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: 3 hours agoStatus: Live

Job Summary

Drive Lakebase revenue in Japan by identifying and closing Lakebase opportunities, collaborating with regional AE teams. Communicate Lakebase value to platform, data, and IT stakeholders; manage multi-stakeholder sales cycles; run POCs and proofs of value to validate OLTP workloads and AI-enabled applications; enable field teams and shape territory plans to scale Lakebase adoption.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Drive new 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—including platform teams, developers, data teams, and central IT—articulating how Lakebase helps ship features faster and improves governance and cost efficiency.
•Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the best choice for operational workloads powering real-time, AI-driven experiences.
•Run complex, multi-threaded sales cycles from discovery through negotiation and close, navigating executive, technical, and line-of-business stakeholders.
•Orchestrate proof-of-value and POCs validating Lakebase benefits for OLTP workloads, reverse ETL, and AI/ML-driven applications with solution architects and specialists.

Key Requirements

•7+ years of enterprise SaaS sales experience with a proven track record of consistently exceeding quota in complex, multi-stakeholder deals.
•Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
•Strong understanding of modern data and application architectures (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).
•Experience leading specialist or overlay motions, working with core Account Executives to create and progress opportunities.

Experience:7+ yearsEnterprise SaaSData platformsOperational databasesAI infrastructureCloud-native

Education:Bachelor's

Skills:CommunicationNegotiationStorytellingPresentationRelationship building

Tech Stack:PostgresLakebaseCloudAWSAzureGCPDBaaS

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: 3 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Drive new 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—including platform teams, developers, data teams, and central IT—articulating how Lakebase helps ship features faster and improves governance and cost efficiency.
•Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the best choice for operational workloads powering real-time, AI-driven experiences.
•Run complex, multi-threaded sales cycles from discovery through negotiation and close, navigating executive, technical, and line-of-business stakeholders.
•Orchestrate proof-of-value and POCs validating Lakebase benefits for OLTP workloads, reverse ETL, and AI/ML-driven applications with solution architects and specialists.

Key Requirements

•7+ years of enterprise SaaS sales experience with a proven track record of consistently exceeding quota in complex, multi-stakeholder deals.
•Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
•Strong understanding of modern data and application architectures (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).
•Experience leading specialist or overlay motions, working with core Account Executives to create and progress opportunities.

Experience:7+ yearsEnterprise SaaSData platformsOperational databasesAI infrastructureCloud-native

Education:Bachelor's

Skills:CommunicationNegotiationStorytellingPresentationRelationship building

Tech Stack:PostgresLakebaseCloudAWSAzureGCPDBaaS

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