Lead Product Manager
CaptivateIQ
Product Manager – Internal Data Processing and Automation
MediaRadar, Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $95,000 - $115,000 per year
Job Level
Mid-LevelSenior
About the role
- Location: Remote - US (EST preferred)
- Optimize and automate core internal data processing pipelines for capture, collection, matching, and metadata tagging of advertising occurrence data across Linear TV, CTV, Digital, and Social.
- Manage product lifecycle of internal tools: understand processes, identify bottlenecks, define requirements, lead development, drive adoption of automated solutions.
- Work cross-functionally with engineering, data science, and operations to translate data challenges into product experiences.
- Define, prioritize, and own roadmap for internal data processing and automation tools.
- Write product requirements and user stories; lead sprint planning, backlog grooming, and standups.
- Collaborate with Data Science and Engineering to design, develop, and deploy ML/LLM-powered automation features.
- Serve as primary point of contact for internal data operations, engineering, and data science teams.
- Partner with Data Operations and QA to ensure deployment, validation, and optimization of automated processes.
- Monitor KPIs for internal data processes and define/track success metrics for automation initiatives.
- Support internal training and documentation efforts for new automated processes and tools.
Requirements
- 3–5 years of experience in a Product Management role at a SaaS or data-centric company, preferably with internal tools or B2B products.
- Demonstrated success in shipping features or products that have delivered measurable process improvements or business value, especially in data-intensive environments.
- Experience working closely with data scientists, ML engineers, and software engineers in an Agile development environment.
- Strong analytical curiosity and problem-solving skills, with a proven ability to dig into complex datasets, identify inefficiencies, and translate data insights into actionable improvements.
- Excellent written and verbal communication skills; able to clearly articulate complex technical concepts and data challenges to both technical and non-technical audiences.
- Familiarity with the advertising, media, or martech ecosystem, particularly regarding ad data collection and classification, is a strong plus.
- Experience with product analytics tools (e.g., Pendo, Mixpanel), project management systems (e.g., Jira), and data visualization tools is a plus.
- Exposure to or foundational understanding of Machine Learning and/or Large Language Model concepts and their application in automation.
