Anteriad

Sales

• Own and grow a personal book of business, cultivating relationships with enterprise clients across the Singapore and SEA markets.
• Develop and execute localized go-to-market strategies to increase market share.
• Deliver consistent forecasting, pipeline management, and reporting to executive leadership.
• Collaborate with internal teams (Customer Success, Proposal Center, Product and operations) to ensure a seamless and responsive client experience.
• Represent the company at industry events, client meetings, and presentations.
• Develop and maintain positive relationships with customers, including negotiating and closing major accounts.
• Collaborate with EVP on team goals and targets.

Sales Director

Performance Marketing

• Build, launch, optimize and maintain digital marketing campaigns
• Manage digital marketing campaigns for Anteriad clients, responsibly spending advertising budget
• Regularly analyze program performance to unearth new growth areas & optimization opportunities
• Regular presenting & reporting on campaign performance—constant optimization & balancing of scale/ROI
• Communicate with stakeholders at all levels within the corporation and all clients
• Work cross-functionally with other Anteriad teams to build out infrastructure that integrates traditional digital marketing reporting with multi-channel analytics to determine proper role in each client’s marketing mix
• Stay up to date on the latest paid media trends and best practices

Paid Media Analyst

Data Engineer

• Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
• Design, develop, and maintain data integration solutions using Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, and related Azure services.
• Build, manage, and optimize ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Pipelines, including pipeline orchestration, parameterization, scheduling, monitoring, and error handling.
• Develop and maintain data transformation logic using Azure Databricks notebooks and Microsoft Fabric notebooks, with a focus on performance, scalability, reusability, and operational reliability.
• Design and implement data ingestion, transformation, validation, and delivery processes across structured, semi-structured, and external data sources.
• Develop and optimize data integration processes utilizing Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, Microsoft Fabric Lakehouses, Warehouses, Pipelines, and Notebooks.
• Build and maintain SQL-based data models, stored procedures, views, automation scripts, and database objects to support operational and analytical workloads.
• Support the modernization and migration of legacy data integration processes from SSIS and on-premises platforms to cloud-based Azure and Microsoft Fabric architectures.
• Design and implement reusable pipeline patterns, data quality checks, validation controls, logging, alerting, and performance monitoring processes.
• Support new client onboarding efforts by designing and implementing reliable data ingestion, transformation, reconciliation, and validation workflows.
• Troubleshoot and resolve data pipeline, data quality, performance, and integration issues in collaboration with teams across Intelligence & Analytics.
• Design, develop, and maintain datasets, semantic models, and data structures that support reporting, analytics, and visualization solutions across Power BI, Excel, Microsoft Fabric, and other business intelligence platforms.
• Contribute to data engineering standards, documentation, best practices, and reusable frameworks that improve scalability, maintainability, and operational efficiency.
• Research, evaluate, and recommend emerging technologies and platform capabilities that improve data architecture, automation, performance, and reliability.