Manager, Engineering - AI/BI

Databricks; Vancouver; On-site; CAD 171,100 - 227,500; Full time

Job summary

A leading data and AI infrastructure company based in Vancouver seeks a Manager II for Engineering in AI/BI. The role involves leading engineering teams, managing talent, and overseeing product strategies in a SaaS environment. Ideal candidates should have extensive experience in distributed systems, team management, and a strong educational background in Computer Science. Competitive compensation is offered in accordance with fair practices.

Qualifications

• 2+ years of experience in managing teams that build and operate systems in SaaS.
• 5+ years of experience with distributed systems and building platforms.
• Experience scaling teams from 5 to 20+.

Responsibilities

• Lead a talented engineering team of full stack engineers.
• Oversee recruitment of top-tier talent.
• Implement product vision and strategy according to goals.
• Manage technical debt and balance product roadmap.

Skills

Hiring and developing talent

Creating efficient processes

Managing distributed teams

Experience in SaaS environment

Adaptability and resilience

Education

BS or higher in Computer Science or related field

Job description

Join to apply for the Manager II, Engineering - AI/BI role at Databricks

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars: Dashboards, Genie, Databricks One and Unity Catalog Business semantics.

We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams. These teams will be tackling a number of challenging full-stack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products.

You will report directly to the Senior Manager of Engineering.

The Main Responsibilities Include

• 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.

What We Look For

• 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $171,100—$227,500 CAD.

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.