Senior Manager, AI & Data Solutions Engineering (Cybersecurity)

Location: Petah Tikva, Israel; office-based, with most teams working full time from the office.

Company

hirify.global operates in the cybersecurity and enterprise software industry, developing security products powered by AI and data platforms.

What you will do

• Lead, scale, and mentor a multidisciplinary R&D organization of Data Engineers, MLOps Engineers, and Data/AI Architects.
• Own the end-to-end AI and data engineering lifecycle, including data ingestion and transformation, feature pipelines, model fine-tuning and hosting, ML CI/CD, inference serving, and observability.
• Define architectural strategies for generative AI, agentic frameworks, retrieval-augmented generation, and unified data lakehouses across cloud environments.
• Direct secure, automated, and cost-effective MLOps infrastructure covering evaluation, guardrails, deployment, monitoring, drift detection, and feedback loops.
• Align technical roadmaps with Product Management, Threat Research, Security Operations, and engineering leadership.
• Ensure security, data privacy, ethical AI, resilience against adversarial attacks, and compliance with enterprise data policies.

Requirements

• 5+ years of direct engineering management experience, including at least 2–3 years managing other managers or multi-team groups in complex R&D environments.
• Broad technical expertise in Generative AI, agentic architectures, LLMs, NLP, traditional ML, distributed data processing, streaming, and modern data lakehouse architectures.
• Experience designing and operating production-scale MLOps platforms, AI CI/CD, model registries, automated evaluation benchmarks, and low-latency inference serving.
• Strong architectural knowledge of AWS, GCP, or Azure, plus Kubernetes, Docker, and distributed compute or data technologies such as Spark, Kafka, Snowflake, Databricks, or Ray.
• Ability to balance long-term architecture investments with short-term business delivery, manage parallel workstreams, and use transparent governance and numerical KPIs.
• B.Sc. or M.Sc. in Computer Science, Software Engineering, Data Science, or an equivalent quantitative discipline.

Nice to have

• Direct experience in cybersecurity, threat intelligence, or AI-powered automated security operations.
• Practical knowledge of LangChain, LlamaIndex, Model Context Protocol, vector databases, and fine-tuning techniques.
• Familiarity with AWS Bedrock or SageMaker, GCP Vertex AI, or Azure OpenAI Service.
• Open-source contributions, technical publications, speaking engagements, or other active participation in the AI engineering or research community.

Culture & Benefits

• Work in a cybersecurity organization focused on innovation, collaboration, execution, integrity, and inclusion.
• Most teams work full time from the office, with flexibility when needed to support collaboration and problem-solving.
• Reasonable accommodations are available for qualified individuals with disabilities or special needs.
• The role is not eligible for immigration sponsorship or work visa sponsorship.