Databricks

Staff Product Manager for Databricks' AI Platform, focusing on the infrastructure that powers machine learning and AI at scale. The role drives the vision and roadmap for AI platform product areas, enabling enterprises to build, train, deploy, and monitor AI/ML systems. It involves deep technical collaboration, customer engagement, and commercialization strategy for AI platform features.

Product Manager to own AI-powered GTM agents end-to-end, defining product strategy, roadmap, and partnering with the AI Ops builder team on delivery. The role translates field reality into a product roadmap that improves how Databricks sells.

Product Manager to define and drive the vision for Databricks' enterprise AI offerings, focusing on generative AI, agents, and new workloads. The role involves partnering with engineering and research to turn AI advancements into practical products, engaging with customers to uncover use cases, and shaping the long-term strategy for Databricks AI.

Product Manager for Databricks AI, focusing on defining and driving the vision for enterprise AI, generative AI, and agents. The role involves partnering with engineering and research to turn AI advancements into practical tools, uncovering new use cases, and building products for scale and longevity. Requires strong technical background in AI/ML and experience with enterprise SaaS or developer platforms.

This role focuses on designing and launching new learning experiences for Databricks users, leveraging an AI-first mindset and data-driven approaches to scale impact and drive adoption of Databricks' platform, particularly within their Free Edition. The role involves end-to-end program management, stakeholder engagement, and defining learning initiatives for technical audiences.

Solutions Architect for Databricks in the retail sector, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves developing technical strategies, building customer champions, and acting as a trusted advisor for data analytics architecture and the Databricks Data Intelligence Platform.

This role is a "product manager for the field" within Databricks' Forward Deployed Engineering (FDE) team. The Deployment Strategist (DS) acts as a bridge between customer business problems and Databricks' technical solutions, focusing on winning high-value AI opportunities. The DS is responsible for the non-technical lifecycle of an FDE engagement, including C-suite discovery, value scoping, defining Minimum Viable Products, writing PRDs, managing projects, and driving solutions to adoption. The role requires C-suite gravitas, product thinking, and execution skills, partnering with Sales and FDE Engineers to deliver outcomes.

Solutions Architect (Pre-sales) role at Databricks, focusing on demonstrating the Data Intelligence Platform's capabilities to customers in the Benelux region. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on customer interactions and solution architecture design across data engineering, data warehousing, and GenAI.

This role focuses on Go-To-Market (GTM) strategies for Databricks' strategic AI partnerships, including alliances with Anthropic, OpenAI, and Google Gemini. The Sr. Alliance Director will set GTM strategy, manage co-sell investment programs, build relationships between Databricks and AI partners, and drive business outcomes. The role requires GTM fluency, Generative AI domain expertise, and established relationships within major AI labs and cloud providers.

Sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, supporting Microsoft. Drives value-based growth within enterprise clients, expanding Databricks' footprint in Big Data, Advanced Analytics, and AI.

This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data.

This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data.

Product Marketing Director for Databricks' new native application, Lakewatch, an agentic SIEM for cybersecurity, governance, and risk teams. The role focuses on defining and executing the go-to-market strategy, driving adoption, establishing market leadership, and improving sales effectiveness.

Databricks is seeking a senior executive to lead their Manufacturing and Automotive industry go-to-market (GTM) strategy across APJ. This role focuses on driving pipeline growth and customer adoption by leveraging data and AI to redefine how physical products are built, delivered, and optimized. The ideal candidate will have deep industry domain knowledge, experience in enterprise technology GTM, and a strong understanding of the AI landscape's application in manufacturing.

This role is for an Industry Lead Solutions Architect in Financial Services at Databricks. The primary focus is on defining and executing industry strategy, creating domain-specific assets, driving joint GTM strategy with partners, and engaging with customers to advise on how Databricks solves their challenges. The role involves guiding customers through the use case lifecycle and enabling field teams and partners. While Databricks is an AI company and the role involves positioning Databricks' capabilities, the core function is not building or directly shipping AI/ML models but rather enabling the go-to-market strategy and customer adoption of existing solutions, including AI-powered ones.

This role is a "product manager for the field" within Databricks' new Forward Deployed Engineering (FDE) team. The Deployment Strategist will partner with sales and engineering to understand customer business problems, scope AI solutions (MVPs), define requirements (PRDs), manage project execution, and ensure successful adoption and value realization. The role focuses on the non-technical lifecycle of AI engagements, bridging C-suite business needs with Databricks' technical capabilities to deliver production-ready AI outcomes.

Databricks is seeking a Strategic Hunter Account Executive for their Lakebase offering, a fully-managed Postgres solution for intelligent applications. This role involves driving adoption, identifying and closing opportunities, and partnering with regional Account Executives to modernize customers' operational data foundations. The focus is on selling the value of managed Postgres for AI-driven experiences and complex sales cycles.

