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Head of Forward Deployed Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Forward Deployed Engineering (AI): Leading a 10+ person FDE team that turns an AI platform into live production systems for large enterprises with an accent on delivery outcomes, production stability, and enterprise stakeholder management. Focus on defining and enforcing the FDE quality bar, improving deployment operations, growing the team, and reviewing LLM-based solution designs.
Location: Tel Aviv, Israel; on-site client work is required, especially around go-lives.
Company
builds a production-grade AI platform that autonomously handles mission-critical enterprise workflows and delivers predictive operational experiences.
What you will do
- Lead a growing team of 10+ Forward Deployed Engineers and own delivery outcomes across enterprise clients.
- Manage delivery metrics, quality signals, escalation rates, production stability, and client feedback.
- Define the FDE performance bar, run 30-60-90 day onboarding ramps, coach team members, and conduct evaluations.
- Own flow reviews, deployment status cadences, and on-site schedules across clients.
- Manage hiring from sourcing through practical interviews and onboarding to independent delivery.
- Participate directly in solution reviews, key client engagements, and go-lives.
Requirements
- 3+ years of experience managing a technical delivery team of 5-15 people in solutions engineering, professional services, implementation, or a similar function.
- Technical depth sufficient to review solution designs, challenge integration approaches, and assess LLM-based systems.
- Experience defining quality standards, measuring performance, and making difficult performance decisions.
- Comfort working with enterprise stakeholders in steering committees and go-live war rooms.
- Clear thinking and strong writing skills.
- Fluent Hebrew and strong English are required.
Culture & Benefits
- Direct leadership scope over a 10+ person team and major enterprise clients.
- Opportunity to build the delivery playbook and operating system from the ground up.
- Direct collaboration with R&D and the AI platform.
- High-trust environment with a strong expectation of excellence.
- Success is measured by delivery outcomes rather than activity.
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