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채용Databricks

Senior Counsel, Professional Services GTM

Databricks

Senior Counsel, Professional Services GTM

Databricks

Bellevue, Washington; Mountain View, California; San Francisco, California; Seattle, Washington

·

On-site

·

Full-time

·

2mo ago

보상

$203,900 - $285,425

복지 및 혜택

Parental Leave

Equity

필수 스킬

React

TypeScript

PostgreSQL

GAQ426R81

Location: We're looking to hire for this role locally to our offices based in Seattle, Bellevue, San Francisco, or Mountain View. This will be a hybrid role with in-office expectations.

Databricks is looking for a commercial attorney with significant professional services experience to join our growing go-to-market legal team. As Senior Legal Counsel, you will be joining a team that guides the global development of Databricks revenue-generating activities with responsibility for developing our strategic support for professional service provision. You will report to the VP, International General Counsel.

You have over 7 years of relevant commercial legal transactional experience, with a focus on professional services within complex technology transactions. You have meaningful experience negotiating professional services terms as part of SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property.

The impact you will have:

  • Become an important member of the go-to-market legal team responsible for reviewing and negotiating partner and customer agreements globally. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.

  • Cultivate strong relationships with field sales by providing sound, strategic counsel to support ongoing go-to-market efforts.

  • Help maintain and update our legal agreements, with particular focus on professional services, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.

  • Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, professional services offerings, information security architecture, and data privacy/compliance policies.

  • Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and privacy) to align, communicate, and enforce applicable policies and controls in our global contracting processes.

What we look for:

  • Minimum of seven (7) years of technology transactions experience, either at a law firm and/or in-house Attorney role.

  • Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of professional service delivery to support consumption growth.

  • Substantial experience drafting, negotiating, and closing complex professional services agreements and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property.

  • Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.

  • Demonstrated experience prioritizing competing demands and being responsive to client expectations in a fast-paced environment within a limited time period.* *

  • Outstanding written and verbal communication skills.

  • Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.

  • Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.

  • Experience and/or strong interest in mentoring and guiding junior legal team members.

  • JD and good standing to practice law in the relevant jurisdiction.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range**$219,800—$302,300 USD**

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range**$197,800—$272,050 USD**

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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Databricks 소개

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+

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