MediaRadar, Inc.

Data Engineer

• Design and supervise the implementation of comprehensive data pipelines utilizing Azure Databricks and PySpark.
• Direct a team of data engineers, performing code reviews, offering technical expertise, and cultivating a culture of ongoing learning.
• Develop high-performance schemas in PostgreSQL and refine complex SQL queries for large datasets.
• Establish and apply optimal practices for data ingestion, transformation, and storage (Delta Lake/Lakehouse patterns).
• Collaborate closely with Data Analysts, Architects, and Product Managers to convert business requirements into technical specifications.
• Promote the implementation of CI/CD, unit testing, and automated monitoring to achieve 99.9% data reliability.
• Ensure data quality, governance, and compliance through validation, documentation, and secure practices.
• Continuously improve data systems for enhanced performance, reliability, and scalability.
• Effectively engage within an agile, cross-functional project team.

Data Engineering Lead

Paralegal

• Serve as the primary liaison, providing critical support for contracting and compliance workflows between the Legal, Revenue Operations and Engineering teams.
• Manage the end-to-end process for completing and submitting all Due Diligence Questionnaires (DDQs) and Requests for Proposals (RFPs).
• Own significant portions of the Non-Disclosure Agreement (NDA), vendor, and revenue contracting processes, include review and redline of contracts based on company-standard playbook.
• Coordinate commercial and vendor contract flow, documentation, and communication between internal stakeholders to ensure efficient cross-functional workflows.
• Operate independently to support the optimization of contracting processes and adherence to compliance standards.
• Assist in integrating AI tools into legal workflows (e.g., contract review automation).
• Assist in managing the contract lifecycle process including by optimizing the use of contract management tools.

Litigation Paralegal

Customer Support

• Provide timely and accurate responses to customer inquiries and technical issues via email, chat, and phone.
• Troubleshoot and resolve technical problems related to MediaRadar’s suite of products.
• Ensure all support tickets are resolved in a timely manner, adhering to SLAs (Service Level Agreements).
• Serve as the point of contact between clients and internal teams (Customer Success, Product, Engineering) to escalate and resolve complex issues.
• Maintain clear and concise documentation of customer interactions and resolutions within the CRM (Salesforce.com).
• Identify recurring customer issues and collaborate with cross-functional teams to address root causes.
• Document and update support processes to improve efficiency and customer satisfaction.
• Gather and report customer feedback to the Product and Engineering teams for continuous product improvement.
• Work closely with the North American Customer Success team to ensure a seamless client experience.
• Communicate effectively with clients, providing updates and solutions on technical issues and product queries.
• Participate in regular team meetings to stay aligned on ongoing client needs and support initiatives.

Client Support Specialist

Human Resources

• Serve as the primary HR point of contact and trusted advisor to the Commercial leadership team.
• Partner with Commercial leaders on organizational design, workforce planning, and change management initiatives.
• Coach leaders on hiring, performance management, and career development to strengthen people capabilities across the organization.
• Manage and resolve complex employee relations issues, conducting effective, thorough, and objective investigations.
• Design, develop, and deliver tailored training programs for the organization.
• Provide coaching and guidance to managers on performance management, career development, and compensation best practices.
• Conduct root cause analysis and identify trends in employee data to inform HR strategy and process improvements.

HR Business Partner

Account Executive

• Achieve and exceed annual sales targets through a disciplined, high-activity approach to territory management.
• Develop a comprehensive understanding of the AdTech and Media landscape, staying ahead of trends to act as a trusted advisor and subject matter expert.
• Prospect and nurture a high-impact pipeline, identifying untapped opportunities within mid-market brands and their agency partners.
• Build strong professional relationships by partnering with clients to deeply understand their business objectives and competitive pain points.
• Communicate complex value propositions through tailored, compelling proposals and presentations that resonate with key decision-makers.
• Drive the full sales lifecycle with precision, from initial outreach and discovery to final contract negotiation and closure.
• Maintain rigorous forecasting and pipeline hygiene, providing leadership with clear, data-backed insights into your territory’s performance.
• Go above and beyond the standard sales cycle by identifying emerging category trends and positioning MediaRadar/Vivvix as the essential solution for the future of advertising.

