8 дней назад
Engineering Manager, Knowledge Graph Platform (AI)
217 000 - 303 900$
Мэтч & Сопровод
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Описание вакансии
Текст:
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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