Skill Compatibility Diagnostics
Live technical match evaluated against role architecture & expected skills.
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About the Role
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.
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 reddit.com.
Location & Logistics:
This role is 100% remote (US & Canada only) and will regularly meet with teams in the EU and the US. Candidates based in ET timezone will be given preference to accommodate team schedules. (Reddit also has 4 office locations for hybrid/onsite work preference in NY, SF, LA, and Chicago).
Key Technical Responsibilities
- check_circle 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.
- check_circle 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.
- check_circle Leverage SOTA LLM and agentic patterns for knowledge graph construction.
- check_circle Establish production-grade operating standards: defining SLOs, implementing quality measures of data within the knowledge graph, governance mechanisms, and safe change-management practices.
- check_circle Partner with engineering, computational linguists, and domain-expert teams to define a shared operating model for ontology, data quality, governance, and platform evolution.
- check_circle 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.
- check_circle Work closely with internal product and engineering teams to understand their needs, prioritize high-value use cases, and increase access to the platform.
- check_circle Drive the next wave of graph-powered capabilities, including opportunities in shopping, search, ads marketplace models, consumer feed models.
- check_circle 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.
- check_circle Communicate the team’s strategy, priorities, risks, and progress clearly across a distributed, cross-functional organization.
Prerequisites & Qualifications
- check 8+ years of total software engineering experience, with 2+ years directly managing, coaching, and developing engineering teams.
- check Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly desired.
- check 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.
- check 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.
- check Experience establishing data contracts around quality, lineage, or governance.
- check Strong technical judgment across distributed systems, backend services, data platforms, APIs, reliability, and operational excellence.
- check Comfortable making technical and product tradeoffs in ambiguity, including when a dedicated product manager is not present.
- check Excellent collaborator and communicator who can earn trust with engineers, senior leaders, and partner teams across time zones.
- check Enjoy building clarity and durable operating mechanisms where ownership and processes are still evolving. Excel in evangelization and driving platform adoption cross org.
- check Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).
About Reddit Greenhouse Board
Verified hiring organization details.
Reddit Greenhouse Board serves as the hiring entity and recruitment portal for Reddit in Amsterdam, Netherlands. Reddit is a prominent social media and technology platform that hosts a vast network of online communities where users can share content, news, and discussions on a wide variety of topics.