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 and mentor a distributed data engineering team while architecting and building a next-generation, largely open-source data platform. Own hands-on POCs, pipeline design, schema and query optimization, ETL reliability, observability, testing, and CI/CD. Evaluate and recommend technologies, drive migration from vendor lock-in, and translate advertising and market research needs into robust technical solutions.

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.

Lead global expansion product strategy and roadmap, validate concepts with customers and prototypes, drive cross-functional delivery through agile SDLC, define user-centric requirements, collaborate on go-to-market materials and executive engagement.

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.

Lead and grow a team of ~15 client partners to drive retention, product adoption, and revenue expansion across brand and agency accounts. Set segment strategy, build executive client relationships, collaborate cross-functionally on go-to-market and product feedback, implement scalable account planning and forecasting, and coach high-performing teams to deliver consistent, measurable client outcomes.

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.

Lead global operations for assigned creative types and industries, drive strategic process and system improvements, perform advanced troubleshooting and quality audits, manage cross-functional projects and change rollout, maintain master product catalog knowledge, analyze data to inform decisions, and present business cases to leadership to improve efficiency and quality.

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.

Provide legal support for commercial operations by drafting, reviewing, and negotiating SaaS, vendor, partnership, and other commercial agreements. Maintain and improve contract templates and playbooks, manage contract lifecycle tools, and draft privacy-related documents (DPAs, privacy policies, terms). Support AI tool integration into legal workflows and handle ad hoc legal projects across the company.

Lead mid-market new-logo hunting across publishers and ad tech, own territory and pipeline, exceed revenue targets, drive outbound prospecting, manage full sales lifecycle, engage stakeholders through C-suite, negotiate complex deals, and expand accounts while maintaining disciplined forecasting and pipeline hygiene.

Partner with Strategic Finance and Revenue Operations to build cohort, retention, LTV/CAC, pricing, and unit-economics models. Source and normalize commercial data, produce auditable Excel analyses, and operationalize validated models into Power BI for executive decision-making.

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.

The Sales Executive will acquire new business, master territory management, nurture high-impact pipelines, and drive the complete sales lifecycle while exceeding sales targets through effective strategies and relationship-building.

The Customer Success Manager will engage post-sales with large enterprise customers, drive user adoption, provide consultations, and analyze customer data to enhance engagement and mitigate churn risk.