Manager II, Engineering - AI/BI

Databricks Inc.; Vancouver; On-site; CAD 171,000 - 228,000; Full time

Job summary

A leading data and AI company is seeking an Engineering Leader based in Vancouver to guide teams in data visualization and business semantics initiatives. The ideal candidate will manage full-stack engineers and focus on creating best-in-class analytics experiences. Strong leadership and extensive experience in SaaS and distributed systems are essential. The role offers a competitive salary range of $171,100 – $227,500 CAD.

Benefits

Comprehensive benefits

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 platforms.
• Experience scaling engineering teams from 5 to 20+.

Responsibilities

• Lead a talented engineering team focused on visualizations and analytics.
• Oversee recruitment and developing talent on the team.
• Build processes to implement product vision and strategy.

Skills

Hiring and developing talent

Creating efficient processes

Management of distributed teams

Experience in SaaS environments

Adaptability and resilience

Education

BS or higher in Computer Science

Job description

Overview

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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\'re only getting started.

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. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business.

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 fullstack 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

$171,100 — $227,500 CAD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Cond\u00e9 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 the benefits site.

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.