Sr. Manager, Engineering - AI/BI
- Salary
- $228,600 - $314,250
- Level
- Lead
Not stated in the posting: work type, visa.
Open. First seen 3 October 2026.
About the role
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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” Dashboard team responsible for making Databricks the best product for business users to create, share and consume data insights. We own the entire product stack end-2-end: the Dashboard creation and consumption UI, the query and permissions layer, the control plane for the service, the consumption surface across web, mobile and Desktop as well as the distribution infrastructure across various channels (e-Mail, Mobile, Slack/Teams etc.). At every layer of our stack, we are leveraging AI to change how users interact with and leverage our product in completely new ways to find the answers they need quicker than ever before.
We're seeking a dedicated Senior Engineering Manager who will help grow the AI/BI Dashboard product and service platform. This means tackling a number of challenging fullstack and backend problem spaces, for example making agentic dashboard authoring and AI insights fast and performant while maintaining high quality, enabling the creation and consumption of Dashboards and BI features across the entire Databricks platform and scaling our service to the next order of magnitude of users. This role also requires experience in applying AI and LLM technology directly into the product surface and guiding the team to strike a balance between pushing up quality while maintaining performance and cost.
You will report directly to the Director of Engineering.
The main responsibilities include:
- You will lead multiple talented engineering teams of full stack/backend engineers and SMEs as well as managers focused on the above initiatives.
- You will oversee sustained recruitment of top-tier IC talent and Managers, and developing talent across the teams.
- 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
- 6+ years of experience in managing multiple teams that build and operate products and systems in a SaaS environment
- 10+ years of experience with distributed systems and building products, platforms and services and best in class application experience which serve multiple product teams and customers
- Have experience in scaling engineering teams from 15 to 35+
- 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(s) 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. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$228,600—$314,250 USD
Databricks's standard text
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
What this role asks for
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
78% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 44 open in Engineering. 1 was posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (44 of 44), Unity (44 of 44), Azure (20 of 44), AWS (16 of 44), GCP (15 of 44), Machine Learning (13 of 44), LLM (12 of 44)
OTHER ROLES ON THIS TEAM
- Senior Software Engineer, Compute Infrastructure posted Sep 14
- Staff Software Engineer – Genie One Mobile & Desktop posted Sep 9
- Engineering Manager, App Traffic posted Sep 9
- Senior Engineering Manager for Self-Serve (Learning) posted Aug 21
- Engineering Manager, CustomerLake Profile Agents posted Aug 13
- Staff Software Engineer- Foundation Model Inference posted Jul 24
- Sr Software Engineer- CXI posted Jul 15
- Senior Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, Agentic Applications posted Jul 15
- Staff Machine Learning Engineer, CustomerLake (ML/LLM) posted Jun 30
- Engineering Manager, Serverless Compute Platform posted Jun 22
- Staff Software Engineer, AI Runtime posted Jun 8
- Senior Software Engineer, AI Runtime posted Jun 8
- Staff Software Engineer, AI Search posted Jun 4
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Manager, Engineering Configuration Platform Team posted May 28
- Senior Staff Applied AI Engineer - Context Retrieval posted May 7
- Sr Staff Production Engineer- Public Sector posted Apr 22
- Staff Production Engineer- Public Sector posted Apr 22
- Staff Software Engineer- Public Sector posted Apr 21
- Sr. Engineering Manager - Agentic Service Platform posted Apr 20
- Staff Backend Software Engineer- (Databricks AI) posted Mar 31
- Engineering Manager - Databricks SQL Control Plane posted Mar 20
- Staff Backend Software Engineer posted Mar 18
- Sr. Engineering Manager - Customer Experience Intelligence (CXI) posted Feb 25
- Staff Software Engineer - Backend posted Jan 29
- Sr. Software Engineer- Backend posted Jan 16
- Sr. Staff Software Engineer - Money Team posted Nov 12
- Senior Software Engineer, Model Serving posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr. Engineering Manager - Notebook Dataplane posted Sep 29
- Manager, Engineering - AI/BI posted Sep 19
- Senior Engineering Manager for Workspace Platform posted Jun 12
- Sr. Manager, Engineering - Search posted Apr 15
- Senior Software Engineer - Partner Ecosystem posted Apr 3
- Senior Staff Software Engineer - App and Partner Ecosystem posted Mar 19
- Sr Designated Support Engineer posted Jan 30
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Software Engineer - Backend posted Jun 1
From the team and dates on Databricks's own job board.
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