DA

Senior Lakebase Sales Specialist (Central)

databricks· 55 open roles

Munich, Germany On-siteFull-time56 years ago
Salaryest.
€120,000 - €180,000
Experience
Mid
Job Type
Full-time
Posted
56 years ago
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About This Role

Databricks is seeking a Senior Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, a fully-managed Postgres offering for intelligent applications.

Key ResponsibilitiesAI-extracted

  • 1
    Drive new 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.
  • 2
    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.
  • 3
    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.
  • 4
    Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
  • 5
    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.
  • 6
    Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.

RequirementsAI-extracted

  • 8+ 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).
  • Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
  • Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.

Perks & BenefitsAI-extracted

Typically: Health coverage
Typically: Paid Time Off (PTO)
Typically: Flexible work arrangements
Typically: Professional development opportunities
Typically: Access to cutting-edge technology and innovation
Typically: Collaborative and diverse work environment

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