Job Description
Location: India Remote
About MediaRadar
MediaRadar powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights spanning the media, creative, and business strategies of five million brands across 30+ media channels.
Our Data Platforms & Analytics team is the engine behind it all — responsible for capturing, cleaning, enriching, and classifying ad creative across TV, Digital, Print, and beyond. We use AI and ML at the core of everything we build, and we are in an exciting phase of extending that automation across every data workflow we own.
About the Role
We are looking for a Product Manager to own the capture quality and scalability of MediaRadar’s creative pipeline — a foundational data stream that powers intelligence across the business.
This is not a generalist PM role. You will own specific, critical workflows end-to-end: our in-house creative capture systems, and the third-party vendor relationships that extend our coverage across TV, Digital, and Print and our TV scheduling and program guide infrastructure. You will work cross-functionally with operations, ML/AI engineering, data engineering, and commercial teams to drive automation, improve capture quality, and eliminate manual bottlenecks.
The north star outcome for this role: clients get complete, accurate, and well-categorized ad coverage across channels — without proportional headcount growth. You will own that outcome end-to-end.
You will be expected to develop strong AI/ML PM skills — not just manage backlogs, but understand model behavior, contribute to feedback loop design, and think rigorously about data quality as a product problem.
What We’re Looking For:
• 1–10 years of product management, technical program management, or closely related experience at a data-centric or technology company.
• Ability to write clear, detailed, technically grounded requirements — user stories and specs that engineering teams can act on without a follow-up meeting.
• Analytical mindset: comfort working with data to pull your own answers, validate assumptions, and dig into problems independently.
• Strong written communication skills — you will collaborate across multiple time zones and written clarity is a core job skill.
• Self-directed and execution-oriented: you identify the work, prioritize, and drive to completion.
Nice to Have
• Exposure to advertising, media measurement, or data intelligence.
• Familiarity with TV data, program guides, or broadcast/streaming workflows.
• Any hands-on exposure to ML/AI-driven data pipelines — you don’t need to write models, but understanding what makes them better matters.
• Experience working with distributed teams across time zones (India, Europe).
• Familiarity with tools like Jira, Databricks, or similar data/engineering platforms.
What We Value Above All Else
• Drive over credentials.
– We want someone who digs. Who sees a number that doesn’t look right and goes and finds out why. Who asks the second and third question.
• Execution orientation.
– Ideas are easy. Shipping is hard. We need someone who takes things from concept to production — including navigating the friction, the blockers, and the ambiguity in between.
• Technical empathy.
– You don’t need to be an engineer, but you need to earn the respect of engineers. That means understanding tradeoffs, writing clean requirements, and knowing when to push and when to defer.
What You’ll Own:
Creative Pipeline Capture Quality & Scalability
• Own the PM roadmap for ad creative capture across TV, Digital, and Print — with a focus on automation and coverage expansion.
• Drive vendor management and requirement clarity with third-party data partners; write detailed, actionable user stories that enable engineering delivery without ambiguity.
• Identify gaps in capture coverage and develop plans to close them, prioritizing highest-impact improvements first.
• Partner closely with operations teams to ensure workflows are aligned with product improvements and that manual effort is continuously reduced.
TV Scheduling & Reference Data
• Own the program guide and scheduling data pipeline — ensuring TV schedule and reference data is accurate, timely, and integrated with downstream enrichment workflows.
• Drive the modernization roadmap for scheduling infrastructure, working closely with engineering to sequence work correctly.
• Maintain a deep understanding of how scheduling data feeds into TV ad attribution and classification — and ensure that linkage is robust.
Model Ownership & Human-in-the-Loop Feedback
• Each capture and enrichment domain has PM-side model ownership. You will own the model quality feedback loop for your data streams — understanding confidence scores, surfacing false positives and negatives, and working with ML engineering to improve model performance over time.
• Contribute to Human-in-the-Loop (HiTL) workflow design for junk detection, deduplication, and classification confidence in your domain.
• Develop fluency in AI/ML concepts as they apply to your workflows — evals, prompt engineering basics, and data quality as a feature, not just an output.
Cross-Functional Collaboration
• Work as a true cross-functional partner — not a ticket writer. Your stakeholders will span ML engineers, data engineers, content operations, and commercial product leads across multiple time zones.
• Manage competing priorities across time zones with clarity and judgment — know what to push, what to defer, and what to escalate.
• Surface insights and risks proactively; this team moves fast and your stakeholders will rely on you to flag problems before they become incidents.
In addition to career progression, training and development, and an excellent work/life balance, future Radarians can expect a great benefits package that includes:
- Medical, Dental & Vision Insurance
- 401k with Company Match
- Flexible PTO
- Commuter Benefits
- Gym Discounts
- Summer Fridays
At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [email protected] .
We’re excited to meet people who share our values and want to build the future with us!
