Manager, Engineering - AI/BI

Menlo Ventures; Vancouver; On-site; CAD 171,000 - 228,000; Full time

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.