Engineering Manager

• Lead, mentor, and grow a geographically distributed team of software engineers and technical leaders, fostering a culture of technical excellence, innovation, ownership, and collaboration.
• Define and execute the technical strategy and roadmap for the KV Cache Platform, ensuring scalability, reliability, security, and operational excellence.
• Drive the architecture, development, and delivery of distributed systems supporting AI inference, GPU memory optimization, distributed caching, RDMA networking, GPUDirect Storage, NVIDIA BlueField DPUs, and emerging AI infrastructure technologies.
• Partner closely with Product Management, Sales, Customer Engineering, NVIDIA, and strategic technology partners to prioritize customer requirements, drive proof-of-concepts (POCs), influence product direction, and successfully deliver customer deployments.
• Own day-to-day engineering execution, including feature development, release planning, bug triage, production issues, customer escalations, and cross-functional execution to ensure timely, high-quality software delivery.
• Establish engineering best practices for software quality, observability, automation, performance, testing, and production readiness.
• Collaborate across engineering, infrastructure, and hardware teams to deliver scalable, production-ready AI infrastructure while developing future engineering leaders and driving continuous improvement.

Senior Software Engineering Manager – KV Cache Platform

Sales Operations Manager

• The Sales Enablement Manager owns enablement execution for a defined segment of DDN’s Account Executive organization.
• This role serves as the primary enablement partner for the segment, working closely with sales leaders, frontline managers, and cross-functional teams to turn business priorities into practical field execution.
• You will help Account Executives execute with greater clarity, consistency, and confidence.
• That means building trusted relationships with the field, understanding what sellers and managers need, and translating sales priorities into enablement that is practical, timely, and built for how the field actually works.
• You will partner with Enablement leadership to connect your segment’s needs to the broader enablement strategy, while owning the execution and reinforcement required to make that strategy land
• Build and manage trusted relationships with sales leaders, frontline managers, and Account Executives in your segment.
• Design and deliver enablement programs, workshops, and reinforcement plans aligned to your segment’s sales motion, buyer journey, and competency needs.
• Participate in pipeline and deal reviews as needed to stay close to what is happening in the field.
• Own launch readiness for your segment, translating product updates, new messaging, and sales plays into field-ready training, tools, and communications.
• Stay close to the field and bring back what you learn: what is working, where sellers are stuck, and what the business needs to know.
• Use Salesforce and enablement platform data to track adoption, identify gaps, and make the case for where to focus next.

Sales Enablement Manager

Full-stack Engineer

• Provide deep technical leadership across LustreFS subsystems including llite, MDS/MDT, OSS/OST, LDLM, recovery and LNet.
• Own complex root-cause analysis for difficult customer, scale and production issues across kernel, filesystem, network and transport layers.
• Lead design and implementation of new features, reliability improvements, scale enhancements and performance optimizations in LustreFS.
• Drive architectural reviews for kernel-space and user-space changes with strong attention to correctness, backward compatibility and operability.
• Define debugging and observability strategies for complex distributed failure scenarios including failover, recovery storms, lock contention and transport degradation.
• Partner with principal engineers, support, QE, DevOps and release teams to improve product quality, test depth and release confidence.
• Mentor senior and mid-level engineers; create structured learning paths, review standards and subsystem ownership models to build redundancy.
• Promote use of AI-assisted workflows for issue triage, log analysis, code review assistance, knowledge capture and design acceleration with appropriate engineering guardrails.

Senior Staff Engineer, Lustre

Data Engineer

• Develop machine learning and AI solutions to solve business and operational challenges
• Design, build, validate, and deploy models for forecasting, anomaly detection, customer analytics, capacity planning, and product intelligence
• Apply statistical analysis and experimentation techniques to generate actionable insights
• Develop dashboards, visualizations, and executive-level reporting to communicate findings and recommendations
• Monitor model performance and support continuous improvement initiatives
• Partner with business stakeholders to define key metrics, KPIs, and success measures across products and operations
• Design scalable enterprise data architectures supporting structured, semi-structured, and unstructured data workloads
• Define data models, metadata standards, governance frameworks, and architectural best practices
• Architect modern data platforms leveraging cloud, hybrid-cloud, lakehouse, and distributed data technologies
• Establish data integration strategies across CRM, ERP, product usage, support, operational, and business systems
• Build scalable ETL/ELT pipelines and data services that support analytics and AI workloads
• Drive adoption of data quality, lineage, security, privacy, and compliance standards
• Partner with product, engineering, and business leaders to identify high-value AI and analytics opportunities
• Build reusable data products, semantic layers, and self-service analytics capabilities
• Support AI initiatives involving LLMs, RAG architectures, vector databases, and enterprise knowledge systems
• Collaborate with software engineering teams to operationalize analytics and AI capabilities in production environments
• Contribute to the development of intelligent platform features that improve customer experience and operational efficiency
• Serve as a trusted advisor on data strategy, architecture, and analytics best practices
• Lead technical design reviews and architecture discussions
• Mentor data scientists, data engineers, and analysts
• Partner with stakeholders across Product, Engineering, Operations, Customer Success, Finance, and Executive Leadership
• Communicate technical concepts and recommendations to both technical and non-technical audiences.

