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Sr. Manager, Engineering - AI/BI

Lead the AI/BI Dashboard team at Databricks, focusing on product growth and engineering management.

Location
Mountain View, California; San Francisco, California
Compensation
$228.6k–$314.3k/yr
Level
senior
Type
full time

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 10 hours ago

What you'll build

  • Lead multiple engineering teams
  • Oversee recruitment of talent
  • Build processes for product vision
  • Manage technical debt
  • Balance product roadmap

Must have

  • 6+ years of experience managing teams in SaaS
  • 10+ years of experience with distributed systems
  • Experience scaling engineering teams from 15 to 35+
  • BS or higher in Computer Science or related field

Role intensity

10% coding — mostly leadership/strategy

AI in the day-to-day

Leveraging AI to change how users interact with and leverage our product.

Requirements

Experience
10+ years
Education
Bachelor's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Joblaze summary

In this role, the Senior Engineering Manager will oversee the development of the AI/BI Dashboard product, focusing on enhancing user experience through efficient dashboard creation and data insights. The position requires expertise in full-stack and backend development, particularly with AI and LLM technologies, to ensure high performance and quality. Ideal candidates will have extensive experience managing engineering teams in a SaaS environment and a strong track record in talent acquisition and development. The team operates in a fast-paced environment, emphasizing collaboration across departments to achieve product goals.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 3, 2026. Last confirmed on Databricks's careers page October 4, 2026.
  • Salary band is above the typical range for Management roles (median ~$170,000).
  • Starts above 74% of 126 comparable senior management roles in United States that list AI/ML we track (median $169,500 across 52 companies). See AI/ML salary trends
  • AI/ML appears in 19.7% of 868 comparable senior management roles in United States; distributed systems appears in 1.2% of 868 comparable senior management roles in United States.

Quick facts

What's the salary range?
Databricks lists $228,600–$314,250 for this role.
How much experience is required?
At least 10 years of relevant experience for this Sr. Manager, Engineering - AI/BI role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, SaaS, distributed systems.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Sr. Manager, Engineering - AI/BI role at Databricks.

From the original posting

RDQ427R365

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

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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