About the Role
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Engineering Team Lead
Platform
Tel Aviv
Description
Fetcherr is an AI-driven company at the forefront of deep learning, e-commerce, and large-scale market optimization. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time decision-making for complex markets. Initially transforming the airline industry, Fetcherr continues to expand its platform capabilities to power intelligent, data-driven products across industries.
We are looking for an experienced Engineering Team Lead to establish and lead a new team focused on building advanced data interaction and analytics capabilities for our clients. This role offers a unique opportunity to shape a highly impactful platform layer that enables intuitive, flexible, and scalable access to complex business data.
Responsibilities:
Lead and mentor a team of engineers building core platform capabilities
Design and develop end-to-end solutions for data access, interpretation, and presentation
Architect scalable services and APIs that support complex analytical workflows
Drive research and experimentation to improve system accuracy, performance, and usability
Collaborate closely with product, data, and engineering teams to align platform capabilities with business needs
Define and maintain engineering best practices including code quality, testing, and reproducibility
Take ownership of the team’s technical roadmap, architecture, and long-term strategy
Communicate technical concepts and design decisions to a wide range of stakeholders
Requirements
You’ll be a great fit if you have…
2+ years of experience leading and mentoring agile engineering teams
Strong engineering background with hands-on development experience in Python
Experience building and maintaining scalable, production-grade systems
Proven ability to design robust platform components and abstractions
A strong product mindset with attention to performance, usability, and reliability
Execution focus, clear and consistent routines, measurements and KPIs
Excellent communication skills and a collaborative leadership style
Nice to have
Experience with advanced data systems, analytics platforms, or intelligent decision-support tools
Experience building LLM applications
Familiarity with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
Experience designing developer-facing or client-facing interfaces
Degree in Computer Science or a related quantitative field
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