Director of Engineering

Director of Engineering - Platform Products Join to apply for the Director of Engineering - Platform Products role at Innodata Inc. About Innodata Innodata (NASDAQ: INOD) is a leading data engineering company with over 2,000 customers and operations in 13 cities worldwide. We provide AI technology solutions to many of the world’s biggest technology companies and other leading enterprises across financial services, insurance, technology, law, and medicine. Job Description Location: Remote in North America We are seeking an experienced Director of Engineering to lead the development of cutting‑edge platform products that power AI and data annotation workflows for both internal teams and external customers. This is a unique player–coach opportunity where you balance hands‑on technical contribution with strategic leadership. Key Responsibilities Architect, design, and contribute code to mission‑critical platform products including annotation platforms and agentic evaluation & monitoring systems. Conduct thorough code reviews and establish engineering best practices across the team. Make key technical decisions on platform architecture, technology stack, and system scalability. Ensure platform reliability, security, and performance standards meet enterprise customer requirements. Build, lead, and mentor a high‑performing engineering team of 8–15 engineers. Establish engineering processes, standards, and culture that promote innovation and quality. Recruit top engineering talent and scale the team to meet growing platform demands. Partner with Data Science, Product, Project Management, Customer Success, and Sales to translate product vision into technical roadmaps and deliverable features. Communicate technical progress, challenges, and opportunities to executive leadership and manage expectations across stakeholders and external customers. Drive platform strategy aligned with company goals and market opportunities, staying current with AI/ML infrastructure trends and emerging technologies. Qualifications 8+ years of software engineering experience with 3+ years in engineering leadership roles. Strong proficiency in modern programming languages (Python, JavaScript/TypeScript, Go or similar). Experience building and scaling platform products, APIs, and developer tools. Deep understanding of AI/ML systems, model training pipelines, and evaluation frameworks. Knowledge of cloud infrastructure, containerization, and microservices architecture. Proven track record of building and leading high‑performing engineering teams. Excellent communication skills and stakeholder management. Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or related field. Preferred Qualifications Experience in AI/ML companies or data annotation/labeling platforms. Background with model evaluation, monitoring, and MLOps workflows. Experience building developer‑facing APIs and SDKs. Previous experience in a player‑coach role balancing coding and management. Benefits Opportunity to lead engineering for innovative AI platform products. Direct impact on company growth and customer success. Competitive compensation including equity participation. Professional development and conference attendance opportunities. We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process. If you require an accommodation, please let us know, and we will work with you to meet your needs. #J-18808-Ljbffr