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VP of Engineering
·Israel
Not specifiedFull-timeEngineering ManagementAgTechFinTech
Lead a hands-on engineering team building an AI-driven operations platform that combines rules, structured data, and automation to coordinate real-world operations in agribusiness.
Responsibilities
- Own technical architecture, engineering roadmap, and platform delivery.
- Build reliable AI-driven workflows combining rules, data, automation, and human decisions.
- Design modular, testable systems for operational planning, execution, and replanning.
- Ensure automated decisions are explainable, auditable, and grounded in approved data.
- Define clear integrations and data ownership across internal and third-party systems.
- Establish strong engineering practices for testing, deployment, observability, security, and reliability.
- Lead and develop the engineering team while remaining technically hands-on.
- Recruit and build the broader R&D organization as the company scales.
- Collaborate with Product and Operations to translate real-world processes into practical software.
Requirements
- Experience as VP R&D, Head of Engineering, Engineering Director, technical founder, or similar senior technical leader.
- Strong hands-on background in backend engineering and software architecture.
- Experience building AI-driven operational systems, intelligent automation, agentic workflows, or decision-support platforms.
- Experience combining AI/LLM reasoning with deterministic logic, rules engines, or structured workflows.
- Experience with distributed systems, APIs, data architecture, and cloud infrastructure.
- Experience building systems where reliability, approvals, traceability, and auditability are important.
- Demonstrated ability to lead a small engineering team and deliver complex products in a startup.
- Strong communication skills and ability to work closely with non-technical domain experts.
Nice to have
- Operations research, optimisation, or workflow orchestration.
- Logistics, supply chain, industrial automation, fintech operations, or workforce management.
- AI evaluation, monitoring, and observability.
- Products designed for low-connectivity or emerging-market environments.
- Agriculture or ERP systems (helpful but not required).
Benefits
- Central role in building digital infrastructure from the ground up.
- Direct impact on business outcomes without bureaucracy.
- Work at the intersection of agribusiness and enterprise technology.
- Competitive compensation aligned with market rates.
- Flexible working arrangement.