Databricks

3 months ago

Strategic Enterprise Sales Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead a high-growth enterprise sales team across SEA, driving quarterly and annual targets within the financial services sector. Build strategic revenue plans, cultivate executive-level relationships, translate complex data/AI product value to C-suite stakeholders, and coordinate cross-functional efforts to accelerate consumption of Databricks’ data platform in enterprise accounts.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Sr. Manager level

Key Responsibilities

•Own and exceed your team’s quarterly and annual sales targets in the SEA region.
•Develop and execute evolving revenue plans and growth tactics for strategic financial services customers.
•Cultivate executive relationships with customers and partners and lead cross-functional teams.
•Enable your team to understand customer goals and how they relate to Databricks’ value proposition.
•Lead the Front-Line Voice of Databricks by communicating value through proposals and presentations.

Key Requirements

•Minimum 10+ years of experience as a senior executive in a top-tier FSI, management consulting, or at a leading software company.
•5+ years of experience as a high-growth SaaS leader with a track record of scaling a sales team.
•Experience selling to Enterprise Customers in the SEA region.
•Strong knowledge of the FSI technical landscape, ecosystem, and relationships with hyperscalers.
•Experience translating a highly technical product to business value for the C-Suite; experience in big data or selling against open source/freemium is a plus.

Experience:10+ yearsFsiEnterprise salesSaasSea

Skills:LeadershipRelationship managementStrategic thinkingCommunicationTeam management

Languages:English

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

3 months ago

Strategic Enterprise Sales Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Sr. Manager level

Key Responsibilities

•Own and exceed your team’s quarterly and annual sales targets in the SEA region.
•Develop and execute evolving revenue plans and growth tactics for strategic financial services customers.
•Cultivate executive relationships with customers and partners and lead cross-functional teams.
•Enable your team to understand customer goals and how they relate to Databricks’ value proposition.
•Lead the Front-Line Voice of Databricks by communicating value through proposals and presentations.

Key Requirements

•Minimum 10+ years of experience as a senior executive in a top-tier FSI, management consulting, or at a leading software company.
•5+ years of experience as a high-growth SaaS leader with a track record of scaling a sales team.
•Experience selling to Enterprise Customers in the SEA region.
•Strong knowledge of the FSI technical landscape, ecosystem, and relationships with hyperscalers.
•Experience translating a highly technical product to business value for the C-Suite; experience in big data or selling against open source/freemium is a plus.

Experience:10+ yearsFsiEnterprise salesSaasSea

Skills:LeadershipRelationship managementStrategic thinkingCommunicationTeam management

Languages:English

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn