Top Tech Jobs & Startup Jobs

Leads strategic enterprise sales for Databricks’ Data Intelligence Platform across the French financial services sector. Develops account and territory plans, identifies data and AI use cases, builds executive and partner relationships, drives adoption of usage-based SaaS, and exceeds bookings and usage targets. Coordinates internal specialists, professional services, training, and cloud partners while guiding customer negotiations and closing complex enterprise opportunities.

Designs and optimizes production-grade batch and streaming data systems on Databricks. Leads technical designs, proofs of concept, workload sizing, application development, performance testing, and customer engagements. Builds operational data layers and AI-enabled data applications while advising stakeholders on architecture and platform adoption. Mentors field teams, creates reusable technical assets, and delivers workshops and presentations. The role is Amsterdam-based, hybrid, fixed-term for 12 months, and requires up to 30% travel.

Develop sales opportunities for Databricks across Middle Eastern and African markets. Research target accounts, conduct personalized email, cold-call, and social-selling outreach, maintain prospect communications, identify client needs, and build pipeline in partnership with the broader sales team. The role requires fluent Arabic and English, strong communication skills, interest in big data and AI, and a willingness to develop enterprise software sales expertise. The position is hybrid in Paris.

Partner with SEMEA sales leadership to shape go-to-market strategy and accelerate regional growth. Analyze large datasets, build scalable stakeholder tools, and own reporting, forecasting, territory planning, quota, and productivity modeling. Lead operational cadences, identify optimization opportunities, resolve data and business challenges, and contribute to EMEA and global initiatives. The role requires strong analytical, technical, communication, and cross-functional collaboration skills in a fast-paced environment.

Lead technical strategy and pre-sales engagement for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Build executive relationships, present technical value propositions, coordinate virtual teams, develop technical champions, align account strategies, and mentor colleagues. The role requires expertise in big data, data science, cloud, ML and AI use cases, plus production programming experience in Python, R, Scala, or Java.

Lead technical strategy and adoption of Databricks solutions for large financial services and insurance accounts. Partner with enterprise sales teams, executives, influencers, and technical resources to drive data and AI transformation, build technical champions, guide evaluations, and align solutions with business outcomes. The role requires expertise in big data, data science, cloud platforms, machine learning, programming, value selling, and technical leadership across global enterprise accounts.

Runs Databricks’ startup program, including applicant evaluation, tracking, automation, founder engagement, technical assessments, and internal tooling. Builds AI-powered workflows, discusses models, agents, data, and automation with founders, and communicates insights to Product and Databricks Ventures. Organizes founder and investor events in San Francisco, develops relationships with venture firms, represents Databricks in the startup ecosystem, and grows into broader startup strategy and ownership.

Lead customer-facing delivery of production-grade data and AI solutions using Databricks. Own architecture and design decisions, build end-to-end data pipelines, applications, and ML/AI integrations, and guide enterprise customers through implementation. Collaborate with engineering, product, project management, and support teams; manage technical scope and outcomes; provide training and documentation; and develop reusable frameworks and best practices. Travel to customers approximately 20% of the time.

Design and deliver custom, production-grade full-stack applications and data and AI solutions for strategic Databricks customers. Own architecture, develop backend and frontend systems, integrate data pipelines and AI models, collaborate with customer stakeholders and internal teams, and create reusable accelerators. The role requires strong software engineering across multiple languages and technologies, customer-facing communication, adaptability, and travel to client sites up to 50% of the time.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.