R&D Director
Indexed description
This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions.
The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment.
They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.
Responsibilities:
- Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
- Define and execute the engineering strategy in alignment with business and product objectives.
- Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
- Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
- Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
- Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
- Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
- Stay ahead of emerging technologies and industry trends to ensure continuous innovation.
- 10+ years of software engineering experience, including significant leadership of large engineering organizations.
- Proven experience managing global engineering teams through engineering managers.
- Strong background in enterprise SaaS and modern cloud technologies.
- Demonstrated success driving AI adoption and modern engineering practices.
- Exceptional leadership, communication, and stakeholder management skills.
- Experience building and developing high-performing engineering organizations.
- Bachelor’s degree in computer science, Engineering, or a related field; advanced degree is an advantage.
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