Cloudera

Artificial Intelligence

• Own end-to-end enterprise deals for Cloudera-supported OEM Mistral, from initial conversation through proof of concept, negotiation, close, and expansion
• Develop and manage pipeline, forecast accurately, and exceed quarterly and annual goals for new and expansion software subscriptions, renewals, and related services
• Introduce and grow designated enterprise accounts and strategic prospects aligned with company objectives and customer priorities in data, analytics, and AI
• Lead large, multi-threaded transactions while retaining commercial control and coordinating specialists
• Run strategic outbound and convert qualified inbound opportunities into broader, multi-year agreements
• Use warm introductions, installed-base relationships, and partner paths to reach data, AI, innovation, and C-suite leaders
• Develop account and opportunity plans mapping the Mistral offering to customer technology footprints, growth plans, and competitive landscapes
• Lead customers through structured, time-boxed proofs of concept with implementation and technical teams
• Convert successful proofs of concept into long-term contracts by connecting model performance, deployment model, governance, and support to customer operations on Cloudera
• Articulate how the OEM Mistral offering fits the Cloudera platform, including data under management, security, and hybrid operations
• Align customer engineering, product, commercial, and legal stakeholders at executive level
• Negotiate agreements end-to-end with legal and implementation support
• Build consensus across executive sponsors, influencers, and decision-makers, positioning the offering within strategic AI and data initiatives
• Provide field intelligence on use cases, objections, competitive moves, and deployment constraints to shape roadmap priorities and sales plays
• Introduce domain and technical specialists while retaining overall account responsibility and customer-success ownership

Applied AI Sales Executive

Full-stack Engineer

• Develop and support a highly scalable Catalog service built around the Apache Iceberg REST specification for Cloudera Data Platform across hybrid cloud environments
• Design and develop a Unified Catalog service serving as a single endpoint for segregated datasets
• Contribute to premier open-source projects and build tools defining industry interaction with large-scale unstructured data
• Work with Apache Iceberg, Spark, Impala, and Hive
• Support customer deployments and escalations
• Improve product stability
• Tackle complex distributed systems challenges and craft foundational software for CDP control and data planes
• Collaborate with product, data science, and engineering teams to drive innovation, standardize best practices, and shape enterprise AI and data platforms

Senior Software Engineer

• Design and implement the core feature set of Apache Ozone and Apache Ratis
• Contribute to HDFS development
• Build massively scalable distributed object storage for thousands of nodes and tens of billions of objects
• Solve deep systems-level engineering challenges
• Directly contribute to open-source Apache projects
• Help customer support solve critical escalations and develop a deep understanding of the Data Platform
• Represent Cloudera and Apache Ozone at technical conferences and meetup events

Software Engineer II – Cloudera Object Storage, Apache Ozone

Engineer

• Provision, tune, and maintain production-grade Neo4j graph database and pgvector vector storage clusters
• Engineer high-throughput index structures, cosine similarity vector indexes, and query optimizations for sub-second responses
• Build automated ingestion pipelines parsing Git repositories, ASTs, Jira issue links, Apache Avro schemas, and CI/CD metadata into an enterprise knowledge graph
• Connect distributed pipeline engines to hybrid retrievers combining SQL, Cypher graph traversals, and dense vector embeddings
• Configure circuit breakers, confidence scoring thresholds, and step-limit constraints for autonomous agents
• Integrate microservices and knowledge stores with the Enterprise AI Gateway
• Maintain version-controlled system prompt structures in localized .ai/ spoke directories while following DLP PII scrubbing rules and token rate limits
• Implement automated failover, backup restoration, and multi-cloud storage-tier cost controls across AWS and GCP
• Own the semantic, vector, and graph storage layer powering the context engine for enterprise AI utilities and the Internal Developer Portal
• Lead deployment of the SDLC Context Graph and GraphRAG Engine for CAB compliance, code/schema lineage tracking, and enterprise LLM proxy integrations

GraphRAG Engineer

Data Specialist

• Lead customer engagements by designing and presenting scalable, cloud-native lakehouse architectures and business outcomes
• Provide domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and customer adoption
• Focus on self-serve BI, open table formats, and AI-ready data analytics
• Troubleshoot complex issues involving query performance, concurrent workload management, and data federation
• Lead technical escalations and provide guidance on complex technical issues
• Drive internal and external technical enablement by exploring analytical engines and developing educational materials
• Share best practices around modern data warehousing
• Translate customer feedback and region-specific requirements into product and engineering insights
• Participate in community activities, speak at events, and contribute to knowledge sharing
• Collaborate with Sales, Product, and Engineering teams
• Travel to customer sites and Cloudera hubs approximately once per month

Senior Field Specialist – Data Lakehouse

Sales

• Build, lead, recruit, mentor, and develop a global team of technical enablement managers and instructional designers
• Own the global technical enablement budget, software vendor management, and external content partnerships
• Partner with VPs and SVPs of Worldwide Sales, Solution Engineering, and Product Management to diagnose skill gaps, align KPIs, and deploy enablement interventions
• Serve as the executive bridge to Product Engineering
• Transform roadmap features into Value-Based Technical Demo frameworks
• Design, govern, and scale role-based technical competency matrices
• Own the global certification strategy for technical validations and architectural designs
• Standardize and evolve the global First 90 Days technical onboarding journey
• Impact Time-to-First-Deal and Technical Proficiency Benchmarks
• Drive adoption of AI-driven coaching tools, automated advanced lab environments, and just-in-time enablement triggers tied to CRM data
• Report directly to the VP of Global Sales Enablement
• Act as strategic liaison among executive leadership in Product Engineering, Marketing, and Sales

