Cloudera

Full-stack Engineer

• Build and maintain large-scale replication systems on top of the Cloudera Data Platform stack
• Be responsible for our products running in production
• Work with a distributed team of engineers to design cloud-based, low RPO, RTO replication architectures
• Support replication across multiple Cloudera components like HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger
• Give and take actionable feedback
• Mentor junior engineers
• Work with product management and occasionally, with field engineers on the product roadmap and early access feature introductions

Staff Software Engineer – Replication Manager

Backend Engineer

• You will be directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation)
• You will regularly contribute code and design docs to the Apache open-source community.
• As part of storage engineering, you will support enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.
• You will partner with product managers and cross-functional teams as a part of the Cloudera Data Platform ecosystem in understanding requirements and turning them into a solid design and implementation, and facilitating integration and adoption.
• You will be responsible for leading and collaborating with a talented group of engineers working on a feature and mentoring junior engineers.

Staff Software Engineer, Storage – Java or C++

• Build robust and scalable data infrastructure software
• Design and create services and system architecture for your projects
• Improve code quality through writing unit tests, automation, and code reviews
• Write Java code and/or build several services in the Cloudera Data Warehouse
• Work closely with other developers providing services to our system
• Help to analyze and to understand how customers use the product and improve it where necessary.

Staff Software Engineer, Hive – Java

Sales

• Drive proactive sales opportunity generation, pipeline management and deal closure with partners
• Align with assigned sales teams to develop a regional partner strategy that will ensure Partner and Cloudera sales success
• Meet or exceed Cloud sales targets
• Deep understanding of partners business model and what motivates them to partner with Cloudera
• Ability to articulate partner success criteria internally
• Develop a regional partner map outlining current partner capabilities, capacity and gaps
• Build a regional partner business plan with quantified goals and milestones to achieve partner-influenced revenue metrics
• Align with Cloudera’s corporate Business Development team to execute strategic partner GTM plays and provide feedback into partner programs
• Maintain and report an accurate partner sales forecast in SFDC with 4X pipeline coverage
• Manage regular business reviews between Cloudera and Cloud partners

Cloud Partner Sales Lead

Product Marketing

• Support positioning and messaging for Cloudera’s rapidly evolving Open Data Lakehouse capabilities articulating clear differentiation against competitors.
• Support go-to-market planning for Open Data Lakehouse features and launches, ensuring alignment across sales, marketing, and product management.
• Develop high-impact and innovative content (sales plays, solution briefs, competitive battlecards, analyst decks, thought leadership blogs) tailored to both technical and executive audiences.
• Enable the field and partners with training, tools, and messaging that drive confidence in Open Data Lakehouse sales conversations.
• Conduct competitive and market intelligence, synthesizing insights on our Open Data Lakehouse to guide strategy, and proactively identify competitive threats and market opportunities.
• Partner with product management, ensuring customer, analyst, and market feedback is reflected in roadmaps.
• Represent Cloudera externally in analyst briefings, industry events, webinars, and customer meetings as an Open Data Lakehouse subject matter expert and thought leader.
• Measure and optimize impact of Open Data Lakehouse-focused campaigns, launches, and enablement to ensure outcomes are tied to adoption and pipeline growth.

Product Marketing Manager – Data Lakehouse

Events

• Create comprehensive pre, during, and post-event expectations for marketing and sales that align with the company’s goals and objectives
• Oversee all aspects of event planning and execution, including budgeting, venue selection, logistics, catering, audio-visual requirements, and post-event evaluations
• Collaborate with cross-functional teams to align events with broader business objectives
• Source, negotiate with, and manage relationships with vendors, suppliers, and external partners
• Lead and inspire a team of event professionals, providing guidance, mentorship, and support
• Develop contingency plans for events and implement effective solutions to mitigate risks
• Conduct post-event evaluations, analyze feedback, and derive insights for continuous improvement

Senior Global Events & Sponsorship Manager

AI Engineer

• Define and drive the product vision, strategy, and roadmap for Cloudera’s Agentic AI Platform and solutions, aligning with Cloudera's Data & AI strategy and go-to-market initiatives
• Conduct in-depth market research, competitive analysis, and customer engagement to identify market opportunities, customer pain points, and emerging trends in AI, agentic AI, data processing, and data governance
• Translate complex customer needs and market opportunities into detailed product requirements, user stories, and acceptance criteria for engineering teams
• Collaborate closely with engineering, design, go-to-market and other cross-functional teams to ensure successful product development and delivery
• Lead the entire product lifecycle from concept to launch and post-launch optimization, ensuring high-quality, scalable, and secure product offerings
• Work with sales, marketing, and field enablement teams to develop compelling product positioning, messaging, and go-to-market strategies
• Champion product adoption and customer success through strong advocacy, thought leadership, and engagement with key customers and partners
• Monitor and analyze product performance metrics, identifying areas for improvement and driving continuous product enhancements
• Stay abreast of industry trends, technologies, and best practices in AI, agentic AI, machine learning, data management, and data governance

Principal Product Manager – Agentic AI Platform

Manager

• Engage closely with our sales teams (Account Managers and Solutions Engineers) to develop strong customer relationships and grow the Cloudera Professional Services business
• Support and Drive Go To Market and Pipeline Generation with Account Executives
• Develop Professional Services booking and revenues
• Define, scope and sell our professional services portfolio
• Prepare Statements of Work or Change Orders for review by Cloudera legal and deal desk
• Work with our Project Management Office (PMO) to provide oversight for the services engagement with our customers, acting as the primary point of escalation and ensuring that our Customers are experiencing high quality delivery
• Occasionally manage services engagements directly
• Input into the planning and forecasting of our resourcing profile
• Working directly with Customer to ensure alignment of Cloudera tasks/activities
• Work as a conduit between the Customer and other parts of Cloudera including Support and Engineering

Senior Engagement Manager

Technical Program Manager

• Coordinate and drive triage activities for product pillar initiatives, with the relevant product cross-functional teams.
• Work alongside Product Managers to enforce business case data is being completed by appropriate stakeholders and the requesting party.
• Drive end-2-end delivery and execution for each accepted initiative by managing timeline, dependencies, risks, and deliverables across multiple Engineering, Quality, UX, and Product Management teams.
• Regularly assess the critical path by reviewing and understanding product requirements, and subsequent engineering deliverables/activities, and remove unnecessary work.
• Regularly communicate the status of each pillar initiative to relevant stakeholders and internal teams to prevent communication silos.
• Immediately escalate to stakeholders and leadership when inputs are at risk of meeting committed deadlines, and work with the execution team to propose mitigation options.
• Manage end-to-end Engineering product releases through full-cycle program management, ensuring: Release timelines and milestones are aligned with the global release calendar (avoiding overlaps).
• Comprehensive release dashboards are maintained to capture the full backlog and accurately reflect development and quality status.
• All cross-functional teams follow established JIRA guidelines and maintain proper JIRA hygiene, ensuring accurate metadata for effective weekly reporting.
• Risks and cross-dependencies are proactively identified and managed.
• All security, legal, and compliance requirements related to each release are met and tracked through closure.