Director of Engineering - Platform Products

Location: Remote in Austin, Texas

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