Data Product Manager
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- Key details
- 1 location, IT, Product Manager, Remote, Mid, Full time
- Current openings
- 17 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 13, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
SafeGraph is a Data as a Service (DaaS) company with one focus: curating the most accurate, precise, and fresh points of interest (POI) database on the planet. We provide product builders, data scientists, and analytics teams with the location data they need to power site selection, transaction enrichment, advertising audiences, competitive intelligence, and more.
Our customers include companies like Plaid, Mapbox, Clear Channel — spanning fintech, retail, real estate, adtech, logistics, and government. We’re fully remote, lean by design, and serious about data quality.
You will play a critical role in shaping how our data products are built, validated, and trusted. This role combines product thinking with hands-on technical execution - you'll drive AI-powered product initiatives while owning the data quality processes our customers depend on. You'll sit on our Product team and work closely with Customer Success, Sales, and Engineering to identify data integrity risks early, accelerate investigations, and ship better data.
Key Responsibilities
- Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship
- Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers
- Design, develop, and implement QA procedures to proactively identify and prevent data integrity issues
- Build repeatable, automated checks to reduce reliance on manual investigation