Jobs at MediaRadar

Provide technical support to North American clients via email, chat, and phone; troubleshoot product issues; manage and resolve support tickets per SLAs; document interactions in Salesforce; escalate complex issues to Product and Engineering and suggest process improvements to enhance client experience.

Lead global operations for assigned creative types and industries: drive process improvements, own strategic projects and change management, troubleshoot complex client issues, maintain master product catalog and systems knowledge, analyze data to recommend optimizations, and partner cross-functionally to scale quality and efficiency.

Audit and validate ad data across classification, attribution, and mapping workflows; identify defects and root causes; drive corrective actions, SOP updates, coaching, and reporting; audit AI/HiTL outputs and provide structured feedback to improve model and process accuracy.

Build and deploy small, plug-and-play AI-assisted automations and prompts for Data Ops and Governance. Identify opportunities, prototype, measure impact, maintain prompt libraries, support production deployment, and escalate larger needs to engineering with clear requirements.

Maintain and operationalize the companys data governance artifacts: author and version taxonomies, business glossary terms, and data rules; detect and resolve rule conflicts and gaps; manage metadata and change history; support intake and certification of reference data; produce documentation and governance reporting to ensure rules are usable in production classification and quality workflows.

Design and execute risk-based audits and sampling of classification, reference, and governed datasets. Test outputs versus rules and thresholds, quantify quality across dimensions, investigate root causes, and produce audit findings, scorecards, and assurance reports to improve processes and maintain audit evidence.

Build and operate automated data quality checks, monitoring, alerting, and dashboards; integrate quality into data pipelines and governance tooling; automate anomaly detection and support auditors, analysts, and stewards to surface issues in near-real-time.

Own M&A transaction modeling and diligence and alternate into recurring FP&A: monthly reporting, cash forecasting, lender/covenant reporting, integration tracking, and capital allocation analysis for a B2B SaaS business.

Produce high-volume (10+ daily) B2B news articles by researching industries and companies, monitor trends and ad/financial data, perform basic database entry, follow AP and in-house editorial guidelines, and collaborate with researchers, marketing, and product teams to improve content workflows and automation.