Account Executive, Data Cloud
Salesforce - Australia - Sydney
Posted Feb 16, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Source-linked last checked May 7, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Account Executive, Data Cloud Australia - Sydney An AI future is fueled by trusted, grounded data - which is why Data Cloud is the fastest growing organic product in Salesforce history! To help our customers realise their AI potential, and drive their Salesforce Customer 360 to all new heights, we are looking for a Data Cloud Specialist AE to cover GB in our Commercial segment. This is a specialist, co-prime role, supporting a customer's primary account sales team - so the ability to work as a support to the primary Account Executive to drive a comprehensive customer focused solution is key. You will have experience is simplifying the complicated - translating sophisticated technical concepts into value and use cases. You will have a deep, thorough understanding of the data landscape - including leading CDPs and Datalakes. Collaborating with potential clients, you will dive deep into understanding their needs and challenges, showcasing how Data Cloud can solve their most critical business goals. What you'll be doing: Employ your wealth of experience in enterprise and commercial B2B sales to identify and engage potential Data Cloud clients. Use your extensive knowledge of the Salesforce platform, Data Cloud, and Agentforce to craft highly tailored solutions that resonate with clients. Demonstrate your adeptness at leading comprehensive discovery conversations, unearthing prospective customers' critical business needs and determining if and how Data Cloud can help them. Craft and present compelling Points of View (PoVs) that underscore the tangible business value of Data Cloud. Collaborate across cross-functional teams
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