This role is for a Named Core Account Executive in the Manufacturing sector, focusing on selling Databricks' Data and AI solutions to enterprise clients in France. The primary responsibility is to drive revenue growth and platform consumption by developing strategic account plans, influencing C-level stakeholders, and identifying high-value use cases. The role requires a proven track record in selling Data & AI solutions, complex cloud-based offerings, and navigating large enterprise deals.

This role is a Go-to-Market Leader for the Retail & Consumer Goods sector in APAC, responsible for architecting and executing a strategy to drive adoption of Databricks' Data and AI platform. The leader will build relationships, identify opportunities, develop partnerships, and influence product direction to accelerate revenue growth and transform customer operations.

Databricks is seeking a Head of Marketing for Japan to lead the country's marketing strategy, focusing on accelerating category leadership, pipeline growth, and customer adoption. This role requires a strategic, commercially-minded leader to partner with sales and other functions, develop integrated marketing plans, and champion modern, AI-enabled marketing practices. The ideal candidate has 15+ years of marketing leadership experience in enterprise technology, proven success in the Japanese market, and a strong understanding of AI's impact on marketing.

Global Account Manager for Databricks in the Pharmaceutical Industry, responsible for driving strategic relationships, adoption, and expansion of Databricks solutions. Focuses on understanding business needs, leveraging technology for impactful solutions, and shaping account strategy for enterprise-wide transformation using the Databricks Data Intelligence Platform.

Chief of Staff to the CPO at Databricks, focusing on operational excellence and strategic alignment within the People organization. This role will support the transformation of the People organization into an AI-first function, identifying opportunities to leverage AI for automation, insights, and improved decision-making.

Product Marketing Manager for Databricks' agentic AI products (Genie), focusing on messaging, content, and GTM strategies for business and technical buyers in the enterprise market. Requires experience marketing Data & AI products and translating complex AI capabilities into clear narratives.

Product Marketing Director for Databricks AI, focusing on Agent Bricks and core ML products. Responsibilities include leading marketing strategy, driving AI adoption, enabling sales and partners, generating pipeline, and fostering developer adoption. This role translates product innovation into market narratives, content, campaigns, and launches, while building partnerships with product and engineering teams and scaling the business globally. The role also involves building trust with customers and sharing their agentic AI stories.

This role is a Sr. Solutions Engineer focused on pre-sales for large enterprise accounts in the manufacturing sector. The primary responsibility is to define and lead the technical strategy for these accounts, driving wider and deeper adoption of Databricks' ML & AI products. While the role is technical and requires understanding ML/AI applications, the core function is sales enablement and technical account management, not direct ML model development or deployment.

Senior Technical Program Manager for Professional Services at Databricks, focusing on driving high-stakes, multi-workstream programs to ensure customer success and scalability with the Databricks Lakehouse architecture. The role involves architecting standards, fostering cross-functional synergy, managing strategic risks in digital transformations, and multiplying knowledge through training and documentation. Requires technical fluency, experience with AI-enabled tools for program delivery, and senior leadership engagement.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role involves collaborating with sales, field engineering, and internal expert teams to resolve technical issues, create execution plans, and navigate product/engineering teams for innovations. While the company is in the AI space and the role supports AI workloads, the core function is customer-facing technical sales support and product adoption, not direct AI/ML model development or research.

This role leads Go-To-Market (GTM) programs for Databricks' Digital Native vertical, focusing on scaling pipeline and consumption. The leader will act as a COO, translating strategy into execution, partnering with sales and field engineering, and influencing product roadmaps. Key responsibilities include owning the operating model, informing product-GTM strategy, synthesizing data-driven feedback, influencing internal leadership, building market presence, evangelizing AI adoption, designing full-funnel programs, creating assets, driving field activation, and measuring commercial outcomes. The role requires a strategic and operational mindset, technical knowledge of Databricks, AI/LLM, and open-source ecosystems, and proven experience building AI systems.

This role focuses on connecting Databricks' data and AI solutions to measurable business outcomes within the Financial Services sector. The Business Value Consultant acts as a trusted advisor, partnering with sales teams to articulate and quantify the impact of Databricks' offerings, build business cases, and drive value creation for customers. While the role involves understanding AI and ML's business support, it is not a hands-on AI/ML development or research position.

This role is for a Sr. Product Designer on the Enterprise Platform UX team at Databricks. The team focuses on governance, security, and platform observability. The designer will help shape user experiences for platform admins, focusing on intuitive controls for access and compliance, maintaining a secure environment, and providing insights into platform health. A key responsibility is exploring how Generative AI can enhance the platform experience and developer workflows. The role requires strong product design skills, experience shipping digital products, and the ability to lead complex design projects. Experience in data visualization, analytics dashboards, or designing for complex data monitoring is a plus, as is experience in Cloud, Developer Experience, AI, or Big Data spaces.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring healthy consumption of Databricks workloads. While the company is in the AI space, this role is customer-facing and focused on platform adoption rather than direct AI/ML model development.

