Назад
8 дней назад

Engineering Manager, Knowledge Graph Platform (AI)

217 000 - 303 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager, Knowledge Graph Platform (AI): Building and scaling Reddit’s AI-powered knowledge graph platform with an accent on data and API contracts, governance, reliability, and developer experience. Focus on leading engineering teams, establishing production-grade operating standards, and designing shared platform capabilities for search, shopping, ads, and consumer feed models.

Location: Remote - United States

Base salary: $217,000–$303,900 USD per year, plus potential equity and commission depending on the position.

Company

Reddit is a large online community platform with more than 100,000 active communities and approximately 130 million daily active unique visitors.

What you will do

  • Lead, coach, and develop an engineering team building the Knowledge Graph Platform.
  • Set the technical direction and roadmap for scalable knowledge graph services, including data contracts, APIs, reliability, observability, performance, and developer experience.
  • Establish SLOs, data-quality measures, governance mechanisms, and safe change-management practices.
  • Partner with engineers, computational linguists, domain experts, product teams, and data labelers on ontology, coverage, freshness, and platform adoption.
  • Drive graph-powered capabilities for shopping, search, ads marketplace models, and consumer feeds.
  • Communicate strategy, priorities, risks, and progress across a distributed, cross-functional organization while contributing to architecture and technical design.

Requirements

  • 8+ years of software engineering experience, including 2+ years 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 serving multiple internal customers.
  • Experience creating data or service-level contracts, documentation, operating models, and self-service adoption paths.
  • Strong technical judgment across distributed systems, backend services, data platforms, APIs, reliability, and operational excellence.
  • Excellent collaboration and communication skills, including working with senior leaders and partner teams across time zones.

Nice to have

  • Master’s or advanced degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
  • Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding.

Culture & Benefits

  • High-trust, high-performing environment with clear goals and strong technical ownership.
  • Medical, dental, and vision insurance for U.S.-based employees.
  • 401(k) program with employer match.
  • Generous vacation time and parental leave.
  • Potential restricted stock units and commission eligibility depending on the position.
  • Interview recording, transcription, and AI summarization may apply, with an option to opt out before scheduled interviews.

Hiring process

  • Some interviews may be recorded, transcribed, and summarized using AI.
  • Candidates can opt out of interview recording, transcription, and summarization before the interview.

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