Director of Engineering

Director of Engineering - Platform Products Join to apply for the Director of Engineering - Platform Products role at Innodata Inc. Location: Remote in North America Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. About The Role 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\'ll balance hands-on technical contribution with strategic leadership, building platforms including annotation tools, agentic evaluation systems, and monitoring solutions that scale across diverse customer needs. Key Responsibilities Technical Leadership & Development – 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; make key technical decisions on platform architecture, technology stack, and system scalability; ensure platform reliability, security, and performance standards meet enterprise customer requirements. Team Management & Mentorship – Build, lead, and mentor a high-performing engineering team of 8-15 engineers; provide technical guidance and career development for engineers at all levels; establish engineering processes, standards, and culture that promote innovation and quality; recruit top engineering talent and scale the team to meet growing platform demands. Cross-Functional Collaboration – Partner closely with Data Science teams to understand AI model requirements and integrate ML workflows into platform architecture; collaborate with Product teams to translate product vision into technical roadmaps and deliverable features; work with Project Managers to ensure accurate project scoping, timeline estimation, and delivery commitments; coordinate with Customer Success and Sales teams to understand customer needs and technical requirements. Stakeholder Management – Communicate technical progress, challenges, and opportunities to executive leadership; manage expectations across internal stakeholders and external customers; present technical roadmaps and platform capabilities to both technical and non-technical audiences; balance competing priorities and resource allocation across multiple platform initiatives. Platform Strategy & Innovation – Drive platform strategy aligned with company goals and market opportunities; stay current with AI/ML infrastructure trends and emerging technologies; evaluate and implement new tools, frameworks, and methodologies to improve development efficiency; ensure platforms are designed for multi-tenancy, scalability, and extensibility. Technical Expertise – 8+ years of software engineering experience with 3+ years in engineering leadership; proficiency in 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; experience with databases, data pipelines, and distributed systems. Leadership & Management – Proven track record of building and leading high-performing engineering teams; experience mentoring engineers and fostering technical growth; strong project management skills; history of establishing engineering processes and development methodologies. Collaboration & Communication – Excellent communication skills; experience working with Data Science, Product, and cross-functional teams; strong stakeholder management and expectation-setting abilities; collaborative leadership style with a focus on team empowerment. Business Acumen – Understanding of platform business models and customer needs; experience with both internal tooling and external customer-facing products; knowledge of enterprise software requirements including security, compliance, and scalability. Preferred Qualifications – Experience in AI/ML companies or data annotation/labeling platforms; background with model evaluation, monitoring, and MLOps workflows; knowledge of annotation standards and data quality management; experience building developer-facing APIs and SDKs; prior player-coach role balancing coding and management; familiarity with agentic AI systems and evaluation methodologies. Minimum Education – Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field. What We Offer Opportunity to lead engineering for innovative AI platform products Direct impact on company growth and customer success Collaborative environment with leading Data Science and Product teams 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