Top Tech Jobs & Startup Jobs

Own global strategic accounts and lead complex, multi-country sales cycles. Develop account strategies, penetrate new business lines, engage C-suite stakeholders, build TCO and ROI business cases, negotiate large technology transactions, maintain pipeline and forecast accuracy, and drive adoption of innovative data platform solutions across enterprise customers.

Leads SAP supply chain analytics and digital transformation by architecting enterprise data models, modernizing cloud data pipelines, and delivering BI products, dashboards, scorecards, and KPIs. Integrates SAP S/4HANA, Ariba, and IBP with platforms such as Datasphere, Databricks, and Snowflake. Translates stakeholder needs into technical roadmaps, aligns cross-functional teams, and resolves complex SAP integration and reporting challenges across planning, procurement, inventory, warehousing, and logistics.

Lead enterprise AI architecture and governance, enabling secure low-code/no-code AI adoption, building guidelines and checklists, advising business functions on SaaS/ERP AI features, and operationalizing risk-based deployment for copilots and agents.

Develops technical content, interactive demonstrations, reference architectures, and enablement tools that showcase AI infrastructure and data platforms. Partners with product, marketing, engineering, sales, and partners to translate complex AI/ML architectures, RAG workflows, storage, and networking technologies into compelling technical narratives. Presents at conferences and executive briefings, leads hands-on technical showcases, supports enterprise deals, and channels customer feedback into product and developer-experience improvements.

Lead end-to-end product ownership for data management and reporting products: customer discovery, requirements, prioritization, and post-launch iteration. Collaborate with engineering, design, GTM, and customers to build in-product reports and exports for third-party BI/datalake tools, drive roadmap planning, and represent product in technical and customer-facing meetings.

Leads architecture, roadmap, design reviews, validation, bring-up, diagnostics, and failure analysis for enterprise and cloud-scale storage hardware. Establishes server, rack-scale power and thermal strategies, validation frameworks, automated testing, and reliability standards. Coordinates hardware, firmware, software, executive, and OEM/ODM/JDM teams while mentoring engineers and driving complex system-level issue resolution.

Build and scale an enterprise Retrieval-Augmented Generation platform using Go and Python. Develop full-stack features, backend microservices, frontend interfaces, and AI/ML integrations in partnership with NVIDIA engineering teams. Own features from concept through production, while improving system performance, testing, security, availability, and reliability. Apply hands-on expertise in RAG, LLM pipelines, and AI-driven data retrieval architectures to deliver low-latency enterprise capabilities.

Lead the strategy, team, platforms, and processes supporting PCBA- and system-level manufacturing testing. Build scalable test frameworks, validation automation, infrastructure, testbooks, equipment configurations, CI/CD validation, release governance, and test software verification. Establish reliable manufacturing test data foundations, APIs, databases, observability, and operational dashboards while partnering with engineering, manufacturing, quality, and contract manufacturers to improve throughput and product quality.

Leads global manufacturing engineering for server and storage products across PCBA and system-level manufacturing. Responsibilities include process strategy and validation, NPI ownership, DFM, PFMEA, automation, mistake-proofing, continuous improvement, technology roadmaps, quality and yield improvement, and team development. Partners with design engineering, quality, operations, and contract manufacturers to establish scalable, cost-effective, high-throughput production systems.

Own product cost optimization and gross margin accuracy for hardware solutions. The role manages standard costing, PPV and inventory revaluation forecasting, product profitability across NPI and EOL transitions, target-cost analysis, and obsolescence mitigation. It partners with supply chain, engineering, procurement, commodity management, materials teams, and contract manufacturers. The manager also develops forecasting models, financial controls, process documentation, data governance, and executive-ready reporting.