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Vice President Knowledge Graph Software Engineer Jobs

Knowledge Graph Engineer

Mountain View, CA · On-site

$142K - $342K/yr

What we're looking for * 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 ...

What we're looking for * 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 ...

What we're looking for * 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 ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Experience in customer-facing roles within software or SaaS environments * Strong communication and ...

Knowledge Graph Engineer Location: Atlanta GA / Frisco TX Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid : About the Role: * We are looking for an experienced Knowledge Graph ...

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

What's required * 3+ years of experience in knowledge graph engineering, graph database development, or related work. * Proven experience leading technical teams and mentoring engineers to develop ...

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Vice President Knowledge Graph Software Engineer information

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$130K

$194.4K

$250K

How much do vice president knowledge graph software engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for vice president knowledge graph software engineer in the United States is $194,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,500.00 and $225,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs? The most popular types of Knowledge Graph Software Engineer jobs are:
Infographic showing various Vice President Knowledge Graph Software Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 12% Full Time, 84% Part Time, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $194,354 per year, or $93.4 per hour.
Knowledge Graph Engineer

Knowledge Graph Engineer

NewsBreak

Mountain View, CA

Other

Posted 3 days ago


Job 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.

What you'll do
  • 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.
What we're looking for
  • 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).
Nice to have
  • 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.