Engineering Manager, Knowledge Graph Platform

Details

Reddit's Knowledge Graph Platform team builds foundational systems that help Reddit understand entities, relationships, and context across its content. The team is evolving an advanced, AI-powered knowledge graph into a reliable, scalable platform that enables teams across Reddit to build better experiences on shared, high-quality knowledge. The work sits at the intersection of data, platform engineering, and AI, supporting contextual grounding, ads marketplace models, and user-facing features on reddit.com.

Responsibilities

• 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, including SLOs, data-quality measures, 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.
• Steward knowledge graph data by ensuring coverage and freshness for priority use cases, and work with the dedicated data labeler team on data coverage and quality goals.
• Work with internal product and engineering teams to understand their needs, prioritize high-value use cases, and increase access to the platform.
• Drive graph-powered capabilities in shopping, search, ads marketplace models, and consumer feed models.
• Stay close to architecture and technical design, helping the team navigate complex system tradeoffs and contributing hands-on when it is the highest-leverage path.
• Communicate strategy, priorities, risks, and progress across a distributed, cross-functional organization.

Requirements

• 8+ years of total software engineering experience, including 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 track record of leading shared technical systems with multiple internal customers.
• Strong understanding of turning a technical system into a product-like platform, including operating models, data or service-level contracts, documentation, and 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.
• Ability to make technical and product tradeoffs in ambiguous situations, including when a dedicated product manager is not present.
• Excellent collaboration and communication skills, with the ability to earn trust with engineers, senior leaders, and partner teams across time zones.
• Ability to build clarity and durable operating mechanisms where ownership and processes are evolving, evangelize the platform, and drive adoption across the organization.

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.

Compensation and Benefits

The base salary range is $217,000–$303,900 USD per year. The position is also eligible for equity in the form of restricted stock units and, depending on the position offered, may be eligible for commission. Benefits for U.S.-based employees include medical, dental, and vision insurance, a 401(k) program with employer match, vacation time, and parental leave.

The posting may span more than one career level. Final offer amounts are determined by factors including skills, depth of work experience, and relevant licenses or credentials. In select roles and locations, interviews may be recorded, transcribed, and summarized by AI, with an option to opt out before scheduled interviews.