Full-Time
Enterprise Account Executive
New Business
Posted on 5/1/2025
Databricks
10,001+ employees
Data lakehouse platform for analytics
No salary listed
Remote in Italy
Remote
 Sales & Account Management (1) |
|---|
- 3+ years of experience in direct software sales, including selling enterprise software platforms to large organisations in Italy.
- Successful track record of selling complex software solutions, consistently exceeding quota
- Demonstrated ability to generate demand and create substantial business value
- Ability to build executive-level relationships and develop new business
- Strong understanding of data analytics, AI, and cloud technologies
- Strong understanding of consumption-based sales models
- Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams
- Methods for co-developing business cases and gaining support from C-level Executives
- Experience developing partnerships with "champions" and client teams to support execution of your territory plan
- Experience developing a clear partner strategy and implement it to achieve success
- Familiar with sales methodologies such as MEDDPICC, Challenger, Command of the Message, and account/territory planning
- Fluent in Italian and business-level English
- You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks.
- You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals
- You will motivate a diverse team of big data and AI professionals to implement your business plan
- You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform
- You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement
- You will build exceptional value with all engagements to guide successful negotiations to close
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$27.1B
Headquarters
San Francisco, California
Founded
2013
Simplify's Take
What believers are saying
- Neurolabs, UiPath, and RESAAS expand Databricks into vertical data products and automation.
- Lakewatch and Lakebase broaden Databricks into security and agentic AI infrastructure.
- APJ revenue grew over 85% year over year, supporting aggressive regional expansion.
What critics are saying
- Snowflake and Microsoft Fabric compress Databricks' standalone warehouse and analytics expansion.
- Hyperscalers can bundle native data, BI, and AI tools below Databricks pricing.
- Partner ecosystems can reroute workflow control away from Databricks, weakening pricing leverage.
What makes Databricks unique
- Databricks unifies lakehouse analytics, ETL, machine learning, and generative AI on one platform.
- Unity Catalog provides governed access, lineage, and Delta Sharing across cloud environments.
- Google Cloud availability completes Databricks' AWS, Azure, and GCP hyperscaler coverage.
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People at Databricks who can refer or advise you
Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%RadixArk announces $100 million in Seed funding at a $400 million post-money valuation.
Persistent Systems has launched a Merchant Risk Management and Fraud Detection solution powered by Databricks' Data Intelligence platform. The solution uses Agentic AI to perform real-time merchant vetting during onboarding and continuous monitoring of transactions, chargebacks and third-party signals to detect fraud and compliance risks. Built on Databricks' platform, the solution triggers configurable actions when risk signals are detected, including enhanced monitoring or transaction restrictions. Persistent expects the solution to deliver a 20–40% reduction in fraud losses, 30–60% improvement in detection accuracy and 50–70% reduction in manual review effort. The solution is available now as a Databricks accelerator for banks, acquirers and payment service providers globally. Persistent is a Databricks Global Systems Integrator partner with over 900 certified professionals.
Databricks co-founder and CTO Matei Zaharia has been awarded the 2026 ACM Prize in Computing, recognising his contributions including Apache Spark, the open source big data project he created during his PhD at UC Berkeley in 2009. The award includes a $250,000 prize, which Zaharia is donating to charity. Under Zaharia's engineering leadership, Databricks has grown into a cloud storage and AI data foundation giant, raising over $20 billion at a $134 billion valuation and achieving $5.4 billion in revenue. Zaharia believes artificial general intelligence already exists but argues we should stop applying human standards to AI models. He advocates for AI agents that leverage their unique strengths in data processing rather than mimicking human assistants, citing security risks. His focus is on AI-powered research automation across fields like biology and engineering.
DBOS, Inc. has announced a technology partnership with Databricks to enhance the reliability and observability of agentic AI workflows. The collaboration integrates DBOS's open-source durable execution platform with Databricks and Lakebase, Databricks' serverless Postgres database designed for AI agents. The partnership addresses challenges in agentic AI, including long-running workflows and unpredictable model responses. DBOS stores workflow checkpoints in Lakebase in real time, enabling AI agent workflows to resume automatically after failures without data loss. Yutori, an AI company building autonomous web agents, is already using the combined platform to power its workflows. The integration is available immediately and requires no additional infrastructure or coding changes. DBOS is backed by joint MIT-Stanford research and serves AI startups and Fortune 100 companies.
Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.