Engineering Manager – Knowledge Graph Platform

Reddit, Inc.

. Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform .

Posted 10/7/2026full-timeRemote • United StatesSeniorLead💰 $217,000 - $303,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams and developing scalable knowledge graph platforms, with a strong focus on data quality, governance, and operational excellence. Proficient in establishing data contracts and collaborating across cross-functional teams to drive platform evolution and enhance user experience.

Highest-signal resume keywords

Knowledge Graph DevelopmentTeam Leadership and CoachingData Quality and GovernanceAPI Contract DefinitionTechnical Direction and Roadmap

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringData ScienceAI/ML PlatformsDistributed SystemsBackend ServicesAPIsOperational ExcellenceData ContractsEntity ResolutionSemantic Systems

Soft Skills

CollaborationCommunicationStrategic ThinkingCoachingCross-Functional Leadership

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science

Industry Keywords

Knowledge GraphOntologyData GovernanceService-Level ContractsData Quality Measures

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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