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职位Databricks

Manager, Field Engineering

Databricks

Manager, Field Engineering

Databricks

Melbourne, Australia

·

On-site

·

Full-time

·

2mo ago

福利待遇

Parental Leave

Equity

Learning

必备技能

Python

JavaScript

Node.js

FEQ227R87
As a Manager, Field Engineering (Solutions Architects), you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in your customers' companies. You will report to the Technical GM, ANZ.
The impact you will have:

Manage hiring, building the pre-sales team of Solutions Architects
Rapidly scale the designated Field Engineering segment organisation without sacrificing quality
Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
Promote a solution and value-based selling field-engineering organisation
Display an understanding of business needs and revenue potential for accounts in the assigned region
Build Databricks' brand in partnership with the Marketing and Sales team

What we look for:

Experience in Pre Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals

Experience with Digital Native companies/ecosystems:

Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
Great at instituting processes for technical field members to improve efficiency
Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

BenefitsAt 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, please visit https://www.mybenefitsnow.com/databricks.

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.

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关于Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

员工数

San Francisco

总部位置

$43B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

4.0

企业文化

4.2

职业发展

3.5

管理层

4.0

72%

推荐给朋友

优点

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

缺点

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

薪资范围

34个数据点

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1份报告

$171,004

年薪总额

基本工资

$148,699

股票

-

奖金

-

$171,004

$171,004

面试经验

6次面试

难度

3.2

/ 5

时长

21-35周

体验

正面 0%

中性 83%

负面 17%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge