Top Tech Jobs & Startup Jobs

Leads finance strategy for AI products, including GPU supply and demand planning, cloud capacity procurement, product pricing, unit economics, margin analytics, KPI development, cost allocation, ROI analysis, and capital allocation. Partners with Engineering and Product executives, builds scalable financial systems, and develops a high-performing product finance team.

Lead customer-facing Generative AI expert engagements for EMEA digital-native customers. Design and implement production-grade LLM solutions involving RAG, agents, fine-tuning, evaluation, safety, and MLOps on Databricks. Build proofs of concept, advise executives, influence product roadmaps, mentor field engineering teams, and represent the company through workshops, conferences, blogs, and technical briefings.

Lead technical architecture for generative AI and LLM solutions serving digital-native customers across EMEA. Responsibilities include designing RAG and agentic systems, building Databricks-based proofs of concept, fine-tuning open models, developing evaluation and safety approaches, and operationalizing large-scale ML workloads. The role also mentors field engineering teams, influences product roadmaps, supports strategic customer engagements, and represents Databricks through workshops, conferences, blogs, and executive briefings.

Provides advanced, customer-facing technical support for strategic Databricks customers. Troubleshoots Spark, SQL, Delta, streaming, ML, and AI performance issues; performs root-cause analysis; develops proofs of concept, monitoring solutions, playbooks, and knowledge resources; trains customer teams; and collaborates with Field Engineering, R&D, Sales, Product, and NOC teams. Serves as a trusted technical advisor and advocates for customers. Requires approximately 20% travel.

Lead technical authority for generative AI, designing production-grade LLM solutions for digital-native customers. Responsibilities include RAG and agentic architectures, fine-tuning, evaluation, proofs of concept, MLOps implementations, customer consulting, product feedback, technical enablement, mentorship, and external thought leadership across EMEA.

Lead technical expert for Generative AI and LLM solutions serving digital-native customers across EMEA. Designs architectures, builds proofs of concept and production reference implementations, leads model fine-tuning and evaluation, and advises customers on RAG, agents, safety, and MLOps. Partners with Product and Engineering, mentors field teams, influences roadmaps, and represents Databricks through workshops, conferences, blogs, and executive briefings.

Build trusted relationships with customers across France, provide technical sales support, design complex data and analytics architectures, develop proofs of concept, author technical resources, and lead workshops and events. The role requires expertise in big data analytics, public cloud platforms, coding, solution architecture, and customer-facing communication in French and English.

Lead technical strategy for new enterprise customers, design scalable data and AI architectures, guide Databricks adoption, conduct architecture discussions, build custom solutions, coordinate cross-functional resources, and advise senior technical stakeholders. The role requires strong Python and SQL skills, distributed data systems expertise, public cloud deployment experience, and fluency in French and English.

Build customer relationships and demonstrate Databricks’ AI and data analytics platform through prototypes, demos, reference architectures, workshops, and technical guidance. Collaborate with Account Executives to drive adoption, advise customers on architecture and implementation, and develop expertise in data and AI solutions. This is an in-office role based in Chicago, Illinois.

Drive enterprise SaaS and cloud sales across the DACH region, growing consumption in existing accounts and identifying new use cases. Develop territory strategies, exceed revenue quotas, manage forecasts in Salesforce, engage stakeholders and partners, and communicate the business value of Databricks’ Data Intelligence Platform to technical and executive audiences. The role requires consultative, outcome-focused selling and fluency in English and German.