Location: Remote in North America
Who we are:
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.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
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 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
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