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: 8 hours agoStatus: Live

Job Summary

Drive Lakebase revenue in a defined territory by identifying activations and consumption, partnering with regional Account Executives. Lead with outcomes for platform, data, and developer personas; articulate how Lakebase accelerates feature shipping, governance, and cost efficiency. Manage multi-stakeholder sales cycles, orchestrate proofs-of-value and POCs, and align to measurable business outcomes through cross-functional collaboration.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Key Responsibilities

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

Experience:7+ yearsEnterprise SaaSData platformsAICloudPostgreSQL

Education:Bachelor's

Skills:CommunicationNegotiationPresentationStorytellingLeadership

Languages:English

Tech Stack:PostgreSQLPostgresCloudAPIsData platforms

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: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Key Responsibilities

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

Experience:7+ yearsEnterprise SaaSData platformsAICloudPostgreSQL

Education:Bachelor's

Skills:CommunicationNegotiationPresentationStorytellingLeadership

Languages:English

Tech Stack:PostgreSQLPostgresCloudAPIsData platforms

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