TL;DR
Staff Data Engineer (AI): Own and evolve analytics and data infrastructure, building data pipelines focused on customer intelligence. Focus on shaping data architecture, setting technical direction, and driving business outcomes from data by identifying opportunities and pushing for action.
Location: British Columbia, Canada
Salary: CAD $150,000 – C$240,000
Company
hirify.global is a product-oriented research lab developing best-in-class real-time multimodal AI models and an orchestration platform, recognized as a top AI company and LinkedIn Top 10 Startup in the USA.
What you will do
- Own the analytics platform end-to-end, assessing current state, identifying gaps, and building necessary components.
- Design and build data pipelines focused on customer intelligence to identify growth, improve retention, and enable smarter business decisions.
- Analyze results, surface insights, and drive the organization to act on data-driven recommendations.
- Partner closely with product, engineering, and ML teams to define measurements, their significance, and how insights are operationalized.
- Drive the technical direction for the data stack and establish best practices as the function expands.
Requirements
- 7-10+ years of experience in Data Engineering.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
- Deep hands-on experience with data platforms and tooling, including BigQuery, Google Cloud Dataflow, Dagster, or Looker Studio.
- Strong communication skills to translate data into business decisions and influence cross-functional stakeholders.
- Experience designing data architecture and providing technical guidance to others.
Culture & Benefits
- Individual contributor role with high impact and significant ownership.
- Opportunity to independently shape data architecture and set technical direction from day one.
- Work in a product-oriented research lab with top AI researchers and engineers.
- Total compensation package includes competitive base pay, equity, and benefits.
- Join a fast-growing startup backed by Lightspeed, Microsoft’s M12, Founders Fund, Meta, and Stanford.
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