Top Tech Jobs & Startup Jobs

Partner with sales and engineering teams to design and implement large-scale data and AI architectures on the Databricks platform. Deliver proofs-of-concept, validate cloud and third-party integrations, advise customers on best practices, and promote open-source projects like Spark, Delta Lake, and MLflow.

Provide high-level administrative support to a VP and Director in Korea: manage complex international calendars, schedule meetings, plan and book travel, handle expenses and invoices, act as primary stakeholder liaison, maintain meeting records and SLAs, protect confidential information, and coordinate with US EA and other teams. May support other executives and travel for critical events.

Serve as a technical presales trusted advisor for Databricks in Italy, engaging customers, designing and delivering complex big-data solution architectures, building reference materials and demos, supporting adoption, and collaborating with account executives.

Lead product strategy and execution for an enterprise agentic AI platform. Own agent runtime, MCP connectors, intelligence/data layers, evaluation frameworks, developer experience (SDK/CLI/templates), and governance to enable domain teams to build and promote production-grade agentic applications rapidly while ensuring security, quality, and scalability.

Serve as a senior ML technical advisor and pre-sales engineer, designing production-grade ML/GenAI solutions on Databricks. Build MVPs, guide MLOps/LLMOps architectures (including RAG and vector DBs), integrate cloud services, mentor teams, create technical content, and support platform adoption through customer engagements and presentations.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Leads end-to-end projects spanning data engineering, distributed Spark systems, MLOps, CI/CD, and user-facing applications; embeds with customers, delivers production-grade systems, and contributes reusable assets and architecture guidance.

Lead and scale a team of Forward Deployed and AI Engineers delivering enterprise data migrations, lakehouse and Databricks implementations, generative AI and MLOps solutions. Drive regional performance, delivery governance, high-stakes enterprise engagements, executive escalation, hiring, mentoring, and measurable customer impact.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements data pipelines, integrates ML/AI models, ensures secure scalable deployments, provides technical guidance, and delivers measurable outcomes while contributing reusable assets and supporting customer adoption.

Lead customer-facing, production-grade data and AI solutions on the Databricks platform. Own architecture, design, and implementation across data engineering, ML/AI integration, and applications. Embed with stakeholders, deliver measurable outcomes, contribute reusable assets, and collaborate with product and engineering to resolve technical issues.

Lead a zero-to-one product area building unified, AI-driven employee and manager experiences. Define strategy for agentic automation, partner with engineering and People Ops, deliver integrations across HR systems, set success metrics, and drive adoption and iteration for internal productivity and AI workflows.