Databricks

1 month ago

Lakebase Sales Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lakebase Sales Specialist Account Executive in Korea responsible for driving Lakebase revenue, engaging with platform and data teams, and guiding complex multi-stakeholder sales cycles for Databricks Lakebase, a fully-managed Postgres offering for intelligent applications.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Drive Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
•Lead with outcomes for key Lakebase personas — platform teams, developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify data architectures, and improve governance/cost efficiency.
•Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads powering real-time AI experiences.
•Run complex, multi-threaded sales cycles from discovery through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
•Orchestrate proof-of-value and POCs that validate Lakebase benefits for OLTP workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.

Key Requirements

•7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
•Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS) to technical buyers and business leaders.
•Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
•Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
•Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities; executive presence with the ability to whiteboard architectures; strong value selling, negotiation, and communication skills.

Experience:Enterprise SaaSData platformsOperational databasesAI infrastructure

Education:Bachelor's

Skills:CommunicationNegotiationStorytellingPresentationProspecting

Languages:English

Tech Stack:PostgreSQLPostgresCloud-nativeServerlessOLTPCloud

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

1 month ago

Lakebase Sales Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Drive Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
•Lead with outcomes for key Lakebase personas — platform teams, developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify data architectures, and improve governance/cost efficiency.
•Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads powering real-time AI experiences.
•Run complex, multi-threaded sales cycles from discovery through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
•Orchestrate proof-of-value and POCs that validate Lakebase benefits for OLTP workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.

Key Requirements

•7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
•Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS) to technical buyers and business leaders.
•Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
•Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
•Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities; executive presence with the ability to whiteboard architectures; strong value selling, negotiation, and communication skills.

Experience:Enterprise SaaSData platformsOperational databasesAI infrastructure

Education:Bachelor's

Skills:CommunicationNegotiationStorytellingPresentationProspecting

Languages:English

Tech Stack:PostgreSQLPostgresCloud-nativeServerlessOLTPCloud

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