Top Tech Jobs & Startup Jobs

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.

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.

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.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI systems on the Databricks platform. Own architecture and implementation across data engineering, distributed Spark workloads, MLOps, and user-facing applications while embedding with customers, guiding adoption, and contributing reusable accelerators.

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.

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.

Senior technical leader for strategic Financial Services accounts in Japan. Define Databricks lakehouse and AI platform architecture, lead designs for FSI use cases (fraud/AML, risk, regulatory reporting), influence C‑level stakeholders, partner with cloud/SI ecosystem, and mentor other architects to drive platform adoption and outcomes.

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.

Lead corporate FP&A planning and forecasting processes, own the planning calendar, build driver-based financial models, prepare executive and Board reporting, support capital-raising modeling, perform ad hoc analyses for senior leadership, and lead process and systems optimization including automation.

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.