refresh

热门公司

Trending

招聘

JobsDatabricks

Enterprise Account Executive - Public Sector

Databricks

Enterprise Account Executive - Public Sector

Databricks

Tokyo, Japan

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Stock options

Base salary plus commission

Sales training

Health benefits

Team trips

Equity

Healthcare

Required Skills

Zoom

LinkedIn Sales Navigator

Outreach

Enterprise Account Executive

  • Public Sector

As a Public Sector Account Executive – Japan, you will own strategic sales into Japan’s government and broader public sector, driving adoption of our data and AI platform across central ministries, local governments, and public institutions. You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Japan’s digital government and modernization initiatives.

The impact you will have:

  • Own and exceed revenue targets by winning new public sector customers across Japan, including central ministries, local governments, government agencies, and public institutions.

  • Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts.

  • Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms.

  • Proactively identify new AI and data use cases in government operations and feed these insights into Japan’s public sector go‑to‑market, influencing product direction and regional strategy.

  • Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens.

  • Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes.

What we look for:

  • 8+ years of SaaS, cloud, AI, or big data sales experience in Japan, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach.

  • Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers.

  • Deep understanding of public sector priorities in Japan, including typical buying processes, buying cycles, decision‑making structures, and the broader ecosystem of partners that support government projects.

  • Extensive experience with Japanese government procurement, including familiarity with budget formulation and execution, tender/RFP processes, evaluation criteria, and relevant compliance and security frameworks.

  • Strong background in selling usage‑based PaaS/SaaS or data, AI, and ML solutions is highly preferred.

  • Solid experience applying structured sales methodologies and processes (e.g., account planning, MEDDPICC, value selling, Command of the Message) to win complex, multi‑stakeholder deals.

  • Proven track record of creating strong customer champions and leading collaborative internal and external teams to support implementation and expansion within strategic accounts.

  • Clear understanding of how to build a focused partner strategy for the public sector and manage SI, cloud, and consulting partners to jointly win and deliver large, impactful projects.

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About 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+

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