채용
복지 및 혜택
•Parental Leave
•Equity
•Flexible Hours
•Healthcare
필수 스킬
React
PostgreSQL
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.
총 조회수
2
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Databricks 소개

Databricks
Series IDatabricks, 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+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
단점
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
연봉 정보
34개 데이터
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1개 리포트
$171,004
총 연봉
기본급
$148,699
주식
-
보너스
-
$171,004
$171,004
면접 경험
6개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 83%
부정 17%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
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News
·
3d ago
Governing Coding Agent Sprawl with Unity AI Gateway - Databricks
Databricks
News
·
4d ago
Introducing Genie Agent Mode - Databricks
Databricks
News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
Databricks
News
·
5d ago