Jobs at Cloudera

Owns and grows enterprise accounts across Singapore and the Philippines by developing account plans, building executive relationships, managing pipelines and forecasts, leading internal teams, closing large software transactions, and exceeding subscription, renewal, services, and training revenue targets. The role requires extensive enterprise software sales experience and knowledge of data management, data warehousing, containers, Kubernetes, and public cloud infrastructure.

Provides technical and business consultation to sales teams, prospects, and customers. Responsibilities include discovering use cases, leading requirements workshops, designing and presenting enterprise solutions, defining technical selling strategies, supporting account planning, understanding competitive technologies, translating customer feedback into product roadmap items, evangelizing through events and content, and mentoring team members. Requires extensive enterprise software, big data, solution architecture, infrastructure, data governance, Linux, and communication experience.

Own the technical sales process from discovery through post-sales, designing and demonstrating data platform solutions, supporting customer use cases, presenting product vision, and partnering with account teams. The role requires customer-facing technical expertise across cloud platforms, big data, data engineering, machine learning, Kubernetes, Linux, and open-source technologies, along with public speaking and solution architecture skills.

Owns full-cycle enterprise sales for Cloudera’s supported OEM Mistral offering and Anywhere Cloud, from prospecting and proof of concept through negotiation, close, renewal, and expansion. Manages complex, multi-threaded deals, executive relationships, pipeline, forecasting, and quota attainment. Coordinates account executives, partners, engineering, product, legal, implementation, and solution specialists while positioning AI within customers’ data strategies and hybrid technology environments.

Provides technical and business consultation throughout the sales process, including customer discovery, requirements workshops, solution architecture, technical presentations, competitive positioning, and account strategy. The role designs and demonstrates enterprise data solutions, translates customer feedback into product roadmap input, supports evangelism, develops enablement materials, and mentors associate engineers. Candidates need extensive enterprise software and Big Data experience, strong Linux and architecture skills, and familiarity with data engineering, infrastructure, security, and governance.

Designs, investigates, and optimizes infrastructure for production AI workloads across GPU environments, on-premises datacenters, private infrastructure, and public clouds. Diagnoses Linux, GPU, container, networking, storage, and hardware issues; develops benchmarking, diagnostic, deployment, and validation tooling; improves inference performance, GPU utilization, reliability, and scalability; and translates technical findings into product capabilities in collaboration with engineering and product teams.