Director of Engineering Platform Products

Location: Remote in North America

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2000 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 worlds 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 were 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 3000 employees in the United States Canada United Kingdom the Philippines India Sri Lanka Israel and Germany. Were 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 youll 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

Technical Expertise

• 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

• 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 with ability to deliver complex initiatives on time

• History of establishing engineering processes and development methodologies

Collaboration & Communication

• Excellent communication skills with ability to explain technical concepts to diverse audiences

• Experience working closely with Data Science Product and cross-functional teams

• Strong stakeholder management and expectation-setting abilities

• Collaborative leadership style with 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

• Previous experience in a player-coach role balancing coding and management

• Familiarity with agentic AI systems and evaluation methodologies

Minimum Education Requirements

• Bachelors 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 working 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.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment banking details or sensitive personal information during the application process. To learn more on how to recognize job scams please visit the Federal Trade Commissions guide at you believe youve been targeted by a recruitment scam please report it to Innodata at and consider reporting it to the FTC at .

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