Pre-sales Solutions Architect for Financial Services at Databricks, focusing on guiding technical evaluations, advising sales teams, and integrating the Databricks Lakehouse Platform into enterprise ecosystems. The role involves hands-on work with Big Data, Analytics, AI, Data Engineering, and Data Science problems, supporting customer adoption and authoring reference architectures.

Pre-sales Solutions Architect for Databricks Lakehouse Platform, focusing on Retail/CPG sector. Guides technical evaluation, acts as a technical advisor, and integrates Databricks with 3rd-party applications. Requires experience in Big Data, AI, Data Science, Data Engineering, and public cloud architectures.

Pre-sales Solutions Architect for Databricks' Lakehouse Platform, focusing on Analytics, AI, Big Data, and Public Cloud within the Digital Native sector. The role involves guiding technical evaluations, acting as a technical advisor to sales, advocating for customers to product teams, and helping clients achieve data-driven outcomes by integrating Databricks into their enterprise ecosystems. Responsibilities include architectural expertise, leading prospect evaluations, authoring reference architectures, integrating third-party applications, and engaging with the technical community through workshops and seminars. Requires pre-sales or post-sales experience, understanding of customer-facing roles with strengths in Data Engineering or Data Science, experience with public cloud architectures, Big Data technologies (including Spark, AI, Data Engineering), and fluent coding in Python or Scala. Fluency in Japanese and English is also required.

Pre-sales Solutions Architect for Databricks in the Kansai region, focusing on driving technical evaluations and solution designs for customers using the Databricks Lakehouse Platform. The role involves guiding customers on their data and AI strategy, integrating Databricks with third-party applications, and acting as a technical advisor.

This role is for an Enterprise Account Executive focused on the Public Sector in Japan. The primary responsibility is to drive sales and adoption of Databricks' data and AI platform within government ministries, local governments, and public institutions. The role involves managing the full sales cycle, building executive relationships, and collaborating with internal and partner teams to support digital government initiatives. Key aspects include exceeding revenue targets, developing territory strategies, expanding platform usage in new accounts, identifying AI and data use cases, and using a value-based sales approach. Experience in SaaS, cloud, AI, or big data sales within the Japanese public sector is required, along with a deep understanding of public sector priorities, procurement processes, and compliance frameworks.

The Engagement Manager role at Databricks focuses on ensuring customer success by managing the entire lifecycle of customer engagements, from initial orchestration to successful delivery and follow-up. This strategic role partners with Sales, Customer Success, Support, and Product teams to maximize customer value from Databricks' products and services, driving professional services and training bookings and revenue.

Enterprise Account Executive role focused on acquiring and growing Databricks customers in the Financial Services Industry (FSI) vertical. Responsibilities include securing new logos, expanding use cases in existing accounts, building C-level relationships, and driving negotiations and growth of Databricks usage. Requires experience selling complex software deals, specifically to FSI customers in Japan, and knowledge of sales methodologies and SaaS solutions, including Data/AI/ML technologies.

Enterprise Account Executive focused on selling Databricks' data and AI platform to high-growth, digital native companies in Japan. The role involves closing new accounts, growing existing ones, and influencing customer data strategies by demonstrating product value and exceeding sales targets.

Sales role focused on selling Databricks' data and AI platform to emerging enterprise accounts in Japan.

Enterprise Account Executive - Hunter role focused on identifying, acquiring, and growing new business opportunities for Databricks' Data Intelligence Platform, which unifies and democratizes data, analytics, and AI. The role involves securing new logos, driving revenue growth, building C-level relationships, and understanding customer business needs to deliver tailored solutions. Experience selling complex software deals, PaaS/SaaS solutions, and Data/AI/ML technologies is required.

Manager, Enterprise Presales for Databricks in the Kansai region, focusing on building and leading a team of Solutions Architects to drive revenue and support complex sales cycles within enterprise accounts. Requires experience in managing technical teams, pitching solutions, and understanding data-driven decisions, AI, and Cloud software.

Enterprise Account Executive for Databricks in Tokyo, Japan, focusing on the Media vertical. The role involves acquiring and growing strategic accounts, establishing C-level relationships, and driving the adoption of Databricks' Data Intelligence Platform.

Enterprise Account Executive role focused on acquiring and growing Databricks customers in the Manufacturing vertical in Japan. The role involves selling complex software deals, understanding customer business needs, and expanding Databricks use cases.

Enterprise Account Executive for Databricks in the Kansai region, focusing on acquiring and growing enterprise accounts in the Manufacturing sector. Responsibilities include securing new logos, expanding use cases, building C-level relationships, and driving sales growth for Databricks' data, analytics, and AI platform.

Strategic Account Executive for Databricks, focusing on the Manufacturing vertical in Tokyo. Responsibilities include driving growth, expanding use cases, building C-level relationships, and closing new accounts. Requires extensive experience in complex software sales, understanding of the Manufacturing domain, and familiarity with Data/AI/ML technologies.