Consumption Lead (Data Cloud & Agentforce)
Required skills
7+ years in customer-facing solutioning for Data, Analytics, AI, and CRM; Full-stack technical qualifications (CRM, Data Architecture, AI/ML); Experience managing technical relationships with C-Level executives; Trusted advisor experience; Experience integrating complex data architectures; Experience driving customer success in large, complex selling organizations; Deep understanding of industry-specific use cases, data architectures, and integration patterns; Persuasive verbal, written, presentation, and interpersonal communication skills; Self-starting attitude; Commitment to data ethics and privacy; Hands-on experience building 0-1 products; Excellent workshopping and whiteboarding skills.
Preferred skills
Salesforce Smart (Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds); Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products; Data Architecture & Tools (Snowflake, Databricks, Big Query, RedShift, Tableau, Looker, Power BI, DataFrames, pandas); AI & ML Expertise (predictive and generative AI, LLM models, agentic approaches, prompt engineering).
Technologies
Salesforce Data Cloud, Salesforce Agentforce, Salesforce CRM, Snowflake, Databricks, Big Query, RedShift, Tableau, Looker, Power BI, Python, R, Jupyter Notebooks.
Responsibilities
Partner with customers to accelerate Data Cloud & Agentforce consumption and ROI; Drive growth in assigned customers and use cases; Lead stakeholders and manage executive relationships; Create and implement consumption plans; Act as post-sale technical lead; Develop and implement technology strategies; Provide architectural guidance; Build and nurture positive relationships; Work across multiple selling teams and internal stakeholders; Drive onboarding, enablement, success, go-live, and healthy consumption; Create and execute a point-of-view on key use cases; Navigate Product and Engineering teams for innovations; Provide updates on KPIs; Develop mutual success plans; Guide customers on org strategy, governance, and change management; Demonstrate hands-on product knowledge; Identify risks and build mitigation plans; Produce and implement adoption paths; Build and cultivate executive-level relationships; Recommend additional Salesforce services; Communicate technical product changes; Collaborate with product teams; Accelerate adoption with sales and field engineering teams.
Seniority
Senior (7+ years experience required).
Domain
Data, Analytics, AI, CRM, Cloud Data Platforms, Marketing Technology.
