DatabricksSr. Manager, Field Engineering
Databricks is hiring a Sr. Manager, Field Engineering in Sydney, Australia. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include sales engineering, leadership and solutions architecture.
- Level classifies it as a senior role.
- Level lists 895 other open roles at Databricks.
AI in this role
Lead a regional pre-sales team of Solutions Architects helping enterprise customers build and scale data and AI solutions on Databricks.
FEQ427R364
Location: Sydney
As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the APJ region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation.
You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.
The impact you will have:
- Lead, mentor, and support a high-performing, inclusive pre-sales team
- Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.
- Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.
- Establish best practices that improve team efficiency, collaboration, and business impact.
- Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.
- Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.
- Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.
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
Sr. Manager, Field Engineering at Databricks rates 60 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
- Tell me about a project where sales engineering was part of your work. What did you do?
- Tell me about a project where leadership was part of your work. What did you do?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Sales Engineering, Leadership, Solutions Architecture, Big Data, and Cloud Computing. 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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