Lakebase Sales Specialist (Postgres)

Location: Milan, Italy

Salary: €194,000–€265,000 EUR annually

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, AI, and agent applications.

What you will do

• Drive Lakebase revenue, activations, and consumption within a defined territory in partnership with Account Executives.
• Sell the value of fully managed Postgres for operational workloads and AI-native applications to platform, application, data, and IT teams.
• Lead complex, multi-threaded sales cycles from discovery and value hypothesis through negotiation and close.
• Orchestrate proof-of-value initiatives and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications.
• Build strategic opportunities, support Postgres standardization and migration, and compete against legacy and cloud-native databases.
• Partner with Product Management, Marketing, Customer Success, partners, and ISVs while enabling the wider sales organization.

Requirements

• Proven enterprise SaaS sales experience with consistent quota attainment in complex, multi-stakeholder deals.
• Experience selling data platforms, operational databases such as Postgres or MySQL, cloud-native DBaaS, or adjacent data and AI infrastructure.
• Understanding of modern data and application architectures, including cloud-native services, microservices, and event-driven systems.
• Ability to sell to developers, architects, data engineers, product leaders, operations teams, and other business stakeholders.
• Experience with specialist or overlay sales motions, executive engagement, architecture whiteboarding, value selling, communication, storytelling, and negotiation.
• Fluency in English and Italian is required, and the role is based in Milan, Italy. Bachelor’s degree or equivalent practical experience is required.

Nice to have

• Experience selling Postgres, OLTP workloads, transactional cloud database services, or related products to strategic accounts.
• Familiarity with lakehouse architectures, AWS, Azure, GCP, reverse ETL, real-time decisioning, and operational analytics.
• Exposure to AI-native or agent-driven applications and low-latency operational data services.
• Experience in high-growth, category-creating environments and collaborating with partners or ISVs on co-selling motions.

Culture & Benefits

• Work with a global Data and AI company supporting more than 20,000 organizations.
• Access region-specific employee benefits and perks.
• Join an inclusive workplace committed to equal employment opportunity and diverse teams.
• Compensation may also include an annual performance bonus, equity, and benefits.

Hiring process

• The interview process evaluates business ownership, strategic account engagement, field and customer enablement, and market voice and thought leadership.