Manager, Field Engineering - Strategic Digital Native Business
Databricks is hiring a Manager, Field Engineering - Strategic Digital Native Business in San Francisco, United States. It pays $173k-$237k a year and Level rates it ; you can apply on Databricks.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Cloud Infrastructure, Machine learning and Big Data among its tools and skills.
- Level classes it as a lead role.
- Databricks has 894 other open roles on Level.
AI in this role
Lead and develop a technical team of solutions architects driving data and AI platform adoption for strategic digital native businesses.
As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.
You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.
This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.
This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies.
Responsibilities:
- Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
- Adapt the SA team's skills and engagement model to match the needs of Digital native customers
- Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
- Travel to customer sites for executive sessions, technical workshops, and building relationships
- Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
- Stay current with emerging Data and AI trends in the digital native tech sector
What we look for:
- 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
- 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
- A history of building a territory, growing strategic accounts, and exceeding targets
- Inspiring a team vision about the unique nature of the digital natives business
- A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
- Experience owning executive alignment in accounts that guide strategic decisions
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.
Local Pay Range$172,500—$237,150 USD
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.
How we rate this
Manager, Field Engineering - Strategic Digital Native Business at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Cloud Infrastructure hands-on?
- Walk me through how you've used Machine learning in your day-to-day work.
- What are the limits of Big Data that you've run into, and how did you work around them?
- What's a project where you used Data Warehousing hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Cloud Infrastructure, Machine learning, Big Data, and Data Warehousing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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