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 empowers 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 Qualifications  * Familiarity with GIS and spatial analytics tools * Experience with predictive modeling or movement analysis * Background in API-based products * Exposure to AI/ML in geospatial analytics Why Join Babel Street  This role offers the opportunity to define how geospatial intelligence is applied to high-impact, real-world challenges. You will work at the intersection of location data, advanced analytics, and mission-critical decision-making.  Benefits at Babel Street (just to name a few...) * Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family! * Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match. * Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives. * Holidays: Babel Street provides employees with 12 paid Federal Holidays * Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                  Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.   Range for this position based on qualifications and experience $140,000—$170,000 USD