Sales Specialist Account Executive for Databricks Lakebase, a managed Postgres offering for intelligent applications. The role focuses on driving adoption and revenue for Lakebase by partnering with regional Account Executives, identifying opportunities, and articulating the value proposition to platform, application, and data teams. Success involves driving new revenue, leading complex sales cycles, orchestrating proof-of-values, and enabling field teams.

Sales Specialist Account Executive for Databricks Lakebase, a managed Postgres offering for intelligent applications. The role focuses on driving revenue by selling the value of fully-managed Postgres for operational workloads and AI-native applications, partnering with regional Account Executives and engaging with platform, application, and data teams.

This role focuses on designing and executing sales compensation strategies, leveraging AI capabilities to improve insights and enhance self-service within the GTM Compensation function. The primary goal is to create transparent and motivating compensation systems for the sales organization.

This role defines and executes GTM strategies for Databricks' partner ecosystem (SI, Cloud, ISV channels). It involves strategic analysis, operational rigor, and translating partner performance into actionable insights. The role will partner across various teams to scale the GTM business, including defining strategy, advising leadership, orchestrating planning, synthesizing executive reports using BI and AI tools, building reporting infrastructure, and driving performance visibility.

This Director role focuses on Go-To-Market (GTM) strategy and execution for Databricks' sales development organization. A key responsibility is to drive the strategy for incorporating agentic AI into critical workflows to boost productivity and ensure seamless lead-to-opportunity processes. The role involves analyzing pipeline, sales development performance, and planning incremental growth programs, resource allocation, and territory planning. It requires partnering with sales, marketing, and other functions to ensure an integrated pipeline motion and supporting the incorporation of new products into demand generation activities.

Solutions Architect role focused on guiding technical evaluations and adoption of the Databricks Lakehouse Platform for customers, involving hands-on work with Apache Spark, AI, and Big Data technologies within a sales process.

Sales role focused on driving adoption of Databricks' AI/BI and Genie platform, which enables conversational, AI-powered analytics for enterprise customers. The role involves partnering with Account Executives to identify and close opportunities, engaging with C-level and business leaders, and displacing legacy BI platforms.

Principal Data Scientist to serve as the statistical voice of the Data Science organization, translating complex data science findings into clear, actionable narratives for executive leadership and influencing data-driven decision-making across the company. This role requires deep statistical expertise, exceptional communication skills, and a proven track record of upleveling teams and setting analytical standards.

This role is for a strategic alliance leader to manage the Databricks partnership with Accenture in the APJ region. The goal is to drive consumption growth of the Databricks Data Intelligence Platform, maximize the impact of the Accenture Databricks Business Group, and build a joint go-to-market strategy. The role requires deep understanding of system integrators, cloud ecosystems, and data and AI transformation, engaging with C-level executives to translate strategy into executable plans and measurable business outcomes. The impact includes aligning regional priorities, driving partner-led consumption, leading joint business planning and co-selling, overseeing joint data and AI solutions, and representing Databricks at executive levels.

Databricks is seeking a Senior Solutions Architect for their Lakebase team in Berlin, Germany. This role focuses on driving adoption of a specific product line by engaging with clients, understanding their needs, and positioning Databricks' solutions. The architect will collaborate with account teams, develop strategies, deliver presentations and demos, and act as a trusted advisor. The role requires deep expertise in transactional databases, integration with Big Data/Lakehouse/AI ecosystems, and cloud environments. The architect will also influence the product roadmap and serve as a tier-3 escalation point.

This role is for a Senior Solutions Architect focused on Databricks' Lakebase product line, which integrates transactional data systems within Big Data, Lakehouse, and AI ecosystems. The architect will partner with account teams to engage clients, position the product, and drive adoption. Key responsibilities include designing engagement strategies, acting as a trusted advisor, enabling clients through workshops, influencing product roadmaps, and serving as a tier-3 escalation point. The role requires deep expertise in transactional databases, experience architecting solutions within AI/ML ecosystems, and proficiency in SQL and Python.

Lead Solutions Architect for Databricks' Public Sector in Japan, focusing on defining and executing data and AI strategies for government clients. The role involves owning technical strategy, leading solution design for various use cases, ensuring security and compliance, and influencing the ecosystem to drive adoption and mission outcomes. Requires deep public sector experience in Japan, strong technical background in data/AI/cloud architecture, and excellent communication skills in Japanese and English.

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.

Sales role focused on driving adoption of Databricks AI/BI and Genie, which are AI-powered analytics solutions for enterprise customers. The role involves partnering with Account Executives to identify and close opportunities, engage with C-level stakeholders, and displace legacy BI platforms with modern, AI-driven solutions.