Revenue Technology Analyst

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Revenue Technology Analyst based in United States. The Revenue Technology Analyst plays a key role in supporting and optimizing the technology ecosystem that enables modern go-to-market teams. This position combines systems support, process improvement, analytics, and cross-functional collaboration to enhance revenue operations. You will help maintain a diverse revenue technology stack, improve workflows, support integrations, and identify opportunities for automation. Working closely with operations, sales, customer success, IT, and strategy teams, you will translate business needs into scalable technical solutions. The role offers the opportunity to leverage AI-driven workflows, reporting, and automation to improve productivity and operational efficiency. This fully remote position is ideal for someone who enjoys solving complex problems, improving systems, and enabling teams through technology.
• Accountabilities: The Revenue Technology Analyst is responsible for supporting the execution, optimization, and ongoing improvement of revenue technology platforms while ensuring teams have the tools, processes, and insights needed to operate effectively. Support the technical roadmap for the revenue technology ecosystem, including a wide range of sales and go-to-market platforms. Maintain daily operational processes for revenue tools, including user provisioning, support requests, troubleshooting, and platform maintenance. Manage stakeholder requests and provide timely communication across revenue technology initiatives. Identify gaps in workflows, integrations, automations, and tooling processes, then support the implementation of practical improvements. Assist with evaluating and introducing new technology solutions that improve revenue team productivity and efficiency. Support vendor management activities, including procurement processes, renewals, performance reviews, and coordination with internal teams. Partner with Revenue Operations, Sales Strategy, Customer Success, Marketing Operations, IT, Enablement, Legal, Privacy, and Analytics teams to ensure effective tool adoption. Build and maintain reports, dashboards, and operational insights that help revenue teams make informed decisions. Document workflows, support procedures, troubleshooting guidance, and best practices to enable self-service support in a remote environment. Leverage AI-powered tools and automation capabilities to streamline internal processes and improve operational effectiveness. Support data quality initiatives, system integrations, permissions management, and reporting consistency across revenue platforms. Requirements: The ideal candidate has experience supporting revenue-focused technology environments and possesses strong analytical, communication, and problem-solving skills. Experience in Sales Operations, Revenue Operations, Customer Success Operations, systems administration, business systems, or analytics roles supporting go-to-market teams. Hands-on experience with at least two revenue or sales technology platforms such as Gong, Clari, Outreach, Groove, ZoomInfo, Gainsight, Kantata, or similar tools. Understanding of how business systems connect through integrations, automation workflows, permissions, and data management processes. Experience using AI tools in daily workflows, including automation, productivity improvements, or AI-enabled process enhancements. Exposure to technology evaluations, requirements gathering, implementation planning, enablement, or operational rollouts. Ability to identify process and tooling challenges and translate them into actionable solutions. Strong analytical skills with experience supporting reporting, dashboards, and operational insights. Excellent written and verbal communication skills with the ability to collaborate effectively across technical and non-technical teams. Ability to work independently in a remote, asynchronous environment while prioritizing competing responsibilities. Familiarity with business-to-business SaaS go-to-market models is preferred. Experience with automation tools such as Workato, Zapier, or AI-powered workflows is a plus. Knowledge of Salesforce reporting, business intelligence tools, SQL, Python, or similar data skills is beneficial but not required. Alignment with a culture focused on collaboration, ownership, continuous improvement, and innovation. Benefits: Fully remote work environment. Competitive base salary range of $95,000 - $160,800 USD annually, depending on experience, skills, location, and qualifications. Comprehensive benefits supporting health, financial security, and overall wellbeing. Flexible paid time off. Equity compensation opportunities and employee stock purchase plan. Parental leave benefits. Professional growth and development support. Dedicated resources for learning and career advancement. Access to employee resource groups supporting inclusion and community. Opportunity to work with modern AI-powered technologies and innovative revenue operations solutions.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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