Jobs
Required Skills
Team management
Pre-sales leadership
Sales partnership
Technical mentoring
Mandarin
Cantonese
FEQ127R317
As a Manager, Solutions Architect, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Greater China Region market. 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 customers' companies. You will report to the AVP, Field Engineering.
The impact you will have:
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Manage hiring, building the pre-sales team of Solutions Architects
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Rapidly scale the designated Field Engineering segment organisation without sacrificing quality
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Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
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Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
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Promote a solution and value-based selling field-engineering organisation
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Display an understanding of business needs and revenue potential for accounts in the assigned region
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Build Databricks' brand in partnership with the Marketing and Sales team
What we look for:
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Experience in Pre Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
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Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
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Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
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Great at instituting processes for technical field members to improve efficiency
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Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science
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***Ability to communicate effectively in English and in Mandarin or Cantonese *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.
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, 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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About Databricks

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+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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