Data Scientist, Data Architect

• Design, develop and debug LustreFS features, fixes and enhancements
• Investigate customer and scale-related defects, drive root-cause analysis and implement fixes
• Contribute to performance tuning, failure analysis and reliability improvements
• Participate in code reviews, design reviews and subsystem discussions
• Work closely with QE and support to reproduce issues

Staff Engineer, Lustre

• Design detailed test strategies and validation plans for networking and security features for distributed system.
• Create scalable, automated test suites that validate multi-tenant behavior, concurrency, data consistency, and system-level performance.
• Build and maintain robust automation using tools such as Pytest and container-based environments leveraging Docker, Jenkins, Kubernetes.
• Construct and execute performance tests covering I/O throughput, system latency, NVMe access patterns, concurrency limits, and long-running workload stability.
• Work closely with architects, developers, release engineering, DevOps, and customer engineering to drive quality-first design decisions.
• Produce clear, detailed test plans, automation guides, design-review feedback, and quality metrics reports.

Staff Engineer – Test

Sales Engineer

• Partner with customers to understand their critical data challenges
• Translate technical requirements into elegant, scalable storage solutions
• Act as trusted technical advisor throughout the sales cycle
• Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
• Design for reliability, resilience, security, and scale
• Create BOMs, system architectures, and technical proposals for complex RFPs
• Conduct live demos, POCs, and performance benchmarking
• Collaborate with Product and Engineering teams using field insights

Advisory Sales Engineer – Strategic AI

Solutions Engineer

• Serve as a trusted advisor to customers by understanding their AI, data, and infrastructure challenges and recommending tailored solutions.
• Design scalable AI and data architectures that support long-term growth, performance, and operational efficiency.
• Partner closely with Sales, Engineering, Product, and Marketing teams to support customer engagements and influence strategy.
• Lead technical presentations, demos, proof-of-concepts, and customer workshops throughout the sales cycle.
• Support partner and alliance relationships across cloud providers, OEMs, integrators, and hyperscalers.

Principal Solutions Architect – FSI

Engineer

• Contribute to Lustre architecture and lead implementation of new features across core subsystems including MDS/OSS, LDLM, DNE, DoM, FLD, layout, snapshot, quota, security, and recovery
• Write high-performance, production-grade code across the Lustre kernel module, user-space utilities, and supporting libraries
• Own the full development lifecycle for major features, from design and coding through testing, performance tuning, and upstream patch submission
• Improve scalability for multi-petabyte Lustre environments, including metadata performance, I/O path optimization, and integration with modern interconnects and storage fabrics
• Modernize Lustre internals through kernel API updates, locking improvements, RDMA enhancements, and cloud/container-oriented capabilities
• Prototype and evaluate emerging technologies such as NVMe-oF, CXL, and other next-generation storage approaches for potential Lustre integration
• Strengthen regression, stress, and performance validation using tools such as IOR, mdtest, fio, and custom Lustre test tooling
• Perform deep code-level performance analysis using Lustre tracing tools, perf, lockstat, and kernel profilers
• Work closely with Principal Engineers, hardware teams, and application owners to translate real workload needs into practical Lustre improvements
• Mentor other developers and contribute design docs, technical guides, and engineering reviews

Senior Lustre Engineer

Technical Program Manager

• Lead cross-functional programs across product management, engineering, and supporting teams
• Drive end-to-end customer POC program management within the ensuring alignment with product management, engineering, support, and account teams
• Build and manage integrated schedules, working backwards from product launch and delivery targets
• Drive accountability across teams, ensuring commitments, dependencies, and deliverables are met
• Identify risks, technical dependencies, and resource constraints early and drive mitigation plans
• Ensure alignment on priorities, scope, and tradeoffs across product and engineering leadership
• Provide clear, concise program status through dashboards and executive-level summaries
• Continuously improve program management processes, tooling, and operational rigor

Senior Technical Program Manager

Product Operations

• Own and orchestrate the annual and quarterly strategic planning cycle for the Product and R&D organization, including goal-setting (OKRs/MBOs), investment prioritization, and portfolio review.
• Partner with CPO, VP Product, VP Engineering, and Finance to develop multi-year product investment strategies and resource allocation frameworks.
• Translate business strategy into actionable operating plans; maintain a live view of strategic commitments, resource coverage, and trade-offs.
• Identify, scope, and personally drive high-priority cross-functional initiatives that cut across Product, Engineering, Finance, Sales, and Customer Success.
• Enhance product operations function: product launch readiness, go-to-market coordination, release management, and feedback loop integration.
• Communicate program status, strategic progress, and operational health clearly to C-level executives and board stakeholders.

