Manager, Engineering - AI/BI

Databricks
Vancouver
Workplace: OnsiteFull timeCAD 171,100 - 227,500 annuallyFunction: Data Analytics & Business IntelligenceExperience: 2-5 yearsEducation: bachelorsSkills: ["Leadership","Talent development","Talent recruitment","Team building","Process improvement"]

Lead and grow the AI/BI engineering teams focused on data visualization, dashboards, and business semantics. Drive product vision, scale distributed SaaS platforms, recruit top talent, and balance technical debt with roadmap goals while delivering high-quality, operable software across multiple product teams.

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FursaFursa
Databricks
Databricks
11 months ago

Manager, Engineering - AI/BI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead and grow the AI/BI engineering teams focused on data visualization, dashboards, and business semantics. Drive product vision, scale distributed SaaS platforms, recruit top talent, and balance technical debt with roadmap goals while delivering high-quality, operable software across multiple product teams.
Location: Vancouver
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.
  • •Oversee sustained recruitment of top-tier talent, and developing talent on the team.
  • •Build processes to implement product vision and strategy, according to organizational goals and priorities.
  • •Build software that is not just high quality, but easy to operate.
  • •Manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

Pay and Benefits

Salary: CAD 171,100 - 227,500 annually

Key Requirements

  • •2+ years of experience in managing teams that build and operate systems in a SaaS environment.
  • •5+ years of experience with distributed systems and building platforms and services serving multiple product teams and customers.
  • •Experience scaling engineering teams from 5 to 20+.
  • •BS or higher in Computer Science, or a related field.
  • •Strong track record of attracting, hiring, and retaining top engineering talent.
Experience:2-5 yearsSaaSDistributed systemsEngineering management
Education:Bachelor's
Skills:LeadershipTalent developmentTalent recruitmentTeam buildingProcess improvement
Languages:English
Tech Stack:Distributed systemsSaaSFull stackUI/UXAnalyticsDashboarding

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn