Full-Time
Account Executive
Databricks
10,001+ employees
Unified data platform for analytics and AI
No salary listed
Senior
Mumbai, Maharashtra, India
- 5+ years of sales experience in SaaS/PaaS, or Big Data companies
- Prior customer relationships with CIOs and important decision-makers
- 3+ years of experience exceeding sales quotas
- Bachelor's Degree
- Prospect for new customers
- Assess your existing customers and develop a strategy to identify and engage all buying centres
- Use a solution approach to selling and creating value for customers
- Identify the most viable use cases in each account to maximise Databricks' impact
- Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory
- Build value with all engagements to promote successful negotiations and close
- Promote the Databricks enterprise cloud data platform
- Be customer-focused by delivering technical and business results using the Databricks Data Intelligence Platform
- Promote Teamwork
- You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organisation
- Simply articulate intricate cloud technologies and big data
Databricks provides a unified platform that combines data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. Databricks aims to simplify data management and analytics for its users, making it easier to derive valuable insights from their data.
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$19.3B
Headquarters
San Francisco, California
Founded
2013
Simplify's Take
What believers are saying
- Databricks secured $15 billion in Series J funding, indicating strong investor confidence.
- The acquisition of Neon enhances Databricks' serverless computing solutions for AI-native environments.
- Partnerships with major tech companies like Meta support AI model development, such as Llama.
What critics are saying
- Increased competition from Snowflake could impact Databricks' market share.
- Potential integration challenges with acquisitions like Neon and BladeBridge may delay product rollouts.
- Significant debt financing of $5.25 billion could strain financial resources if not managed properly.
What makes Databricks unique
- Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse architecture.
- The platform supports collaborative data science and machine learning workflows for diverse industries.
- Databricks integrates with various cloud services, enhancing data management and analysis capabilities.
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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
↑ 2%Databricks Ventures has invested in Anvilogic, a next-gen Security Operations Center (SOC) platform, to enhance detection engineering and triage. Anvilogic allows security teams to move beyond traditional SIEMs, offering flexibility and faster response times through scalable data lakehouses. The integration with Databricks enables detection engineering on lakehouse data. Anvilogic has been named Databricks’ Growth Built on Partner of the Year, marking a deeper partnership to modernize detection pipelines.
Databricks announced the acquisition of Neon, a company focused on serverless Postgres solutions, on May 14. Neon's co-founding team, known for their expertise in rearchitecting Postgres databases to achieve true storage and compute separation, will join Databricks. This move aims to provide developers with production-grade serverless Postgres services in the AI-native era.
Theom, an AI-native Data Operations Center platform, has raised $20 million in a Series A funding round led by Wing VC, with participation from Sentinel One, Snowflake, and Databricks. The funding will enhance product innovation, expand the team, and improve go-to-market strategies. Theom addresses data governance and security challenges in AI environments by providing real-time data insights and prioritization, positioning data as the new security boundary.
According to PitchBook, AI investment has driven U.S. startup funding to its highest in three years, with over $30 billion raised this season and $50 billion ongoing. U.S. startups' Q4 2024 funding hit $80 billion, the highest since 2021. OpenAI is in talks with SoftBank to raise $40 billion at a $260 billion valuation, potentially the largest ever, surpassing Databricks' $10 billion. In 2024, U.S. AI startups raised a record $97 billion, 46.4% of total U.S. startup funding.
Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.