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Chief Technology Officer at aiOla — Hybrid, Israel
Lead aiOla’s voice AI, agent orchestration, and engineering teams while shaping reliable enterprise technology for Fortune 500 customers. Support strategic technical decisions, customer demonstrations, and complex enterprise sales engagements.
विवरण
- Define aiOla’s technology vision, architecture, strategy, and roadmap in line with business and product priorities.
- Lead and develop an R&D team of approximately 15 specialists across voice AI, agent orchestration, and Salesforce/CRM integration.
- Guide the technical direction of a platform designed to operate reliably amid movement, background noise, varied accents, and imperfect data.
- Design and scale the intelligent agent-orchestration architecture that powers specialized sales agents for field representatives.
- Maintain enterprise-grade performance, reliability, security, and scalability for Fortune 500 production customers.
- Work with the CEO, Product, Sales, and executive leadership to set priorities, assess trade-offs, and execute technology decisions.
- Act as the senior technology representative in customer discussions, including live product demonstrations.
- Explain complex technical topics clearly and address enterprise concerns related to accuracy, security, reliability, and integration depth.
- Establish engineering practices, architecture standards, development processes, and delivery-quality expectations across the organization.
- Foster an engineering culture centered on ownership, speed, quality, and practical execution in a startup or scale-up setting.
- Remain hands-on when necessary by reviewing code and architecture, challenging technical choices, and helping solve difficult engineering problems.
आवश्यकताएँ
- Demonstrated experience as a CTO, VP of R&D, Head of Engineering, or comparable senior technology leader.
- Experience leading and scaling engineering organizations of approximately 15 or more people.
- Deep technical expertise with the ability to engage directly in architecture and implementation decisions.
- Background addressing data-quality and imperfect-data challenges in production machine-learning systems.
- Experience developing or scaling multi-agent AI platforms and agent orchestration.
- A record of delivering highly reliable, enterprise-grade systems at scale for Fortune 500 or other enterprise customers.
- Strong communication skills and experience in customer-facing technical work, including demonstrations, proof-of-concepts, and technical sales support.
- Ability to collaborate closely and regularly with Sales, Product, and other business teams.
- Experience in a startup or scale-up environment, balancing long-term technology planning with hands-on delivery.
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