Engineering Manager, Knowledge Graph Platform

What you'll do

• Lead, coach, and develop engineers while setting the platform’s technical direction and roadmap.
• Establish operating standards for reliability, data quality, governance, and safe change management.
• Partner with internal teams to prioritize use cases, expand platform adoption, and enable graph-powered capabilities.

What they ask for

• 8+ years of total software engineering experience, including 2+ years directly managing, coaching, and developing engineering teams.
• Experience building or operating AI/ML-powered or data-intensive platforms and leading shared technical systems with multiple internal customers.
• Experience establishing data contracts around quality, lineage, or governance; strong technical judgment across distributed systems, backend services, data platforms, APIs, and reliability.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).

Nice to have

• Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding.
• Master’s or Advanced Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.

Pay

$217,000 — $303,900 USD base salary

Tools

knowledge graph, LLM, APIs, distributed systems, backend services, data platforms

AI focus

Leverage SOTA LLM and agentic patterns for knowledge graph construction; build an AI-powered knowledge graph platform supporting contextual grounding and graph-powered capabilities.