Lakebase Sales Specialist, Associate Director (Germany)

Nitcservices

München

Vor Ort

EUR 120.000 - 150.000

Vollzeit

14 Tage+
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Zusammenfassung

Databricks in Munich, Germany, is seeking a Lakebase Sales Specialist, Associate Director, to lead the adoption and growth of Lakebase in the region.

In this role you will identify opportunities, run proof-of-value projects, and move customers through complex cycles with executives, developers, and IT teams, delivering a modern, serverless Postgres foundation.

This is a high-impact position with significant revenue influence at a fast-growing data and AI company.

Aufgaben

  • Drive Lakebase revenue by identifying, qualifying, and closing opportunities with regional Account Executives.
  • Lead with outcomes for Lakebase personas—platform teams, developers, data teams, IT.
  • Sell fully managed Postgres for intelligent apps; Lakebase for operational workloads.
  • Run multi-threaded sales cycles from discovery to close with executives and technical stakeholders.
  • Orchestrate POC s to prove Lakebase benefits for OLTP workloads, reverse ETL and AI apps.
  • Compete and win against legacy databases using benchmarks and customer references.
  • Align to outcomes like performance, productivity, time-to-market, cost reduction.

Jobbeschreibung

databricks


Full-time


Commensurate with experience


Who are we looking for?

Company: DatabricksCategory: HQ Management


Professional Overview

Databricks is seeking a highly driven Lakebase Sales Specialist, Associate Director, to spearhead the adoption and growth of Databricks Lakebase in Germany. In this pivotal role, you will empower customers to modernize their operational data foundation with Lakebase, our innovative fully-managed Postgres offering tailored for intelligent applications. Lakebase provides a unified, governed foundation for operational workloads and AI-native applications, helping organizations transition from fragmented database estates to a modern, scalable, serverless Postgres service.


This high-impact position is integral to the Lakebase Go-To-Market team, working in close collaboration with regional Account Executives and broader account teams. You will play a critical role in identifying, qualifying, and closing Lakebase opportunities, driving significant revenue and market penetration. This is an unparalleled opportunity to be at the forefront of operational databases for AI and intelligent applications within one of the world's fastest-growing data and AI companies.


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 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.

  • Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.

  • Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.


Eligibility & Requirements

Please note: The provided raw description snippet does not contain a dedicated "Requirements" or "Eligibility" section. Therefore, specific qualifications and experience requirements cannot be extracted from the given text.

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