Top Tech Jobs & Startup Jobs

Lead and architect scalable Salesforce solutions across Sales Cloud and Revenue Cloud, own Lead-to-Cash processes, build integrations and automations, implement DevOps/CI-CD, enforce governance and security (GDPR/SOX), mentor engineers, and partner with GTM, Product, and Engineering to drive operational efficiency and revenue-focused outcomes.

The Senior Incident Manager leads incident response for AI infrastructure, coordinates cross-team collaboration, oversees incident resolution and post-incident reviews to enhance operational resilience.

Lead technology strategy for key accounts, cultivate executive relationships, influence technology adoption, and drive cloud transformation initiatives at enterprise scale.

The role involves architecting and managing Workday HCM and Payroll, leading integrations, ensuring compliance, and building reporting tools. It also requires team leadership and collaboration across finance and HR functions.

Lead end-to-end consolidation across all legal entities, including intercompany eliminations, multi-currency, minority interest, and topside entries. Own NetSuite OneWorld consolidation processes, SOX controls, close calendar, and automation efforts. Partner with Tax, Technical Accounting, Financial Systems, and auditors to prepare consolidated financial statements, support audits, and build IPO-ready consolidation infrastructure. Mentor accounting staff and drive continuous improvement as the company scales internationally.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Lead investor relations analysis and earnings preparation, translate investor sentiment and market dynamics into insights, partner with finance and capital teams, guide a junior analyst, and shape external communications and investor messaging for executive leadership.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Lead hands-on hardware NPI and integration for Lambda's HPC platform: bring up OEM and white-label AI/ML, compute, storage, and networking systems; debug and resolve hardware issues; drive cross-functional production readiness, vendor engagement, BOM review, and fleet reliability at scale.

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for provisioning, upgrades, and scaling. Own reliability, performance, and security of production workloads. Implement observability, logging, and alerting. Partner on cloud-native services and CI/CD; lead incident response and post-mortems; set platform standards and mentor engineers.