Engineering Manager – Knowledge Graph Platform

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $217k - $303.9k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 0%

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform • Set the technical direction and roadmap for a scalable knowledge graph platform • Define data and API contracts, service interfaces, reliability, observability, performance, and developer experience • Establish production-grade operating standards, SLOs, data quality measures, governance mechanisms, and safe change-management practices • Partner with engineering, computational linguists, and domain-expert teams on ontology, data quality, governance, and platform evolution • Ensure knowledge graph coverage and freshness for priority use cases • Work with the dedicated data labeler team on data coverage and quality goals • Partner with internal product and engineering teams to understand needs, prioritize use cases, and increase platform access • Drive graph-powered capabilities in shopping, search, ads marketplace models, and consumer feed models • Guide architecture and technical design decisions and contribute hands-on when valuable • Communicate strategy, priorities, risks, and progress across a distributed, cross-functional organization

🎯 Requirements

• 8+ years of total software engineering experience • 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 • Proven track record of leading shared technical systems with multiple internal customers • Strong understanding of platform 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 ambiguity • Experience collaborating and communicating with engineers, senior leaders, and partner teams across time zones • Master’s or Advanced Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field is nice to have • Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly desired

🏖️ Benefits

• Equity in the form of restricted stock units • Medical insurance • Dental insurance • Vision insurance • 401(k) program with employer match • Generous time off for vacation • Parental leave • Opportunity to opt out of interview recording, transcription, and summarization