Senior Manager, Product Operations

Operations

• Drive weekly forecast management processes across the Americas business
• Partner with sales leadership to improve forecast accuracy, pipeline hygiene, and deal inspection
• Analyze pipeline health, coverage, conversion, and risk trends
• Ensure Salesforce data quality, stage hygiene, and operational consistency
• Develop dashboards, KPIs, and reporting frameworks that drive actionable decisions
• Support territory planning, account segmentation, and account ownership governance
• Partner with leadership on strategic account prioritization and pipeline generation initiatives

Senior Manager, Sales Operations

Salesforce Developer

• Design and build Service Cloud functionality: case management, case routing and assignment, queues, omni-channel, escalation rules, milestones, entitlement processes, SLA enforcement, and service console experiences for support engineers.
• Implement and maintain complex asset and entitlement management — multi-level asset hierarchies, asset-based entitlements, warranty / contract linkage, and asset-to-case association used by support engineers every day.
• Own Email-to-Case (and Web-to-Case where applicable): configure routing addresses, parsing rules, threading, attachments, on-behalf-of handling, and bounce management.
• Build and maintain Experience Cloud / Partner Portal sites — page design (LWR or Aura templates), navigation, sharing and visibility, audience targeting, knowledge surfacing, case submission, asset visibility, and self-service flows.
• Build core Salesforce customizations using Apex (triggers, batch, queueable, async), Lightning Web Components, Aura, and Salesforce Flows.
• Design and implement integrations between Salesforce and the post-sale ecosystem — telemetry / monitoring platforms, RMA / logistics systems, parts and inventory, knowledge bases, chat / voice platforms, and field service tooling — using REST/SOAP APIs, OAuth, named credentials, Platform Events, Change Data Capture, and Bulk/Streaming APIs.
• Collaborate closely with our dedicated integration / middleware team (who own MuleSoft, Boomi, and Workato) to co-design contracts, troubleshoot cross-system flows, and ship end-to-end solutions together.
• Partner directly with support engineers, services managers, and partner-success leaders to gather requirements and ship iteratively.
• Own production support for the post-sale Salesforce stack: triage, root-cause analysis, hotfix, and long-term remediation.
• Manage your own deployments using SFDX, Git-based source control, and CI/CD pipelines (Copado, Gearset, Flosum, or similar).
• Use AI tools (e.g., Agentforce Vibes / vibe coding, Copilot, Claude) as part of your day-to-day workflow — we expect every engineer on the team to lean on AI to ship faster and better.

Senior Salesforce Developer – Post Sale

• Design, build, and maintain Salesforce CPQ solutions including product catalogs, complex bundles (multi-level configurable products), pricing models (list, block, percent-of-total, contracted pricing), discount schedules, product rules, price rules, quote templates, and approval workflows.
• Translate business requirements directly into working solutions — acting as your own BA, developer, and QA throughout the lifecycle, and partnering with Sales Ops, Finance, Order Management, and Provisioning teams.
• Build and maintain core Salesforce customizations using Apex (triggers, batch, queueable, future, async), Lightning Web Components (LWC), Aura, Visualforce (legacy), and Salesforce Flows.
• Design and implement inbound and outbound integrations between Salesforce and ERP, billing, finance, provisioning, and other enterprise systems using REST/SOAP APIs, OAuth, named credentials, Platform Events, Change Data Capture, and Bulk/Streaming APIs.
• Collaborate closely with our dedicated integration/middleware team (who own MuleSoft, Boomi, and Workato) to design contracts, troubleshoot integration flows, and ship end-to-end solutions together.
• Own the renewals, amendments, co-terming, and contract lifecycle flows within CPQ.
• Manage your own deployments using SFDX, Git-based source control, and CI/CD pipelines (Copado, Gearset, Flosum, or similar).
• Own production support for the CPQ stack — investigate quote calculation issues, pricing edge cases, and integration failures, and drive long-term remediation.
• Write unit tests, perform peer code reviews, and uphold engineering quality standards across the team.
• Use AI tools (e.g., Agentforce Vibes / vibe coding, Copilot, Claude) as part of your day-to-day workflow — we expect every engineer on the team to lean on AI to ship faster and better.

Senior Software Engineering Manager – KV Cache Platform

Sales Enablement Manager

Senior Staff Engineer, Lustre

Data Scientist, Data Architect

Staff Engineer, Lustre

Staff Engineer – Test

Advisory Sales Engineer – Strategic AI

Principal Solutions Architect – FSI

Senior Lustre Engineer

Senior Technical Program Manager

Senior Technical Program Manager

Senior Manager, Product Operations

Senior Manager, Sales Operations

Senior Salesforce Developer – Post Sale

Senior Salesforce Developer – Quote to Cash