Top Tech Jobs & Startup Jobs in NYC, NY

Detect, contain, and remediate security incidents across Windows, Mac, and Linux. Perform malware and forensic analysis, develop detection and countermeasure processes, produce technical communications for customers, and contribute to public thought leadership and incident response improvements.

Manage CrowdStrike Racing Team partnerships end-to-end: partner and stakeholder coordination, asset distribution, on-site event and VIP hospitality delivery, content and comms alignment, logistics and vendor management, programme performance tracking, and cross-functional compliance and financial oversight across global race calendars.

Lead CrowdStrike's marketing transformation by operationalizing AI-enabled workflows, driving adoption and governance of agentic systems, defining role and skill evolution, shaping product roadmap, measuring impact, and managing change to embed new ways of working across marketing teams.

Lead federal cloud security and compliance efforts to achieve and sustain ATOs. Implement and automate FedRAMP/IL-5/RMF controls, manage continuous monitoring, coordinate 3PAO audits, drive cloud security architecture, oversee change control/SCRs, and lead incident response and POA&M remediation using AI-enabled automation and monitoring across high-security GovCloud environments.

The Next-Gen SIEM Associate Consultant advises and assists customers in implementing and optimizing their SIEM solutions, ensuring effective deployment, performance tracking, and ongoing operational support.

As a GenAI Engineering Intern, you will develop proof-of-concept GenAI solutions for internal workflows, collaborating with internal stakeholders and reporting to the AI Strategy manager on project progress.

The role involves assisting customers with cybersecurity initiatives, enhancing security programs, and delivering high-quality reports and presentations. Candidates need experience in IT security consulting and communication skills.

The role involves incident handling across various platforms, basic malware analysis, developing detection processes, and producing communications for customer management.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Design, build and maintain scalable data pipelines and automated workflows using Python, Airflow, DBT and cloud warehouses. Partner with Analytics, Sales and Marketing to deliver curated marketing datasets, enforce data quality through validation and CI/CD, and support production deployment and monitoring of Enterprise Data Lake/ODS solutions.