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Senior Specialist Account Executive, Data 360 – Agentforce
Salesforce. Identify, qualify, and close Data 360 and Agentforce opportunities, with annual contract value as the core target .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex sales processes, connecting data solutions to business challenges, and delivering measurable outcomes. Proficient in analyzing pipeline data and collaborating across teams to drive sales success in a fast-paced environment.
Highest-signal resume keywords
Multi-Stakeholder Sales ProcessesData Solutions AlignmentPipeline AnalysisBusiness-Level German CommunicationSalesforce Platform Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data 360AgentforceCloud Data WarehousesData LakesCustomer Data PlatformsBusiness Intelligence ToolsAnalyticsAI ConceptsSales Process ManagementNegotiation Skills
Soft Skills
Analytical ThinkingStrategic ThinkingCollaborationCoachingAdaptability
Tools & Technologies
SalesforceTableauSnowflakeDatabricksBigQuery
Industry Keywords
Pipeline GenerationBusiness CasesCustomer StoriesReference StoriesPartner Collaboration
Tech Stack
Tools & technologiesBigQueryCloudSnowflakeTableau
About the role
Key responsibilities & impact- Identify, qualify, and close Data 360 and Agentforce opportunities, with annual contract value as the core target
- Support and lead deals with account teams, solution engineers, product specialists, and partners
- Lead discovery to uncover business problems and assess whether Data 360 can solve them
- Build business cases linking solutions to measurable outcomes
- Navigate complex, multi-stakeholder negotiations through close
- Analyze ACV, pipeline, and pipeline generation, identify gaps, and implement corrective plans
- Plan and run events and campaigns that generate pipeline and advance deals
- Train and coach account executives to identify and sell Data 360 opportunities
- Create and maintain case studies, knowledge bases, customer stories, and other selling assets
- Turn customer wins into reference stories and proven use cases into repeatable segment plays
- Share expertise at company events, customer seminars, and other suitable formats
- Align with sales leaders on segment priorities and plans
Requirements
What you’ll need- Ability to run structured, high-value, multi-stakeholder sales processes from qualification through negotiation and close
- Ability to connect solutions to business problems and demonstrate results against targets
- Analytical and strategic thinking, including interpreting pipeline, conversion, and revenue data
- Ownership of goals and adaptability in a fast-growing market
- Ability to lead discovery conversations and deliver evidence-based stories to technical and business audiences
- Understanding of modern data platforms, including cloud data warehouses, data lakes, customer data platforms, integration, and BI tools
- Ability to explain data and AI concepts to non-technical audiences
- Curiosity about AI agents and their business applications
- Ability to collaborate across teams, teach, and enable others
- Business-level German and English communication and negotiation skills
- Experience with customer data platforms, data warehouses, data lakes, analytics, or AI products is an advantage
- Experience scaling a fast-growing product or offering is an advantage
- Familiarity with Salesforce platform, Tableau, Snowflake, Databricks, or BigQuery is an advantage
- Experience working with partners and system integrators is an advantage
- No required degree, number of years, or job title
Benefits
Comp & perks- Benefits and resources supporting balance and wellbeing
- Reasonable accommodation during the application or recruiting process
- Equality, accessibility, and inclusion initiatives
- AI agents intended to accelerate employee impact