Top Tech Jobs & Startup Jobs

Leads enterprise vulnerability and attack surface management programs, including vulnerability analysis, risk-based prioritization, remediation governance, executive reporting, zero-day response, and exposure reduction. Partners with cybersecurity, infrastructure, cloud, engineering, threat intelligence, incident response, and architecture teams. Develops dashboards, automation, integrations, and continuous improvement initiatives across on-premises and cloud environments. Provides strategic remediation guidance, mentors junior analysts, and applies CVSS, EPSS, MITRE ATT&CK, threat modeling, and cyber risk frameworks.

Owns the quality, governance, discoverability, and effectiveness of ServiceNow knowledge assets across enterprise functions. Partners with platform, service, and business stakeholders to improve AI search, self-service, content quality, reporting, workflows, and integrations. Develops governance standards, taxonomies, lifecycle processes, dashboards, and performance metrics while coaching teams on knowledge management and KCS practices. Supports adoption, training, and continuous improvement of employee knowledge experiences.

Leads enterprise ServiceNow demand management, including intake, prioritization, backlog governance, roadmap alignment, stakeholder communication, reporting, risk and dependency management, and process improvement. The role evaluates business needs, develops solution recommendations, facilitates cross-functional decisions, and supports portfolio planning and technology platform adoption. Success requires influencing stakeholders without direct authority and aligning demand with organizational value, capacity, and strategic priorities.

Leads a team securing and operating AI services and platforms. Responsibilities include designing resilient AI security solutions, assessing risks, automating controls, supporting incident response, developing security strategies and standards, documenting system impacts, and creating incident response playbooks. The role requires expertise in LLM, generative AI, and agentic AI security, AI platform components, cloud automation, container architectures, and cloud security technologies.

Maintain, configure, develop, test, deploy and support SuccessFactors and other talent management and learning applications. Provide business consultation, respond to support requests, manage incidents, communicate with stakeholders, and work with vendors to deliver application improvements and implementations.

Builds, configures, develops, tests, deploys and supports SuccessFactors Talent Acquisition & Onboarding and other talent management/learning applications. Provides business consultation, incident/request management, stakeholder and vendor management, and leads prioritization of complex support requests to ensure timely implementations and stable operations.

Designs, configures, integrates, tests, deploys and supports SuccessFactors Talent Acquisition and Onboarding applications. Provides business consultation, incident/request prioritization, stakeholder and vendor management, and ensures stable implementations and updates across talent acquisition and onboarding systems.

Lead design, configuration, development, testing, deployment, and support of enterprise applications. Gather requirements, manage stakeholders and vendors, perform end-to-end testing, and drive product enhancements and application configuration improvements.

Lead design, development, and deployment of AI/ML models (forecasting, optimization, RL, generative AI) for pricing and promotion. Extract and integrate complex data, monitor model performance, establish AI engineering patterns, document code, and communicate results to technical and non-technical stakeholders to operationalize models across the supply chain.

Technical lead for UKG Pro WFM responsible for technical direction, architecture, development, deployment, and support. Owns UKG Pro WFM configuration across Timekeeping, Accruals, Attendance, and Scheduling, leads integrations (e.g., Boomi), manages technical risk, mentors engineers, and ensures CI/CD and code-quality practices across the product lifecycle.