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Databricks

Lakebase Sales Specialist, Associate Director (Switzerland, Austria, Eastern Europe)

Databricks · Zürich, Switzerland

Posted 29 days ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
Databricks's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
low
0 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

The Lakebase Sales Specialist role at Databricks involves driving the adoption of Lakebase, a fully-managed Postgres offering, by collaborating with regional Account Executives and engaging with various customer teams. Responsibilities include identifying and closing sales opportunities, articulating the value of Lakebase for operational workloads, and orchestrating proof-of-value initiatives. The position requires a strong focus on strategic account engagement and field enablement to support sales efforts across the organization.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • Strong 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.
  • Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.

Nice to have

  • Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
  • Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
  • Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
  • Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
  • Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.

Worth weighing

  • No salary listed in the posting.
  • Role requires operating across multiple dimensions of the business simultaneously, which may indicate a high level of responsibility and complexity.
  • The position involves engaging with various stakeholders, which may require strong interpersonal skills and adaptability.
  • The focus on strategic account engagement suggests a need for strong relationship-building skills.

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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