Head of Engineering

Key Responsibilities:

Engineering Strategy and Leadership:

• Develop and execute the overall engineering strategy, aligning it with the company's business objectives.
• Lead and mentor engineering teams across software development, infrastructure, and product engineering.
• Foster a culture of innovation, continuous improvement, and collaboration within and across teams.

Technology Development and Architecture:

• Oversee the design, development, and delivery of scalable and robust software solutions.
• Ensure the architecture supports future growth, scalability, security, and performance.
• Work closely with product management to translate business needs into technical requirements and engineering plans.

Infrastructure and System Operations:

• Ensure high availability, performance, and reliability of all engineering systems and infrastructure.
• Drive improvements to CI/CD pipelines, automation, and development processes.
• Collaborate with DevOps and cloud engineering teams to manage cloud infrastructure, ensuring cost-efficiency and resilience.

Collaboration and Cross-Functional Leadership:

• Partner with research, product, and business teams to support product innovation and new feature development.
• Act as a bridge between technical and non-technical stakeholders, effectively communicating key concepts and project progress.
• Represent engineering in executive meetings and provide strategic input on company initiatives.

Innovation and Continuous Improvement:

• Stay ahead of emerging trends, technologies, and methodologies to keep the organization competitive.
• Introduce best practices and modern engineering processes to enhance team productivity and product quality.

Qualifications:

Technical Skills:

• Extensive experience in leading and scaling engineering teams in a fast-paced, innovative environment.
• Strong software development background, with expertise in modern languages and frameworks (e.g., Python, Java, Go, or similar).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and distributed systems.
• Experience with modern DevOps tools, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform, Kubernetes).
• Knowledge of software architecture, microservices, and system design best practices.
• Experience working with AI/ML systems and tools such as TensorFlow, PyTorch, or Hugging Face.
• Understanding of LLM lifecycle management, fine-tuning, and serving models in production.
• Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) architectures.
• Hands-on knowledge of data pipelines, model monitoring, and performance optimization techniques for AI applications.

Leadership and Communication:

• Proven track record of managing and mentoring engineering teams to achieve technical and business excellence.
• Strong decision-making and problem-solving skills, with a focus on delivering results.
• Excellent communication skills, with the ability to present complex ideas to stakeholders across different disciplines.

Education and Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of experience in engineering, with at least 3 years in a senior leadership role.