The Senior Developer Marketing Manager will define and orchestrate global developer marketing programs to drive engagement, adoption, and pipeline. They will act as a central architect, aligning developer initiatives with broader marketing strategies and cross-functional campaigns.
The Solutions Architect will design and implement scalable Big Data solutions using Cloudera technologies while working directly with customers to meet their technical requirements. This role involves performing platform installations, optimizing distributed production deployments, and providing expert technical guidance throughout the project lifecycle.
The Partner Sales Account Manager is responsible for building regional partner strategies, driving sales opportunity generation, and managing partner enablement to meet revenue targets. They will collaborate with internal sales teams to close deals and maintain accurate sales forecasts within the CRM system.
The Pricing Strategy Director will lead the commercial strategy, pricing, and packaging for AI Ecosystem Partner products. This role involves negotiating commercial terms with partners and designing operational frameworks for monetization and billing.
The Applied AI Specialist leads technical discovery workshops to identify and validate high-impact AI use cases for enterprise production. They collaborate with cross-functional teams and ecosystem partners to define technical requirements and ensure seamless handoff to engineering pods.
The Cloud FinOps Practitioner will monitor cloud and AI usage costs across AWS, Azure, and GCP while building dashboards to provide actionable insights to engineering teams. They will also automate routine FinOps tasks and support finance departments with budget tracking and forecasting.
Own enterprise sales cycles for Cloudera’s supported Mistral offering, from prospecting and proof of concept through negotiation, close, renewal, and expansion. Coordinate account executives, technical and implementation specialists, product, legal, and customer executives while positioning the offering within customers’ broader AI and data strategies.
Lead a multidisciplinary team of engineers to manage the availability, performance, and security of a large private-cloud environment. Oversee 24x7 production operations, major-incident response, and cross-functional infrastructure programs to ensure service reliability and scalability.
Consult with engineering teams to translate workload needs into cost-effective compute, storage, GPU, and networking configurations, and manage hardware standards, vendor engagement, procurement, deployment, and lifecycle operations. Administer enterprise storage, automate hardware management and provisioning, strengthen firmware-level security, troubleshoot complex issues, and document and improve infrastructure operations while mentoring junior team members.
Translate product research and development advances into Financial Services business outcomes, sales playbooks, and go-to-market strategies, while advising customers and supporting high-value sales opportunities. Build AI reference architectures, prototypes, and MVPs; collaborate across Sales, Product, Engineering, and Marketing; and represent Cloudera through industry thought leadership and customer engagement.
Lead value engagements for strategic enterprise deals, translating data and AI platform capabilities into quantified business outcomes and CFO-grade investment cases. Partner with sales, product, and technical teams to shape deal strategy, engage executives, develop value methodologies, and scale analysis using AI tools and automation.
You will build and prototype full-stack AI/ML applications while partnering with strategic customers to drive AI use cases from prototype to production. Additionally, you will shape enterprise AI architecture and codify successful solution patterns into repeatable reference architectures.
The Senior Solutions Engineer owns the technical sales process, from initial discovery to post-sales support, ensuring customers achieve successful outcomes with Cloudera technologies. They are responsible for designing tailored solutions, delivering compelling product demonstrations, and acting as a technical advisor to federal civilian agencies.
Lead the technical sales process from initial customer meetings through post-sales support, designing and demonstrating solutions using Cloudera technologies. Partner with account teams, advocate for customer needs, present product vision, and contribute to customer success, sales targets, and community engagement.
The Sales Executive will own end-to-end enterprise deals for Cloudera's OEM version of Mistral, managing the entire sales cycle from initial conversation to contract closure. They will coordinate with internal teams and partners to drive revenue growth while positioning AI solutions within the customer's existing data strategy.
The Partner Sales Manager is responsible for driving partner-influenced revenue by orchestrating partner engagement and managing sales opportunities within assigned regions. They will develop regional partner growth strategies, recruit key partners, and maintain accurate sales forecasts to meet software booking goals.
