Databricks2 followers35 jobs

Manager, Field Engineering

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaPosted 2 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

As a Manager, Field Engineering (Solutions Architects), you will lead a dynamic team of pre-sales Solutions Architects, driving success in your assigned accounts. Your expertise in partnering with sales will be crucial in closing revenue and fostering collaboration among team members. The team thrives on a culture of innovation, customer obsession, and teamwork, making a significant impact in the fast-paced world of data and AI.

Meet the team

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You'll be responsible for

👥

Managing hiring and building teams

Manage hiring, building the pre-sales team of Solutions Architects.
🚀

Scaling the organization

Rapidly scale the designated Field Engineering segment organisation without sacrificing quality.
🤝

Building a collaborative culture

Build a collaborative culture within a rapid-growth team, embodying and promoting Databricks' customer-obsessed, teamwork and diverse culture.

Key criteria

👥

Experience in pre-sales management

Proven experience developing and managing successful teams in Big Data, Cloud, or SaaS.

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🌐

Experience with digital native ecosystems

Demonstrated experience working with digital native companies and their unique needs.

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📈

Team scaling and mentoring experience

Experience building and mentoring onshore and offshore technical teams from scratch.

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Think you're a good fit?See what the hiring team are looking for

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5 criteria for this job
Experience in pre-sales management
Proven experience developing and managing successful teams in Big Data, Cloud, or SaaS.

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Experience with digital native ecosystems
Demonstrated experience working with digital native companies and their unique needs.

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Team scaling and mentoring experience
Experience building and mentoring onshore and offshore technical teams from scratch.

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Knowledge of data-driven decision making
Strong understanding of AI, Cloud software models, and data-driven strategies.

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Background in data architecture
Experience in Data Engineering, Database technologies, or Data Science.

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A meaningful career starts with a match

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