Jobs at Anteriad

Manage the full lifecycle of client programmatic advertising campaigns, from planning and pre-sales support through execution, optimization, reporting, and wrap-up. Serve as a primary resource for clients, sales, and operations; provide targeting, budget, audience, and creative recommendations; resolve escalations; track campaign status in Salesforce; and identify upsell opportunities. Collaborate with US and India operations teams and train Customer Success colleagues on programmatic best practices.

The Marketing Insights Lead will analyze marketing performance, provide actionable recommendations, and build relationships with client stakeholders while using statistical methods and data analysis tools.

As a Data Engineer, you will design, develop, and maintain data integration solutions, optimize ETL/ELT pipelines, and support data workflows for analytics and reporting.

Lead and grow a personal enterprise client book across Singapore and SEA. Develop localized go-to-market strategies, manage pipeline and forecasting, close major accounts, collaborate with Customer Success, Proposal Center, Product and operations, and represent the company at industry events to drive revenue growth.

Manage and optimize B2B marketing campaigns, serving as the primary customer contact and liaison with sales and operations. Responsibilities include campaign setup, kickoff calls, performance monitoring, quality control, reporting, CRM updates, customer communications, QBRs, and proactive issue resolution. The role requires strong organization, communication, presentation, analytical, and problem-solving skills while operating independently in a remote environment.

Manage, build, launch, optimize, and report on paid search and paid social campaigns for clients. Analyze performance to identify growth and optimization opportunities, present results to stakeholders, and collaborate cross-functionally to integrate multi-channel analytics.

The Data Engineer at Anteriad will design, build, and optimize data pipelines, manage data integration processes, support analytics efforts, and collaborate with stakeholders to deliver scalable data solutions.

Design, build, and deploy production-grade AI applications using LLMs, agentic AI, and RAG. Architect multi-agent workflows, integrate with enterprise APIs, implement vector search and embeddings, and maintain cloud-deployed AI systems while collaborating across teams.