The Senior Account Executive will lead and grow a strategic Federal Civilian territory by managing complex sales cycles and developing comprehensive go-to-market plans. They will serve as a trusted advisor to senior federal leadership while orchestrating internal resources to deliver data, analytics, and AI solutions.
The Sr. Staff Platform Operations Engineer will architect, deploy, and support hybrid Linux infrastructure and core IT services while championing infrastructure-as-code and automation frameworks. They will also serve as a technical subject matter expert, collaborating with cross-functional teams to ensure high availability, security, and scalability of platform services.
The Senior Solutions Engineer will own the technical sales process, from initial meetings to post-sales support, for enterprise data and AI platform solutions. They will design customer-specific solutions, deliver product demonstrations, and advocate for customer needs to internal product and engineering teams.
The role involves acting as a strategic advisor to enterprise clients to architect and deliver AI ecosystem solutions centered on AI-native storage. You will lead cross-functional initiatives to design scalable agentic workflows while synthesizing market trends to drive long-term enterprise growth.
Lead customer engagements by designing scalable, cloud-native lakehouse architectures and providing deep domain expertise throughout the sales cycle. Act as a technical evangelist to influence product direction and drive success across BI and AI-ready analytics use cases.
You will architect, deploy, and support hybrid Linux infrastructure and core IT services while championing Infrastructure-as-Code and automation frameworks. Additionally, you will serve as a technical subject matter expert to ensure high availability, security, and scalability across the company's platform.
You will own the architectural execution and hands-on delivery of high-throughput, asynchronous event-streaming infrastructure and hybrid data pipelines. This involves managing multi-cloud environments using declarative code and ensuring robust schema governance and telemetry.
You will architect and maintain multi-cloud Kubernetes foundations and automated zero-trust security control planes. Additionally, you will implement Policy-as-Code pipelines and manage GitOps-based continuous delivery engines.
The Sales Account Manager will drive revenue and market share growth within assigned enterprise accounts by developing strategic business plans. They are responsible for building executive-level relationships, leading large-scale transactions, and ensuring overall customer success.
Lead customer engagements by designing and presenting scalable, cloud-native lakehouse architectures to technical and executive stakeholders. Provide deep domain expertise throughout the sales cycle while troubleshooting complex technical issues and influencing the product roadmap.
The Key Account Director will own account relationships, drive net new revenue, and ensure overall customer success within their territory. They are responsible for building executive-level relationships, leading large-scale transactions, and meeting quarterly and annual sales goals.
The Sales Account Manager will drive revenue growth and customer success within the financial services sector by developing strategic business plans and managing key account relationships. They are responsible for leading large-scale transactions, building sales pipelines, and coordinating internal teams to meet quarterly and annual business goals.
The Senior Field Specialist will lead customer engagements by designing data platform architectures and providing deep technical expertise throughout the sales cycle. They will also troubleshoot complex issues, drive technical enablement, and influence the product roadmap based on customer feedback.
The Account Executive will develop and execute strategic business plans to drive revenue growth within the SLED North East territory. They will act as a trusted advisor to key decision-makers, managing the full sales cycle and fostering relationships to drive adoption of Cloudera's data and analytics platform.
You will embed with strategic customers to prototype and operationalize full-stack AI applications while advising leaders on AI strategy. Additionally, you will codify successful solution patterns into repeatable architectures and mentor internal teams to scale AI impact.
The Forward Deployed AI Engineer will build and prototype full-stack AI applications while partnering with strategic customers to drive AI use cases from prototype to production. They will also shape enterprise AI strategy and codify successful solution patterns into repeatable reference architectures.
The Key Account Director is responsible for growing revenue and market share within designated enterprise accounts while ensuring customer success. This includes developing business plans, leading large-scale transactions, and building executive-level relationships.
Design and deploy AI-powered internal applications, copilots, and scalable workflow accelerators using Generative AI. Build reusable AI components and retrieval pipelines while maintaining statistical models to support organizational automation and optimization.