Sales Executive

Operations

• Supervise, coach, and develop a team of Data Associates responsible for classification, attribution, and product catalog management.
• Monitor and manage team performance against KPIs, including throughput, accuracy, and quality benchmarks.
• Serve as the first point of escalation for workflow or process-related issues.
• Conduct regular quality reviews and provide actionable feedback to ensure data accuracy and consistency.
• Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes.
• Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets.
• Ensure compliance with governance standards, documentation, and reporting requirements.
• Train new hires and ensure associates are up to date on classification guidelines, tools, and processes.
• Report team status, coverage, productivity, and quality metrics to management.
• Foster a culture of accountability, collaboration, and continuous improvement.
• Proactively identify and address problems before they escalate, while recognizing opportunities for efficiency, automation, and quality improvements.

Team Lead, Data Operations

• Involve in Design, development, and maintenance of scalable ETL/ELT pipelines on Azure Databricks using Apache Spark (PySpark/Spark SQL).
• Design and implement both batch and real-time data ingestion and transformation processes.
• Build and manage Delta Lake tables, schemas, and data models to support efficient querying and analytics.
• Consolidate and process large-scale datasets from various structured and semi-structured sources (e.g., JSON, Parquet, Avro).
• Write optimized SQL queries for large datasets using Spark SQL and PostgreSQL.
• Develop, schedule, and monitor workflows using Databricks Workflows, Airflow or similar orchestration tools.
• Design, build, and deploy cloud-native, containerized applications on Azure Kubernetes Service (AKS) and integrate with Azure services.
• Ensure data quality, governance, and compliance through validation, documentation, and secure practices.
• Collaborate with data analysts, data architects, and business stakeholders to translate requirements into technical solutions.
• Contribute to and enforce best practices in data engineering, including version control (Git), CI/CD pipelines, and coding standards.
• Continuously enhance data systems for improved performance, reliability, and scalability.
• Mentor junior engineers and help evolve team practices and documentation.
• Stay up to date on emerging trends, technologies, and best practices in the data engineering space.
• Work effectively within an agile, cross-functional project team.

Business Intelligence Analyst

• Sales & Pipeline Reporting: Generate and maintain sales performance dashboards, pipeline tracking, and renewal forecasting reports.
• Data Audits & Cleanups: Identify and correct bad data, perform CRM data quality audits, and ensure the accuracy of key sales metrics.
• CRM Data Management: Perform backfilling of missing data, match records between systems, and ensure consistency across platforms.
• Cross-System Data Matching: Reconcile and align data across Salesforce and integrated systems to maintain a unified source of truth.
• Ad-Hoc Analysis & Reporting: Provide insights and reporting support for revenue operations, sales strategy, and leadership teams.

Reporting Analyst

Risk

• Lead the design and governance of an enterprise taxonomy and data rule framework, including business terms, entities, products, and classification hierarchies that support consistent data use.
• Translate business needs into clear, objective, and measurable data and quality rules that can be implemented, tested, and monitored.
• Develop governance frameworks that connect taxonomy → business rules → data quality standards → measurable outcomes.
• Partner with data engineering, analytics, and product teams to embed governance requirements into data pipelines, tooling, and workflows.
• Establish standards for rule authoring, validation, conflict detection, and lifecycle management.
• Drive clarity and consistency in definitions, metadata, and documentation across domains.
• Support the creation of data quality metrics, thresholds, and reporting aligned to business use cases.
• Coach and enable data owners, stewards, analysts, and associates to apply governance standards confidently and consistently.
• Contribute to governance operating models, playbooks, and training materials designed for both technical and non-technical audiences.
• Act as a thought partner on governance best practices, tooling needs, and maturity progression.