Director of Engineering - Platform Products

September 10

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🖥 Software Engineer

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Innodata Inc.

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(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

1001 - 5000 employees

📋 Description

• 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 • 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 • 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 • 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 • 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

🎯 Requirements

• 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 • 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 • 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 • 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: Experience in AI/ML companies or data annotation/labeling platforms • Preferred: Background with model evaluation, monitoring, and MLOps workflows • Preferred: Knowledge of annotation standards and data quality management • Preferred: Experience building developer-facing APIs and SDKs • Preferred: Previous experience in a player-coach role balancing coding and management • Preferred: Familiarity with agentic AI systems and evaluation methodologies • Minimum Education Requirements Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field.

🏖️ Benefits

• 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.