TL;DR
Director of Engineering (AI): Leading the development of highly available data stores for customer identity graphs and real-time data retrieval with an accent on architecting customer-centric identity graphs and overseeing critical data pipelines. Focus on solving complex data challenges for personalized experiences and integrating AI/ML infrastructure.
Location: Hybrid in Seattle, Washington or Chicago, Illinois, with 10 days/quarter in-office presence required.
Company
hirify.global is a leading product company building an Agentic Enterprise by developing customer identity and data graphs.
What you will do
- Architect and implement customer-centric identity graphs.
- Lead development of metrics and pipelines for highly available data.
- Manage and mentor a high-performing engineering team.
- Define technical vision for customer data graphs with product managers.
- Establish standards for data quality, latency, and delivery.
- Collaborate cross-functionally to translate business needs into scalable solutions.
- Develop event-driven architecture and automate data delivery pipelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
- 10+ years in engineering, with significant focus on search technology, vector databases, data engineering, and AI/ML infrastructure.
- Deep expertise in Search Indices (Pinecone, Milvus, Redis) and Workflow Orchestration (Airflow, dbt).
- Strong programming skills in Python, Java, or Scala, with data frameworks like Spark and Pandas/Polars.
- Hands-on experience with AWS, Azure, BigQuery, Redshift, Data Cloud, and the hirify.global ecosystem.
- Proven experience managing engineering teams in a fast-paced, enterprise environment.
Culture & Benefits
- Play a pivotal role in building hirify.global as an Agentic Enterprise.
- Directly responsible for the operational efficiency and success of internal stakeholders and global customers.
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