Account Executive, Data Cloud
SalesforceAustralia - SydneyPosted 7 April 2026
Tech Stack
Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
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 to show up as “One Salesforce” and ensure a seamless client experience throughout the entire sales process
Highlight how our solutions align seamlessly with clients' long-term strategic objectives
Use your unique ability to combine deep discovery with your own PoV to present compelling Data Cloud use cases that resonate with technical and business buyers
What you should have:
Significant experience in enterprise and commercial B2B sales within the context of highly technical sales.
Passionate about data, analytics, and AI
Expertise in modern cloud data platforms (e.g., Snowflake, Databricks, Big Query), acquired through considerable technology sales experience.
An understanding of the Salesforce Advantage across Sales Cloud, Marketing Cloud, Service Cloud to relate Data Cloud requirements in the context of Customer needs.
A heightened business acumen, adept at steering impactful discovery conversations to uncover the most intricate client needs.
A track record of consistently surpassing sales targets within a technical sales environment, underscoring your mastery of intricate sales processes.
Exceptional communication and negotiation skills honed through your experience in technology sales.
Can bridge the gap between technical capabilities and business outcomes
Skills/Technologies:
Salesforce platform (Sales, Service, Marketing Clouds), technical sales, negotiation techniques, Cloud Data Warehouse technologies, Salesforce Data Cloud.
Characteristics:
A results-driven attitude: Shown ability to exceed sales goals within the context of co ... (truncated, view full listing at source)
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