Remote Knowledge Graph Platform Engineering Manager

Kenyan Edu; United States; Remote; USD 217,000 - 304,000; Full time

Benefits offered by this job

Remote work

Office locations NY, SF, LA, Chicago

Health benefits

401k matching

Flexible vacation

Parental leave

Family planning

Volunteer time off

Job summary

Reddit is seeking an Engineering Manager for the Knowledge Graph Platform to lead a high-performing team responsible for building a scalable, AI-powered knowledge graph. You will set the technical direction, own data quality and governance, and partner with product and research teams across time zones.

The role is 100% remote (US & Canada only) with regular collaboration across the EU and US, offering competitive salary, equity, and comprehensive benefits.

Qualifications

• 8+ years of total software engineering experience, with 2+ years directly managing, coaching, and developing engineering teams.
• Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly desired.
• 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.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).

Responsibilities

• Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform.
• Set technical direction and roadmap for a scalable knowledge graph platform, including data and API contracts, service interfaces, reliability, observability, performance, and developer experience.
• Leverage SOTA LLM and agentic patterns for knowledge graph construction.
• 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.
• 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.

Skills

Knowledge graphs

Ontology systems

Entity resolution

AI/ML platforms

Distributed systems

Education

Bachelor's degree in Computer Science/Software Engineering/Data Science or related field

Job description

Reddit is seeking an Engineering Manager for the Knowledge Graph Platform to lead a high-performing team responsible for building a scalable, AI-powered knowledge graph. You will set the technical direction, own data quality and governance, and partner with product and research teams across time zones.

The role is 100% remote (US & Canada only) with regular collaboration across the EU and US, offering competitive salary, equity, and comprehensive benefits.