Babelstreet
OpenDirector of Product Management - Geolocation
- Location
- Reston, Virginia, United States
- Posted
- Jul 17, 2026
- Last seen
- Aug 7, 2026
About the role
Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empower s government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage . The actionable insights we deliver safeguard lives and protect critical assets around the world . Babel Street is headquartered in Reston, Virginia , with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www. babelstreet.com .
The Opportunity
We are seeking a Director of Product Management – Location Intelligence to lead the vision, strategy, and execution of our geolocation and geospatial data products.
You will own the development of data, analytics, and platform capabilities that transform location signals into meaningful, decision-ready intelligence.
Key Responsibilities
- Define and execute the product strategy for geolocation and geospatial intelligence
- Own lifecycle of location data products: ingestion, enrichment, analytics, and delivery
- Develop insights including foot traffic, origin-destination, and behavioral segmentation
- Ensure data accuracy, coverage, and reliability
- Implement privacy-by-design and ensure regulatory compliance
- Build scalable APIs and data services for geospatial capabilities
- Partner with engineering, data science, and GTM teams
Requirements
- 8+ years of Product Management experience in geolocation or geospatial analytics
- Experience building data or SaaS/DaaS platforms
- Deep understanding of location data collection and modeling
- Strong knowledge of data quality, bias, and representativeness
- Experience in privacy-sensitive environments
- Agile/Scrum expertise
- Strong communication and analytical skills
Preferred Quali
