{"schemaVersion":"jobsearcher.job.v1","id":"27456fe8ebf27f95b39db24f","url":"https://jobsearcher.com/jobs/27456fe8ebf27f95b39db24f","canonicalUrl":"https://jobsearcher.com/jobs/27456fe8ebf27f95b39db24f","title":"Knowledge Graph Engineer","description":"About the role 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.\r\nWhat you'll do Build and scale the local knowledge graph: POI / places data systems, schema, and ontology for local businesses and listings.\r\nOwn entity resolution and entity linking across multiple, conflicting data sources.\r\nBuild merchant / listing data-quality systems that keep the graph accurate over time.\r\nFuse multi-source POI data into a single coherent representation at scale.\r\nPartner with intent and matching teams so the graph powers search, discovery, and matching.\r\nWhat we're looking for 4+ years in software engineering with direct knowledge-graph, POI, or places-data work.\r\nHands-on entity resolution / entity linking, multi-source POI fusion, or listing data-quality systems.\r\nExperience with ontology / schema design for real-world entities.\r\nComfort operating at graph scale (can speak to the size and structure of graphs you've built).\r\nStrong data-engineering fundamentals (pipelines, geospatial data a plus).\r\nNice to have Background at Google Maps / Google Knowledge Graph, Apple Maps, Foursquare, Yelp, Uber, TomTom, HERE, Meta (Mapillary), or Microsoft (Bing Maps).\r\nEntity resolution or merchant-data-quality work at Yelp, Uber, or DoorDash.\r\nThe US base salary range for this full-time position is $142,000 – $342,000 USD. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. The role may also be eligible for discretionary bonus and options.\r\nCPRA Privacy Notice for California Candidates\r\nJ-18808-Ljbffr","company":"Gotomeeting","rawCompany":"gotomeeting","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:23:44.636Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Knowledge Graph Engineer","description":"About the role 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.\r\nWhat you'll do Build and scale the local knowledge graph: POI / places data systems, schema, and ontology for local businesses and listings.\r\nOwn entity resolution and entity linking across multiple, conflicting data sources.\r\nBuild merchant / listing data-quality systems that keep the graph accurate over time.\r\nFuse multi-source POI data into a single coherent representation at scale.\r\nPartner with intent and matching teams so the graph powers search, discovery, and matching.\r\nWhat we're looking for 4+ years in software engineering with direct knowledge-graph, POI, or places-data work.\r\nHands-on entity resolution / entity linking, multi-source POI fusion, or listing data-quality systems.\r\nExperience with ontology / schema design for real-world entities.\r\nComfort operating at graph scale (can speak to the size and structure of graphs you've built).\r\nStrong data-engineering fundamentals (pipelines, geospatial data a plus).\r\nNice to have Background at Google Maps / Google Knowledge Graph, Apple Maps, Foursquare, Yelp, Uber, TomTom, HERE, Meta (Mapillary), or Microsoft (Bing Maps).\r\nEntity resolution or merchant-data-quality work at Yelp, Uber, or DoorDash.\r\nThe US base salary range for this full-time position is $142,000 – $342,000 USD. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. The role may also be eligible for discretionary bonus and options.\r\nCPRA Privacy Notice for California Candidates\r\nJ-18808-Ljbffr","datePosted":"2026-06-26T03:23:44.636Z","dateModified":"2026-06-26T03:23:44.636Z","hiringOrganization":{"@type":"Organization","name":"Gotomeeting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"27456fe8ebf27f95b39db24f"},"url":"https://jobsearcher.com/jobs/27456fe8ebf27f95b39db24f"}}