Jobs at Cloudera

The Partner Sales Manager at Cloudera is responsible for driving sales opportunities, developing partner strategies, managing partnerships, and forecasting sales metrics in alignment with corporate goals.

As a Staff Software Engineer, you will enhance replication support for Cloudera Data Platform, mentor junior engineers, and build robust replication systems.

Own and grow enterprise accounts by developing business plans, building executive relationships, leading cross-functional teams, and closing large software subscription, renewal, and professional services deals to meet quarterly and annual targets.

Embed with strategic enterprise customers to prototype, build, and productionize full-stack generative AI and agentic applications; advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to product. Focus on scalable, secure AI architectures and LLM/MLOps practices to operationalize RAG, fine-tuning, semantic search, and agentic workflows.

Lead technical sales for enterprise accounts: design and demonstrate Cloudera solutions, discover customer use cases, support pre- and post-sales, partner with account managers, advocate customer needs internally, and evangelize externally.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Lead global commercial and operational initiatives to accelerate Private AI adoption. Establish governance and operating rhythms, run monthly business reviews, prioritize accounts and use cases, define strategic metrics, align ecosystem and commercial strategies, and build business cases and growth models to guide executive decision-making.

Drive technical pre-sales with Account Executives: lead discovery, design tailored CDP solutions, deliver demos and proofs-of-concept, advise on architecture and streaming/data ecosystem adoption, and translate customer feedback into product and adoption initiatives.

Design and implement scalable hybrid-cloud Kubernetes platform components, enhance Taikun APIs and operators (C#/Go), ensure security and FedRAMP compliance, standardize observability, and enable seamless upgrades for large stateful workloads.

Design, implement, and maintain cloud connectors integrating Cloudera's platform with AWS, Azure, GCP. Build scalable data ingestion and synchronization code, lead architecture and design, mentor engineers, perform code reviews, troubleshoot production issues, and document APIs and designs.

Own and grow strategic enterprise accounts by driving net-new revenue, leading large sales cycles, aligning product and services experts, forecasting and leading internal teams, and exceeding software subscription and cloud consumption targets.

Embed with strategic customers to prototype, build, and productionize full‑stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to Product to scale enterprise AI deployments.

The role involves driving technical sales strategy for AI solutions, consulting on data architectures, and presenting to C-level executives, requiring extensive customer-facing experience and AI proficiency.

The Senior Solutions Architect will design and develop scalable data solutions, manage Hadoop clusters, and collaborate with clients to resolve complex data challenges.

The Senior Data Scientist at Cloudera will design and deliver AI-powered applications, focusing on generative AI and machine learning, while ensuring scalable and production-ready solutions.

Lead technical sales from discovery through post-sales, design and demonstrate Cloudera solutions, partner with account managers, advocate customer needs to product and engineering, and evangelize Cloudera externally.

Design and implement high-performance Rust infrastructure services (reverse proxies, credential brokers, log collectors) for Kubernetes. Ensure security-critical correctness with thorough testing (property-based and fuzzing), define systems architecture and observability, drive technical direction, mentor engineers, and own production deployments and performance-sensitive components.

Design and develop features for parallel and distributed SQL query engines, focusing on query federation, optimization, performance, and scalability. Collaborate with open source communities, lead cross-functional efforts, and mentor junior engineers to deliver cloud-native data platform solutions.

Drive partner-led revenue by generating pipeline, closing deals with partners, and building regional partner strategies and business plans. Recruit and enable partners, maintain SFDC forecasts, run partner reviews, and align with sales and corporate BD to execute GTM plays.

Design, build, and deliver scalable enterprise AI inference services and model registry capabilities. Enable generative AI applications using foundation models, RAG, and vector databases; collaborate with frontend, data scientists, product, and UX teams to drive production-ready AI platform features on Kubernetes-based microservices.