Jobs at MediaRadar

Partners with Commercial leaders as a trusted HR advisor, supporting organizational design, workforce planning, performance management, employee relations, talent development, compensation, and change initiatives. Coaches managers, conducts investigations, develops training programs, analyzes employee data, and contributes to scalable company-wide People programs in a fast-paced technology or SaaS environment.

Conduct daily audits of ad classification, attribution, mapping, and data-processing workflows. Identify defects, investigate root causes, provide associate feedback, support calibration, maintain SOPs, report quality trends, and recommend process improvements. The role also audits AI and human-in-the-loop outputs, contributes feedback for ML accuracy, supports client issue resolution, and partners with governance, data engineering, ML, and product teams.

Leads a team of 15–20 Data Associates managing classification, attribution, and product catalog workflows. Oversees throughput, accuracy, quality, SLAs, scheduling, training, and workload balancing. Uses dashboards and performance data to identify bottlenecks, coach employees, resolve escalations, and improve processes. Partners with Quality, Training, Governance, Automation, and management teams to strengthen workflows, support new datasets and media channels, and maintain high-quality operational output.

Reviews advertising content using proprietary platforms, applies SOPs, identifies missing or inconsistent media details, completes high-volume data tasks, meets productivity and quality benchmarks, reports metrics, and escalates exceptions. The role requires strong attention to detail, process adherence, willingness to learn, and effective communication while working rotational schedules.

Own the full new-business sales cycle, including outbound prospecting, discovery, tailored software demos, negotiation, and closing. Build and manage a pipeline of new logos, engage marketing and revenue leaders through the C-suite, communicate MediaRadar’s competitive value, exceed revenue targets, and collaborate with the sales team to improve performance.

Leads and develops a sales team, drives performance against goals, coaches team members, supports key opportunities, manages forecasting and pipeline activity, contributes to hiring and onboarding, shares sales best practices, collaborates cross-functionally, and fosters a high-performing team culture.

Provide email, chat, and phone support to North American clients; troubleshoot MediaRadar product issues; manage support tickets according to SLAs; document resolutions in Salesforce; escalate complex issues; identify recurring problems; improve support processes; collect customer feedback; and collaborate with Customer Success, Product, and Engineering teams.

Manage the health, retention, renewal, and growth of a $2M+ SaaS client portfolio. Build executive relationships, drive product adoption, negotiate renewals and pricing, identify expansion opportunities, coordinate onboarding and issue resolution, maintain Salesforce pipeline records, and provide industry and client feedback to internal commercial and product teams.

Leads global enterprise new-business acquisition and strategic account expansion across publishers, brands, agencies, and AdTech companies. Builds territory strategy and pipeline, navigates complex multinational organizations, develops executive relationships, translates advertising intelligence into commercial value, manages negotiations and closures, and maintains accurate forecasting. Requires strong advertising ecosystem expertise, consultative selling ability, and a record of closing complex, high-value agreements.

Own complex full-stack features across MediaRadar’s Insights Studio platform, lead migration of Creative Intelligence, consolidate applications onto ClickHouse, and optimize performance for large advertising datasets. Use Claude Code in daily agentic development, deploy systems on Azure or AWS, mentor engineers, and drive testing, observability, documentation, and engineering standards while collaborating across international teams.

Own the product strategy and roadmap for media pricing, buying, and transactions. Partner with customers, commercial teams, product, design, and engineering to define use cases, validate concepts, prioritize requirements, and deliver customer value. Lead agile execution, customer feedback management, go-to-market enablement, and executive communication. The role requires strong analytical, communication, and product leadership skills in SaaS, data, advertising, media, or ad tech environments.

Generate qualified sales pipeline for MediaRadar’s Brands and Agencies business through strategic outbound prospecting. Responsibilities include multi-channel outreach, stakeholder identification, lead qualification, meeting booking, account research, personalized messaging, CRM and sales engagement platform management, quota attainment, and collaboration with Account Executives, Marketing, and RevOps. The role requires knowledge of advertising and media buying, strong communication skills, organization, and 1–3 years of outbound sales or business development experience.

Build scalable AI and machine learning systems for advertising intelligence, including classification, attribution, brand deduplication, RAG pipelines, and multi-agent workflows. The role requires expert Python, deep SQL and vector database expertise, strong software architecture, high-throughput data ingestion, observability with Langfuse, and independent end-to-end ownership of AI solutions.

Build and operate production ETL/ELT pipelines processing millions of daily data points. Design schemas, optimize SQL and databases, implement testing and observability, and support migration from Azure Databricks to an open-source AWS-based stack. Evaluate new tools through proofs of concept, use AI coding assistants responsibly, and collaborate with distributed engineering teams on reliable end-to-end data delivery.

Lead and mentor a Madrid-based data engineering team while remaining hands-on in designing schemas, optimizing SQL, building ETL/ELT pipelines, and prototyping modern data tools. Drive migration from Azure Databricks toward an open-source, AWS-based architecture using technologies such as ClickHouse, dbt, and orchestration frameworks. Establish testing, monitoring, observability, CI/CD, and AI-assisted development practices while ensuring reliable, high-volume data delivery.

Own complex software systems end to end, architect cloud-native platforms on AWS or Azure, and build agentic LLM-powered insight workflows. Mentor engineers, drive testing and observability standards, and collaborate with Product, Data, and Operations on technical strategy. The role focuses on scaling MediaRadar’s advertising intelligence platform globally, including European expansion and sports-media data capabilities.

Develop and maintain moderately complex full-stack features across UI, business logic, databases, and external interfaces. The engineer will use Python, cloud platforms, SQL, testing, deployment, and code review practices while collaborating with Product, Data, and Engineering teams. The role offers exposure to AI agentic systems, advertising technology, media intelligence, and globally distributed development.

Own global enterprise sales for MediaRadar, focusing on new-logo acquisition and strategic account expansion across publishers, global brands, agencies, and AdTech companies. Build territory strategy and pipeline, navigate complex multi-market organizations, engage senior executives, translate advertising intelligence into commercial value, lead negotiations, close high-value agreements, and maintain accurate forecasts. The role requires consultative selling, deep advertising ecosystem knowledge, and experience with sophisticated data or SaaS solutions.

Supports corporate accounting and financial operations, including general ledger, revenue recognition, billing, financial reporting, audits, tax, treasury, GAAP compliance, and internal controls. Partners across Finance, Sales, and Revenue Operations to improve order-to-cash processes and systems. Supports ERP enhancements, accounting policy implementation, process automation, M&A integrations, financial carve-outs, KPI development, and accounting team mentoring.