Sr. Revenue Systems and Operations Specialist
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Some ghost-posting signals
- open for 644 days (90+ without a fill is a strong ghost signal)
- 161 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
WHAT YOU WILL BE DOING
Own the Technical Scoping: Lead the intake, scoping, and formal documentation of RevOps and Salesforce requests across the business, turning high-level ideas into detailed technical specifications.
Bridge the Gap: Translate complex business requirements into clear user stories, functional criteria, and data models that development and architecture teams can execute without friction.
Lead Deployment: Management of mid-sized technical projects (Salesforce enhancements, automated workflows, third-party integrations) from concept through UAT and deployment.
Manage Tech Priorities: Support prioritization efforts by conducting rigorous scoping and level-of-effort (LOE) assessments across technical requests.
Process Optimization: Map out "as-is" and "to-be" technical processes to identify gaps or inefficiencies, proactively recommending architectural improvements.
Maintain Governance: Ensure strict data integrity, system security, and documentation standards across Salesforce and related tech stack integrations.
WHAT YOU BRING
3–5 years of experience in revenue operations, sales operations, or business analysis, with a heavy emphasis on Salesforce systems design and project leadership.
Advanced Salesforce Expertise: A proven track record of translating complex business needs into detailed technical requirements, object models, validation rules, and process logic for developers and architects.
Technical Documentation Skills: Expert-level ability to write clear user stories, acceptance criteria, process maps, and technical specifications.
Stakeholder Alignment: Exceptional communication skills, with the ability to push back constructively, manage technical scope creep, and guide senior stakeholders through technical limitations and possibilities.
Analytical & Architecture Mindset: Strong data modeling and analytical skills, with a focus on building scalable systems that preserve data integrity.
Agile Methodology: Experience working closely with development teams in an Agile/Scrum environment is highly preferred.
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