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Tier-1 brand, metro location, and broad cross-functional skill requirements increase candidate competition.
Requires deep Salesforce Data Cloud, Agentforce, and industry-specific expertise, limiting cross-industry transferability.
Mandates 7+ years, domain-specific Data Cloud/Agentforce expertise and Salesforce technical credentials, tightening shortlisting.
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Lead and accelerate customer consumption and ROI of Salesforce Data Cloud & Agentforce by developing and executing consumption plans and managing executive relationships.
Act as post-sale technical lead, providing architectural guidance and ensuring seamless integration of Data Cloud & Agentforce with customer systems.
Collaborate across sales, product, and engineering teams to drive customer onboarding, enablement, usage growth, and communicate KPIs on adoption and risks.
7+ years of customer-facing experience in Data, Analytics, AI, and CRM solutioning.
Strong technical expertise across CRM, Data Architecture, AI/ML including Salesforce platform certifications (Admin and Advanced Admin levels) and hands-on experience with Salesforce Clouds.
Proven experience managing C-Level executive relationships and driving consumption in complex, large enterprise customers.
Work Experience Required: 7+ years in relevant customer-facing technical roles. Notice period: Not explicitly mentioned in the JD.
Experienced individual contributor with a combined technical and commercial skill set focused on driving platform consumption and customer success in large complex organizations.
Deep knowledge of Salesforce ecosystem, modern cloud data platforms (e.g., Snowflake, Databricks), data analytics tools, and AI/ML concepts with a strong bias for continuous learning and innovation.
Proficient communicator able to influence at executive levels, manage stakeholder complexity, and advocate for customer needs within product and engineering teams.