Capgemini
Salesforce Consultant(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Berlin, Hamburg, München, Köln, Frankfurt am Main, Stuttgart, Dortmund, Hannover, Nürnberg, Karlsruhe
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STStatista
Revenue Technology Consultant - Salesforce(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and implementing Salesforce solutions for a global business data platform. 3-5 years of Salesforce, RevOps, or GTM systems experience required. Hybrid work, flex-time, and 30 days work abroad.
Requirements
- 3-5 years in Salesforce, RevOps, or GTM systems roles, ideally in SaaS
- Strong Salesforce skills (Flows, automation, data model)
- Experience with CPQ or quote-to-cash processes
- Familiarity with GTM tools (Clay, LinkedIn Sales Navigator, meeting intelligence tools)
- Ability to understand business goals and design technical solutions
- Ownership mindset and ability to work independently
- Comfortable using AI tools (Langdock, Claude Code)
- Experience with Salesforce AI capabilities (Einstein features, AI-driven automation)
- Practical experience applying AI to sales or revenue workflows
- Salesforce certifications
- RevOps / Business Systems background
Tasks
- Partner with Sales, RevOps, and CS stakeholders
- Identify revenue process inefficiencies
- Translate challenges into system improvements
- Design and implement Salesforce solutions
- Enhance adjacent tools for speed and scalability
- Improve lead routing workflows
- Optimize pipeline management
- Streamline CPQ processes
- Enhance customer lifecycle management
- Reduce friction in core workflows
- Increase operational efficiency
- Ensure tools are user-friendly and well-integrated
- Support data quality and reporting
- Integrate AI for workflow enhancement
- Communicate with technical and non-technical stakeholders
- Proactively identify issues and opportunities
Work Experience
- 3 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Salesforce
- CPQ
- Clay
- LinkedIn Sales Navigator
- Langdock
- Claude Code
- Einstein
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad (30 days/year)
Team Events
- International team events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free access to Langdock
Career Advancement
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- Modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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STStatista
Revenue Technology Consultant - Salesforce(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and implementing Salesforce solutions for a global business data platform. 3-5 years of Salesforce, RevOps, or GTM systems experience required. Hybrid work, flex-time, and 30 days work abroad.
Requirements
- 3-5 years in Salesforce, RevOps, or GTM systems roles, ideally in SaaS
- Strong Salesforce skills (Flows, automation, data model)
- Experience with CPQ or quote-to-cash processes
- Familiarity with GTM tools (Clay, LinkedIn Sales Navigator, meeting intelligence tools)
- Ability to understand business goals and design technical solutions
- Ownership mindset and ability to work independently
- Comfortable using AI tools (Langdock, Claude Code)
- Experience with Salesforce AI capabilities (Einstein features, AI-driven automation)
- Practical experience applying AI to sales or revenue workflows
- Salesforce certifications
- RevOps / Business Systems background
Tasks
- Partner with Sales, RevOps, and CS stakeholders
- Identify revenue process inefficiencies
- Translate challenges into system improvements
- Design and implement Salesforce solutions
- Enhance adjacent tools for speed and scalability
- Improve lead routing workflows
- Optimize pipeline management
- Streamline CPQ processes
- Enhance customer lifecycle management
- Reduce friction in core workflows
- Increase operational efficiency
- Ensure tools are user-friendly and well-integrated
- Support data quality and reporting
- Integrate AI for workflow enhancement
- Communicate with technical and non-technical stakeholders
- Proactively identify issues and opportunities
Work Experience
- 3 - 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Salesforce
- CPQ
- Clay
- LinkedIn Sales Navigator
- Langdock
- Claude Code
- Einstein
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad (30 days/year)
Team Events
- International team events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free access to Langdock
Career Advancement
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- Modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Statista
Industry
IT
Description
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
Not a perfect match?
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