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Engineering Manager, Knowledge Graph Platform

MindPal·$217,000 – $303,900

Primary stack

Leadership

Nice to have's

Semantic SystemsEntity ResolutionSearchContextual GroundingPlatform Engineering

Job description

About the Position

We are looking for an Engineering Manager, Knowledge Graph Platform to join our team at Reddit. This role is pivotal in building the foundational systems that help Reddit understand entities, relationships, and context across its content. You will lead a team of engineers to create a scalable, AI-powered knowledge graph that supports emerging capabilities and enhances user experiences.

Responsibilities

  • 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.
  • 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 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.
  • Communicate the team’s strategy, priorities, risks, and progress clearly across a distributed, cross-functional organization.

Requirements

  • 8+ years of total software engineering experience, with 2+ years directly managing, coaching, and developing engineering teams.
  • Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly desired.
  • 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.
  • 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.
  • 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 when a dedicated product manager is not present.
  • Excellent collaborator and communicator who can earn trust with engineers, senior leaders, and partner teams across time zones.
  • Enjoy building clarity and durable operating mechanisms where ownership and processes are still evolving. Excel in evangelization and driving platform adoption cross org.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).

Nice to Have

  • Master’s or Advanced Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.

Location

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.

We Offer

  • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
  • Competitive salary and equity options
  • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
  • Generous 401k matching
  • Flexible vacation policy
  • Paid parental leave (4+ months)
  • Family planning support
  • Paid volunteer time off

Pay Transparency

The base salary range for this position is: $217,000 - $303,900 USD

About the Company

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 www.redditinc.com.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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