Engineering Manager, Knowledge Graph Platform
Engineering manager leading Reddit's Knowledge Graph Platform team: building a scalable, AI-powered knowledge graph (LLM/agentic construction, data/API contracts, governance, observability) that powers ads, search, and consumer features. The role is mostly people leadership, technical direction, and driving platform adoption; 100% remote (US/Canada), ET timezone preferred.
- Compensation
- $217K–$303.9K / yr
- Location
- Remote - United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 8+ years of total software engineering experience
- 2+ years directly managing, coaching, and developing engineering teams
- Experience building or operating AI/ML powered or data-intensive platforms
- Proven track record of leading shared technical systems with multiple internal customers
- Strong understanding of turning a technical system into a product-like platform (operating model, data/service-level contracts, documentation, 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 without a dedicated product manager
- Excellent collaborator and communicator who can earn trust across time zones
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or 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
Full description
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .
Who We Are:
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.
This is a high-leverage team at the intersection of data, platform engineering, and AI. Our work supports emerging capabilities such as contextual grounding while creating the contracts, standards, and developer experience that make shared data dependable and easy to use. This team is strategically positioned to impact both ads and consumer roadmaps. Our data is used across ads marketplace models as well as user-facing features on .
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.
- 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.
- 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.