**Job Description**

The Opportunity

We are seeking a high-impact Senior Product Manager II to lead the strategy, modernization, and growth of a key data product within our Planning portfolio.

This is a unique opportunity to drive both the commercial expansion and operational turnaround of a product that is already profitable and trusted by advertisers, agencies, and ad sellers — yet poised for reinvention.

The ideal candidate will combine strategic vision with hands-on execution across technical modernization, process optimization, and go-to-market acceleration.

What You’ll Do

As the Senior Product Manager II, you will own the strategy, performance, and growth of a complex data product serving both internal and external customers. You will define the product roadmap, balancing improvements in delivery reliability, data quality, and scalability with the pursuit of new revenue opportunities.

You’ll collaborate closely with Data Science and Engineering to guide modernization efforts, improve process efficiency, and lead the transition to new data sources and production systems. You’ll also act as a connector across multiple teams — aligning priorities, driving execution, and fostering a culture of innovation and continuous improvement to strengthen product impact and customer value.

The Team

You’ll be part of the Planning Products organization, collaborating closely with Data Science and Engineering teams based in India. This is a pivotal role within our product organization — balancing strategic vision with executional rigor to shape the next generation of our data products.

Why This Role Matters

This is not a maintenance role. It’s an opportunity to revitalize a complex data business, modernize its foundations, and unlock new growth pathways. You’ll directly impact product profitability, customer satisfaction, and the company’s broader strategy for data commercialization.

 

**Qualifications**

Critical Skills & Experience

• A bachelor's degree in Business, Computer Science, Data Science, or a related field. Master/MBA desirable. 

• 7–10 years of progressive experience in Product Management, preferably focused on data products, data-as-a-service (DaaS), or B2B platforms. 

• Data Product Management: Proven experience managing complex, high-volume data products where the core value proposition is the quality, timeliness, and methodology of the data itself.

• Technical Fluency: Strong comfort engaging with Data Science and Engineering on technical topics such as ETL pipelines, data processing methodologies, system architecture, and machine learning in data production.

• Communication Skills: Excellent written and verbal communication skills and the ability to communicate with both technical and non-technical audiences.

• Operational Improvement: Demonstrated success in identifying and resolving systemic bottlenecks (e.g., missed SLAs, production delays) to significantly improve throughput and customer satisfaction.

• Product Acumen: Experience building 0-to-1 products, leading client discovery, executing test and learn research and adjusting product build direction due to changes in priorities and new information. Experience working with internal stakeholders to identify new commercial models, pricing, and packaging strategies that unlock new revenue streams from existing products. 

• Stakeholder Leadership: Exceptional ability to influence and align diverse cross-functional teams (local and remote) around a shared technical and business vision.

Desired:

• Experience in Ad Tech, Media Measurement, or Digital Advertising, particularly with planning, buying, or campaign data products.

• Technical knowledge of the advertising stack and direct experience building linear, digital, cross-platform planning & measurement, DSPs, SSPs, Ad servers, Data-Driven Planning, Activation, Programmatic Buying and Measurement solutions in CTV/OTT environments.

• Experience working with cross-channel measurement and planning systems across TV, CTV/OTT, and digital platforms.

• Background in large-scale data migrations or technical modernization programs.

• Exposure to AI/ML applications in data processing or product operations.

**Additional Information**

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