AI Engineering Team Manager
Remote • Kfar Saba • Full Time
Posted 1mo ago
About the job
Parallel Wireless is seeking an AI Engineering Team Manager to lead its AI team and drive its technical direction, roadmap, and execution. This role involves leading AI/ML initiatives from concept to production, defining success metrics, and ensuring AI solutions deliver measurable impact. The manager will also lead architecture and technical decisions for AI models, platforms, tools, and data, while building and growing a strong, multidisciplinary team through recruitment, mentoring, and career development. Establishing robust engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management is key, as is close collaboration with Product Management, Systems Engineering, and R&D teams across different geographies. The role also includes partnering with domain experts to identify AI opportunities for network improvement and supporting customer-facing discussions and trials.
Responsibilities
- Lead the AI team and own its technical direction, roadmap, and execution.
- Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
- Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
- Lead architecture and technical decision-making around AI models, platforms, tools, and data.
- Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management, and career development.
- Establish strong engineering practices around evaluation, scalability, reliability, monitoring, and model lifecycle management.
- Work closely with Product Management, Systems Engineering, and R&D teams across Israel, India, and the US.
- Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation, and operational efficiency.
- Support customer-facing discussions, trials, and PoCs where relevant.
Requirements
- 3+ years of experience leading engineering teams, with responsibility for people management, hiring, and delivery.
- 8+ years of experience in software, systems, or AI/ML engineering, with a strong technical background.
- Proven experience delivering ML or LLM-based solutions into production, with measurable impact and ownership from development through deployment.
- Strong understanding of modern AI technologies and architectures, including LLMs, RAG, AI agents, tool calling, evaluation methodologies, and MLOps/LLMOps.
- Hands-on familiarity with relevant technologies such as Python, PyTorch, vector databases, and modern AI development frameworks.
- Strong ability to evaluate AI opportunities, define technical approaches, and translate them into practical, scalable solutions.
- Experience building and developing high-performing technical teams.
- Experience working in a global, cross-functional R&D environment.
- Fluent English, written and spoken.