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7,955

Ai jobs in Canada

Manager, Engineering - AI/BI

Menlo Ventures

Vancouver
On-site
CAD 171,000 - 228,000
30+ days ago
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Compliance Counsel

National Mortgage Insurance Corporation

Legal
Hybrid
CAD 273,000 - 302,000
30+ days ago

Director, Global Privacy

Mark Anthony Group

Vancouver
On-site
CAD 130,000 - 180,000
30+ days ago

Lead Power Platform Solutions Engineer

Manulife

Halifax
Hybrid
CAD 110,000 - 206,000
30+ days ago

Project Manager

Caylent

Canada
On-site
CAD 116,000 - 145,000
30+ days ago
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Risk and Governance Services Senior Associate

PwC - Global

Calgary
On-site
CAD 70,000 - 90,000
30+ days ago

RQ08120:Sr Test Lead

Rubicon Path

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

RQ08272 - Business Analyst - Senior

Rubicon Path

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago
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Director of Engineering - Carter

Ring Inc

Toronto
Hybrid
CAD 150,000 - 200,000
30+ days ago

Senior SecOps Tech Lead

Jobber

Canada
On-site
CAD 98,000 - 134,000
30+ days ago

Business Development Associate

AppLovin

Toronto
On-site
CAD 60,000 - 80,000
30+ days ago

Senior Gameplay Programmer – [New Intellectual Property]

Ubisoft

Montreal
On-site
CAD 80,000 - 100,000
30+ days ago

Sr. Automation Tester with Python and Robot Framework

Cognizant

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Principal Data Scientist

Sanofi US

Toronto
On-site
CAD 105,000 - 152,000
30+ days ago

Senior Consultant – Digital Assets Center of Excellence, Technology Risk Services

KPMG LLP Canada

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Community Phlebotomist

Manchester University NHS Foundation Trust

Didsbury
On-site
CAD 44,000 - 52,000
30+ days ago

Product Owner

Viral Nation

Canada
On-site
CAD 80,000 - 110,000
30+ days ago

Senior Embedded ML Runtime Engineer — Low-Power AI

Qualcomm

Markham
On-site
CAD 85,000 - 115,000
30+ days ago

Director, Lifecycle Marketing

Range

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

Inspecteur Contrôle Qualité 1/ Quality Control Reviewer 1

IQVIA

Laval
On-site
CAD 73,000 - 98,000
30+ days ago

Director, Partnerships

PartnerStack

Canada
On-site
CAD 100,000 - 130,000
30+ days ago

Law Technology Project Manager and Business Analyst-Canadian Tax Technology Group

Ernst & Young Advisory Services Sdn Bhd

Toronto
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Back End Software Engineer

Exadel Inc

Canada
Hybrid
CAD 80,000 - 110,000
30+ days ago

Talent Acquisition Specialist

Reach3 Insights

Toronto
Hybrid
CAD 65,000 - 85,000
30+ days ago

Test Content Staff Architect

Advanced Micro Devices

Markham
On-site
CAD 100,000 - 130,000
30+ days ago

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Manager, Engineering - AI/BI
Menlo Ventures
Vancouver
On-site
CAD 171,000 - 228,000
Full time
30+ days ago

Job summary

A leading tech company based in Vancouver is looking for an Engineering Manager. In this role, you will lead a talented team of engineers, oversee recruitment and development efforts, and build processes that align with the company's product vision. The ideal candidate has over 5 years of experience with distributed systems, a strong track record in talent management, and a background in SaaS environments. This position offers a competitive salary range between $171,100 and $227,500 CAD.

Qualifications

  • 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.
  • Experience managing distributed teams across multiple locations.

Responsibilities

  • Lead a talented engineering team focused on strategic initiatives.
  • Oversee recruitment and development of top-tier talent.
  • Build processes to implement product vision and strategy.
  • Manage long-term technical architecture decisions.

Skills

Hiring and developing talent
Creating efficient processes
Experience in SaaS environments
Building distributed systems
Managing teams
Attracting and retaining engineering talent

Education

BS or higher in Computer Science or related field
Job description
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Canada Pay Range: $171,100 — $227,500 CAD

Responsibilities
  • You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.
  • You will oversee sustained recruitment of top‑tier talent, and developing talent on the team.
  • You will build processes to implement product vision and strategy, according to organizational goals and priorities.
  • You will build software that is not just high quality, but easy to operate.
  • You will manage technical debt, including long‑term technical architecture decisions, and balance product roadmap.
Qualifications
  • Great at hiring and developing talent.
  • Great at creating efficient processes that increase velocity and quality.
  • 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 and best in class application experience which serve multiple product teams and customers.
  • Have experience in scaling engineering teams from 5 to 20+.
  • Team player that will work with other departments (PM, CS) and engineering teams.
  • BS or higher in Computer Science, or a related field.
  • Strong track record of attracting, hiring, and retaining top engineering talent.
  • Experience managing distributed teams across multiple locations.
  • Adaptability and resilience in a fast‑paced, rapidly evolving tech environment.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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