Zoomph

Product Manager, Benchmarking

United States

Sponsorship not specifiedDetected 16 days ago

Data EngineeringFigmaProduct ManagementCustomer SuccessCommunicationCollaborationOrganizational Skills

About the role

The role combines hands-on product management with a social analytics background and a forward-leaning view of data access, shaping raw data into the right database structure and delivering it through MCP and APIs to customers and AI-driven applications.
The benchmarking dataset is social-first today and will expand to broadcast and streaming, so the role works closely with data engineering on the ETL pipelines that ingest, normalize, and grow it.

Own and maintain the product backlog and roadmap for Zoomph's benchmarking solution, writing clear user stories, acceptance criteria, and specs.
Drive features from concept through launch, partnering with engineering and design to deliver on schedule and to spec.
Gather and synthesize feedback from sales, customer success, leagues, teams, and brand partners to inform priorities.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.

Coordinate releases and keep internal teams informed on what is shipping and when.
Enable sales and customer success on new benchmarking capabilities through clear documentation.
Job Requirements
3-5 years of product management experience, ideally in SaaS, analytics, or media technology.
Social analytics or social-first background, with a strong understanding of social data and metrics.
Comfort working with ETL pipelines and growing, multi-source datasets.
Experience writing requirements, user stories, and managing a product backlog.
Familiarity with sports, media, sponsorship, or benchmarking data is strongly preferred.

Define and monitor data quality, coverage, and freshness targets, and prioritize improvements with engineering and data.

Decisions related to hiring, compensation, training, evaluating performance, or termination are made fairly, and we provide equal employment opportunities to all qualified candidates and employees and prohibit all forms of employment discri

Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Missouri, New York, North Carolina, South Carolina, Tennessee, Texas, and Virginia.
Define the database structure and access layer for pre-processed benchmark data so customers get instant comparisons across leagues, teams, and brands.
Partner with engineering to expose benchmark data through MCP and APIs so it is accessible to customers and AI-driven applications.

"We examine our unconscious biases and take responsibility for always striving to create an inclusive environment that makes every employee and applicant feel welcome.
Zoomph is committed to providing a workplace free from discrimination or harassment.
We expect every member of the Zoomph community to do their part to cultivate and maintain an environment where everyone has the opportunity to feel included and is afforded the respect and dignity they deserve.
Decisions related to hiring, compensation, training, evaluating performance, or termination are made fairly, and we provide equal employment opportunities to all qualified candidates and employees and prohibit all forms of employment discrimination, including harassment, because of race, color, sex, gender, age, religion or religious creed, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law."

Familiarity with sports, media, sponsorship, or benchmarking data is strongly preferred.

This listing is sourced directly from Zoomph's careers page and normalized into a canonical job model.