Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Architect and scale the backend backbone of our go-to-market engine as a Salesforce Developer. In this role, you will partner directly with Sales, Marketing, Channel, and Customer Operations teams to transform complex business requirements into high-impact, scalable technical solutions across Sales Cloud, Service Cloud, and Partner Communities. You will drive operational efficiency by designing seamless integrations and custom applications that empower internal teams to close deals faster and deliver superior customer experiences. WHAT YOU'LL DO Drive Platform Architecture & Custom Development: Design, build, and deploy high-performance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flows to streamline core business workflows and eliminate operational bottlenecks for enterprise stakeholders. Integrate & Scale Ecosystem Connectivity: Connect third-party AppExchange applications and external enterprise platforms via REST/SOAP APIs and OAuth, ensuring seamless data flow, data integrity, and system security across our global tech stack. Optimize Bottlenecks & Operational Performance: Proactively audit, debug, and refine existing codebase and business logic to resolve data inconsistencies and enhance platform speed, reliability, and user productivity across Revenue Operations. Lead Release & Deployment Lifecycle: Own the end-to-end change management and deployment pipeline, adherin
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Role overview
Job description
NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and platforms. This position offers the opportunity to shape how these solutions operate after launch and help ensure they remain reliable, secure, well governed, widely adopted, and continuously improved. You will collaborate with Sales, Product, Engineering, Data, Security, and IT teams to strengthen platform health, improve the user experience, and increase business impact.
What you’ll be doing:
Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning.
Develop effective processes for incident response, problem management, changes, and issue resolution. Coordinate timely recovery and lasting improvements.
Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps.
Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs.
Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements.
Establish governance practices for security, access controls, compliance, documentation, and platform support.
Develop automation, observability, and self-service capabilities that simplify operations and reduce repetitive work and recurring incidents.
Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement.
What we need to see:
8+ years of experience in technical operations, platform engineering, site reliability engineering, application operations, technical program management, or a related discipline.
Experience owning production enterprise applications or platforms, including business-critical or customer-facing systems.
Strong understanding of cloud-native architectures, APIs, distributed systems, data pipelines, integrations, and enterprise software environments.
Experience applying reliability engineering practices, including service-level indicators and objectives, observability, incident and problem management, root-cause analysis, and service continuity.
Experience establishing operational governance for security, access controls, releases, compliance, documentation, and audit readiness.
Ability to use operational metrics, adoption data, and business outcomes—including Sales productivity, usage, and pipeline impact—to set priorities and communicate platform health to leadership.
Excellent communication skills and the ability to build alignment across Engineering, Product, Sales, and other partner teams.
A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience.
Ways to stand out from the crowd:
Background with operating generative AI enterprise applications, including AI assistants, retrieval-augmented generation systems, agentic workflows, or Sales productivity tools.
Experience supporting responsible AI controls, data privacy, access policies, auditability, and the safe use of AI in business functions.
Experience improving platform economics through cloud or AI cost visibility, usage optimization, capacity planning, or vendor and tool rationalization.
Experience helping AI or enterprise platforms progress from launch to scaled adoption through effective operating models, self-service capabilities, and sustained reliability improvements.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative, eager to tackle meaningful business problems, and enjoy having fun, NVIDIA is the perfect company to work for.
What they are looking for
Skills & requirements
Qualification
What we need to see: 8+ years of experience in technical operations, platform engineering, site reliability engineering, application operations, technical program management, or a related discipline; A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience
Hiring company
Nvidia
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