Senior Director, Global Sales Technical Enablement

Security Engineer

• Proactively monitor and respond to security alerts and events from SIEM, Cloud Security Platforms, EDR, and other technologies
• Perform detection engineering by tuning existing alerts and developing new high-fidelity alerts based on trends, threat intelligence, and past investigations
• Conduct in-depth security incident analysis to determine root cause and impact, and recommend mitigation strategies
• Partner with Enterprise Security, Cloud Security, Product Security, and other internal teams on end-to-end incident response and cross-functional security improvement projects
• Develop and maintain incident response playbooks, processes, standards, procedures, and SOAR workflows
• Participate in threat hunting activities to identify advanced threats and vulnerabilities
• Identify, document, and research threat intelligence findings and reports
• Lead projects and strategic initiatives to improve company-wide security posture and resilience
• Provide mentorship and guidance to junior analysts and engineers
• Assist in evaluating and implementing security tools and technologies
• Stay current with emerging threats, vulnerabilities, and industry best practices
• Pursue forward-thinking and unique solutions to security challenges
• Work within a 24/7 operational capability and adapt to changing shift schedules

Senior Security Response Engineer

• Own the semantic, vector, and graph storage layer powering the core context engine for enterprise AI utilities and the Internal Developer Portal
• Provision, tune, and maintain production-grade Neo4j graph database and pgvector/PostgreSQL vector storage clusters across AWS and GCP
• Engineer high-throughput index structures, cosine similarity vector indexes, and query optimizations for sub-second responses
• Build automated ingestion pipelines parsing Git repositories, ASTs, Jira issue links, Apache Avro schemas, and CI/CD metadata into an enterprise knowledge graph
• Connect distributed pipeline engines to hybrid retrievers combining SQL, Cypher graph traversals, and dense vector embeddings
• Enable AI-driven developer workflows and autonomous coding agents
• Configure circuit breakers, confidence scoring thresholds, and step-limit constraints for cyclic agent safeguards and governance
• Integrate microservices and knowledge stores with the central Enterprise AI Gateway
• Maintain version-controlled system prompt structures in localized .ai/ spoke directories while following DLP PII scrubbing rules and token rate limits
• Implement automated failover, backup restoration, and multi-cloud storage tier cost controls across AWS and GCP
• Lead deployment of the SDLC Context Graph and GraphRAG Engine for CAB compliance, semantic code/schema lineage tracking, and enterprise LLM proxy integrations

Data Engineer

• Lead the Cloudera Hybrid Cloud product vision and execution for deploying CDP Base in public cloud environments
• Own the product strategy, roadmap, and release lifecycle for enterprise-grade CDP Base deployments across AWS, Azure, and GCP
• Lead the evolution of the VM-based Data Hub product
• Manage strategic product relationships and co-innovation efforts with AWS, Azure, and GCP
• Own product requirements for hybrid connectivity, networking, remote authorization, cross-environment security, and cloud object-store integrations
• Drive Open Datalake and data mobility capabilities between on-premises data centers and public cloud environments
• Direct and develop a team of Product Managers, including roadmap prioritization, PRDs, and release execution
• Partner with Product Marketing, Field Engineering, and Sales Enablement on launches, positioning, documentation, and customer enablement
• Represent the product with enterprise CIOs, CTOs, and Cloud Architects to validate roadmap priorities

Senior Manager – Product Management, Cloudera Data Platform

Accounts Receivable

• Take responsibility for reconciliation of customer accounts and provision of Statements of Account
• Review the AR subledger daily and issue payment reminders before invoice due dates and when invoices become overdue
• Contact customers via telephone and email to resolve billing questions, requests, or issues
• Work cross-functionally with Order Management, Sales Ops, and Sales to resolve open-invoice queries or issues
• Assist management with severely aged debt processes, including reviewing Tesorio notes and liaising with internal teams
• Generate invoices in NetSuite and submit them to customers through various means
• Review customer contracts and vendor agreements to align AR practices with negotiated terms
• Manage customer portal requirements and coordinate portal sign-up requests
• Review and approve new customer accounts in NetSuite
• Submit marketplace invoices and handle queries in various portals
• Complete royalty account reporting for major royalty accounts
• Support cash applications and liaise with Tax on WHT and Avalara tax-exempt certificates
• Follow credit-note approval, creation, and application policies; work with Treasury on agreed refunds
• Participate in the month-end close process
• Support audit tasks and ad-hoc tasks assigned by the Team Lead / Sr. Manager
• Perform all tasks according to Cloudera policies and guidelines

Accounts Receivable Specialist

• Build and grow Cloudera's Sovereign Cloud opportunity in EMEA
• Shape Sovereign Cloud provider and customer decisions to adopt Cloudera AI & Cloud technology
• Serve as a thought leader and trusted advisor to EMEA field sales teams
• Develop commercial relationships leading to Cloudera offering deployments and marketplace listings
• Deliver Cloudera offerings with key Sovereign Cloud providers and take them to market
• Lead cross-functional engagement across Legal, Sales Engineering, Engineering, Marketing, and other teams
• Drive sales motions across EMEA, including sales play execution, partner enablement, and pipeline generation
• Own and manage Sovereign Cloud pipeline, bookings, and regional forecast
• Drive sourced and influenced Sovereign Cloud pipeline across the region
• Deliver incremental revenue through Sovereign Cloud adoption and consumption
• Work with partners, customers, and internal teams to establish Cloudera as a key AI and data player in the EMEA Sovereign Cloud space

Applied AI Sales Executive

Senior Software Engineer

Software Engineer II – Cloudera Object Storage, Apache Ozone

GraphRAG Engineer

Senior Field Specialist – Data Lakehouse

Senior Director, Global Sales Technical Enablement

Senior Security Response Engineer

GraphRAG Engineer

Senior Manager – Product Management, Cloudera Data Platform

Accounts Receivable Specialist

Cloud Sales