Engineering Manager – Knowledge Graph Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and develop a team of engineers focused on building Reddit’s Knowledge Graph Platform.

• Define the technical direction and roadmap for a scalable knowledge graph platform.

• Establish data and API contracts, service interfaces, reliability, observability, performance, and enhance developer experience.

• Set production-grade operating standards, SLOs, data quality measures, governance mechanisms, and implement safe change-management practices.

• Collaborate with engineering, computational linguists, and domain expert teams regarding ontology, data quality, governance, and platform evolution.

• Ensure the knowledge graph remains current and comprehensive for key use cases.

• Work alongside the dedicated data labeling team to achieve data coverage and quality objectives.

• Collaborate with internal product and engineering teams to identify needs, prioritize use cases, and enhance platform accessibility.

• Propel graph-powered features in shopping, search, ads marketplace models, and consumer feed models.

• Influence architectural and technical design decisions and contribute hands-on when beneficial.

• Communicate strategy, priorities, risks, and progress across a distributed, cross-functional organization.

⛳️ Requirements

• Over 8 years of overall software engineering experience.

• More than 2 years of direct experience in managing, coaching, and developing engineering teams.

• A Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).

• Experience in building or operating AI/ML-powered or data-intensive platforms.

• A proven history of leading shared technical systems with multiple internal clients.

• Strong comprehension of platform operating models, data or service-level contracts, documentation, and self-service adoption.

• Experience in establishing data contracts concerning quality, lineage, or governance.

• Strong technical judgment across distributed systems, backend services, data platforms, APIs, reliability, and operational excellence.

• Capability to make technical and product trade-offs amidst ambiguity.

• Experience in collaborating and communicating with engineers, senior leaders, and partner teams across various time zones.

• A Master’s or Advanced Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field is a plus.

• Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly preferred.

🏝️ Benefits

• Equity in the form of restricted stock units.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) program with employer match.

• Generous vacation time.

• Parental leave.

• Option to opt out of interview recording, transcription, and summarization.