Local POI Knowledge Graph Engineer

Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.

Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.

Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).

Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.

Learn more at: NewsBreak, Nearby AI, NDot AI

Local commerce runs on trustworthy data about places, merchants, and the relationships between them. You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ontologies that turn fragmented, multi-source business data into a clean, queryable graph. If you have built places data or a knowledge graph at map or local scale, this is the core data foundation of the company.

• →Build and scale the local knowledge graph: POI / places data systems, schema, and ontology for local businesses and listings.
• →Own entity resolution and entity linking across multiple, conflicting data sources.
• →Build merchant / listing data-quality systems that keep the graph accurate over time.
• →Fuse multi-source POI data into a single coherent representation at scale.
• →Partner with intent and matching teams so the graph powers search, discovery, and matching.

• 4+ years in software engineering with direct knowledge-graph, POI, or places-data work.
• Hands-on entity resolution / entity linking, multi-source POI fusion, or listing data-quality systems.
• Experience with ontology / schema design for real-world entities.
• Comfort operating at graph scale (can speak to the size and structure of graphs you've built).
• Strong data-engineering fundamentals (pipelines, geospatial data a plus).

• Background at Google Maps / Google Knowledge Graph, Apple Maps, Foursquare, Yelp, Uber, TomTom, HERE, Meta (Mapillary), or Microsoft (Bing Maps).
• Entity resolution or merchant-data-quality work at Yelp, Uber, or DoorDash.