About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
The Global ESS Sales Operations Manager / Associate Manager will act as a key business partner for Global ESS Sales Operations, supporting revenue forecast discipline and end-to-end operational governance across GCR, JP, KR, and SEA. This role is designed as a second owner for Global ESS Sales Ops.
The role will co-manage two major pillars: Revenue Forecast and Operation. The person should be able to connect business context, Salesforce data, contract readiness, pricing governance, and cross-functional execution to improve revenue visibility and operational quality.
1. Revenue Forecast & Management Reporting
Support weekly and monthly tracking of target attainment, backlog status, pipeline movement, renewal progress, and revenue realization.
Review forecast assumptions, close dates, activation dates, deal stages, and pipeline hygiene to improve forecast accuracy.
Prepare regional and global business updates, deal risk summaries, forecast variance analysis, and management reporting materials.
Track renewal, upsell, downgrade, churn, and activation risks to support leadership decision-making.
2. Operation Governance & Deal Review
Own first-level deal review for New, Upsell, Renewal, Downgrade, Churn, and special pricing cases.
Review Salesforce opportunity data, including MRR, ACV, product scope, contract period, activation date, billing terms, discount rate, and approval status.
Drive Salesforce data hygiene by collaborating with relevant stakeholders to clean, validate, and maintain CRM data, ensuring data accuracy and reliable reporting output.
Validate pricing structure, discount level, margin status, approval path, and required supporting evidence.
Identify low-margin deals, pricing exceptions, special terms, and contract risks; prepare escalation summaries for management review.
Ensure operational consistency across regions while maintaining flexibility for region-specific commercial needs.
3. Contract Readiness & Cross-functional Coordination
Ensure alignment among Salesforce data, approved commercial terms, service scope, report logic, and financial reporting before contract issuance.
Coordinate with Sales, CSM, Legal, Finance, Product, Strategy, and MIS teams to resolve deal blockers and execution risks.
Track pending approvals, missing information, contract review status, and operational blockers to support timely deal closure.
4. AI-enabled and Continuously Evolving Sales Operations
Leverage AI tools to improve Sales Operations efficiency, including SFDC data validation, forecast summary generation, pricing case comparison, meeting preparation, documentation, and recurring issue analysis.
Use AI tools to identify operational blind spots, summarize case history, compare similar deal structures, and improve quality control before management escalation.
Develop AI-enabled workflows and checklists to reduce manual work while keeping Sales Operations processes aligned with evolving products, business models, and governance requirements.
Dynamically track product changes, pricing model updates, service scope adjustments, and system workflow changes to ensure Operation processes remain up to date and continuously optimized.
** About you**
[Minimum qualifications]
5+ years of experience in Sales Operations, Revenue Operations, Deal Desk, Business Operations, Commercial Operations, or Business Intelligence.
Experience in SaaS, subscription business, B2B software, or enterprise technology is preferred.
Strong understanding of revenue operations, including MRR, ACV, renewal, upsell, discount, contract term, approval workflow, and forecast governance.
Strong analytical skills and business acumen, with the ability to identify commercial risks and operational inconsistencies.
Detail-oriented and able to manage multiple priorities in a fast-paced, multi-region environment.
Strong cross-functional communication skills with Sales, Legal, Finance, Product, Customer Success, Strategy, and MIS teams.
Familiar with Salesforce and comfortable working with CRM data, reports, dashboards, approval processes, and CRM data hygiene.
Strong Excel / Google Sheets capability.
Comfortable using AI tools to improve productivity, data validation, documentation, business review preparation, and process optimization.
Effective, clear, and concise communication skills in both written and verbal communication.
Business English capability is required; Japanese or Korean language capability is a plus.
[Preferred qualifications]
Experience in SaaS Deal Desk, pricing governance, commercial approval, or revenue operations.
Experience supporting multi-region Sales teams or global revenue operation processes.
Experience building Sales Ops SOPs, approval workflows, reporting dashboards, AI-enabled operation templates, or CRM data hygiene mechanisms.
Familiarity with pricing model review, margin assessment, or profitability analysis.
Salesforce Admin Certification is a plus, but not required.
Business-minded operator who can connect revenue forecast, deal execution, pricing governance, contract readiness, and Salesforce data quality.
Reliable second owner who can independently manage global operation workflows and serve as mutual backup for business continuity.
Process optimizer who can keep Sales Operations workflows aligned with product evolution, pricing model changes, reporting needs, and organizational requirements.
Practical AI adopter who can use AI tools to improve operational efficiency without compromising governance quality or data accuracy.
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Appier is an AI software company that provides marketing and customer intelligence solutions for enterprises. They serve e-commerce, retail, and consumer brands across Asia and globally, offering tools for customer acquisition, retention, and personalization through machine learning technologies.
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