Sr. Engineering Manager – AI/BI Full-time

P-180

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, a core part of the Databricks Data Intelligence Platform, dedicated to transforming data into applicable insights and thoughtful solutions. This team uses advanced technologies in artificial intelligence and business intelligence to analyze vast amounts of data, uncover trends, and provide predictive analytics to customers to lead strategic decision-making. By integrating AI algorithms with BI tools, the team develops unique products that allow customers to gain deep visibility into performance, enhance operational efficiency, and identify new growth opportunities in ways not possible before.

We’re looking for a dedicated Engineering Manager to inspire creativity and create solutions in the area of AI/BI.

You will report directly to the Director of Engineering

The main responsibilities include:

• Lead a talented team of engineers building a full-stack product to facilitate natural language-based insight discovery for Databricks customers.
• Grow the team by hiring engineering talent.
• Build processes to implement product vision and strategy in a fast evolving area of AI/BI.
• Develop engineering leaders and support engineers in their career development.

• Help define the product and engineering roadmap for the team.
• Partner with other engineering (include AI experts) and product leaders on planning, prioritization and staffing.

What we look for:

• 3+ years experience working in a related system with an emphasis on Business Intelligence, AI and full-stack product development.
• Experience with business intelligence, semantic modeling, and AI.
• Can ensure the team builds high quality and reliable products.
• Experience promoting a collaborative and high-performance team culture.
• Comfort working cross functionality with product management and directly with customers; ability to understand product and customer personas.
• BS in Computer Science (Masters or higher).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,400-$247,000 USD

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.

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.