Engineering Manager, Knowledge Graph Platform

The Team:

The Knowledge Graph Platform team builds the foundational systems that help Reddit understand entities, relationships, and context across its content. We are evolving an advanced, AI-powered knowledge graph into a reliable, scalable platform that enables teams across Reddit to build better experiences on top of shared, high-quality knowledge.

What You’ll Do:

• Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform; create a high-trust, high-performing environment with clear goals and strong technical ownership.
• Set the technical direction and roadmap for a scalable knowledge graph platform, including data and API contracts, service interfaces, reliability, observability, performance, and developer experience.
• Establish production-grade operating standards: defining SLOs, implementing quality measures of data within the knowledge graph, governance mechanisms, and safe change-management practices.
• Partner with engineering, computational linguists, and domain-expert teams to define a shared operating model for ontology, data quality, governance, and platform evolution.
• Be a steward of data in the KG - ensure the graph has the coverage and freshness needed for priority use cases. Work with our dedicated data labeler team on shared goals around data coverage and quality.
• Work closely with internal product and engineering teams to understand their needs, prioritize high-value use cases, and increase access to the platform.
• Drive the next wave of graph-powered capabilities, including opportunities in shopping, search, ads marketplace models, consumer feed models.
• Stay close to architecture and technical design, helping the team navigate complex system tradeoffs and contribute hands-on when it is the highest-leverage path.
• Communicate the team’s strategy, priorities, risks, and progress clearly across a distributed, cross-functional organization.

Who You Might Be:

• 8+ years of total software engineering experience, with 2+ years directly managing, coaching, and developing engineering teams.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).
• Experience building or operating AI/ML powered, or data-intensive platforms, with a proven track record of leading shared technical systems with multiple internal customers.
• Strong understanding of how to turn a technical system into a product-like platform: setting an operating model with customers, establishing data or service-level contracts, useful documentation, and a path to self-service adoption.
• Experience establishing data contracts around quality, lineage, or governance.
• Strong technical judgment across distributed systems, backend services, data platforms, APIs, reliability, and operational excellence.
• Comfortable making technical and product tradeoffs in ambiguity, including when a dedicated product manager is not present.
• Excellent collaborator and communicator who can earn trust with engineers, senior leaders, and partner teams across time zones.
• Enjoy building clarity and durable operating mechanisms where ownership and processes are still evolving. Excel in evangelization and driving platform adoption cross org.

Nice to Have:

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