- Location
- Mountain View, United States · Onsite
- Compensation
- $280k – $342k
- Employment
- Full-time
- Experience level
- MID (4–5 years exp)
- Specialization
- Software Engineer, Wellfound
- Source
- Wellfound
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). Criteria：
*** 4+ years of total software engineering experience
- Has personally built (not just operated/scaled) a POI/places-data or knowledge-graph system from zero, owning ontology, schema, and entity-resolution design end to end
- Hands-on entity resolution/linking across conflicting multi-source data
- 0-to-1 builder, not a maintainer of an inherited mature graph
- Standard US work eligibility Annual salary range：150000-350000 **