Currently tracking 27 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $160k–$370k (avg $264k).
| Title | Stage | AI score |
|---|---|---|
| Sr. Data Scientist, GenAI (Remote, ESP) CrowdStrike is seeking a Sr. Data Scientist to join their team building the next generation of AI assistants powered by large language models (LLMs). The role involves leading research strategy, driving innovation in LLM applications, and making strategic decisions about model architectures, training, and deployment. The position requires advanced degrees, 8+ years of experience in ML/research with leadership in production models, deep expertise in LLM training/deployment, and strong technical leadership. | AgentPost-train | 9 |
| Manager, Data Science (Remote, ESP) Manager, Data Science role focused on leading research strategy, technical vision, and team mentorship for next-generation AI assistants powered by LLMs in the cybersecurity space. The role involves driving innovation in LLM applications, making strategic decisions on model architectures, training, and deployment, and establishing best practices and evaluation frameworks. |
| AgentPost-train |
| 9 |
| Threat Analyst II, AI/ML Operations (Remote, ESP) This role focuses on analyzing adversary intrusions and creating/modifying security detections, with a secondary responsibility of addressing customer requests regarding the efficacy of machine learning detection models. It involves reviewing ML-based product detections, handling false positive/negative reports, and analyzing binary files. Experience with machine learning concepts is a plus. | — | 5 |
| Sr. Program Manager, Engineering - Supporting GDI & Onum (Hybrid, Madrid) CrowdStrike is seeking a Senior Program Manager to support the GDI and Onum groups within their NG-SIEM product. This role focuses on managing large-scale, complex engineering projects related to data ingestion and onboarding for cybersecurity customers. The program manager will drive scheduling, scoping, and end-to-end execution, collaborating with engineering leaders, product managers, and developers across global teams to ensure timely delivery and resolution of critical issues. Experience with Agile/Scrum methodologies and large-scale platforms is required. | — | 0 |