Job
In this role, you analyze CRM and revenue systems, identify inconsistencies, and develop solutions to improve processes and data management in SaaS projects, ensuring operational excellence.
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Job technologies
Your role in the team
- We are seeking experienced Salesforce / HubSpot Administrators - Revenue Systems (SaaS) to support a customer project focused on operational excellence across CRM and revenue systems.
- You will use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows.
- Audit CRM and integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues.
- Analyze policy conflicts and determine appropriate business rules.
- Review and reconcile data across CRM and connected platforms.
- Create clear operational prompts and documentation for complex SaaS scenarios.
- Document recommended system changes and operational decisions.
- Assess the impact of CRM changes on billing, CPQ, ticketing, and other integrated tools.
- Provide insights on CRM optimization, system design, and sustainable governance.
Our expectations of you
Qualifications
- Starkes Wissen in den Bereichen, Objekten, Flows, Validierungsregeln, Automatisierung und Berechtigungen.
- Working knowledge of SQL, APIs, data models, and cross-system data reconciliation.
- Excellent written and verbal English communication skills.
Experience
- 4-6 years of hands-on experience with Salesforce, HubSpot, Microsoft Dynamics 365, or similar CRM platforms.
- Experience leading CRM implementations, migrations, consolidations, or rollouts.
- Experience with at least two revenue or operational systems such as billing, CPQ, ticketing, or integration platforms.
- Experience working in SaaS environments.
What we offer
- Role Type: Contractor
- Location: Remote
Topics you will work on
Job locations
About your employer
YO AI Labs is a company specializing in AI data solutions, providing high-quality training data, evaluations, and human feedback for AI models. The company collaborates with professionals from various regions and supports applications in areas such as Generative AI, Computer Vision, NLP, and RLHF.
- Startup
- Full Remote
- Internet, IT, Telecommunication
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