• Fast-growing organization focused on challenging ordinary thinking and accelerating innovation.