Director of Engineering Platform Products

Innodata; Toronto; Remote; CAD 150,000 - 200,000; Full time

Job summary

A technology company is seeking a Director of Engineering to lead the development of innovative AI platform products. This role requires strong technical leadership and team management skills, along with collaboration across Data Science and Product teams. Ideal candidates should have extensive experience in software engineering and a proven track record in leadership roles. The position offers a competitive compensation package including equity participation.

Benefits

Competitive compensation including equity participation

Professional development opportunities

Collaborative environment with Data Science teams

Qualifications

• 8 years of software engineering experience with 3 years in engineering leadership roles.
• Strong proficiency in modern programming languages.
• Experience building and scaling platform products and developer tools.

Responsibilities

• Architect, design, and contribute code to platform products.
• Build, lead, and mentor a high-performing engineering team.
• Collaborate with Data Science and Product teams to translate vision into technical roadmaps.

Skills

Software engineering

Technical leadership

Project management

Team management

AI/ML systems

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

JavaScript

Go

APIs

Job description

Overview

Location: Remote in North America

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

Job Requirements

• 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

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 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 Commission's guide. If you believe you've been targeted by a recruitment scam, please report it to Innodata and consider reporting it to the FTC.

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Required Experience :

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Key Skills

Go, Lean, Management Experience, React, Node.js, Operations Management, Project Management, Research & Development, Software Development, Team Management, GraphQL, Leadership Experience

Employment Type : Full-Time

Experience : years

Vacancy : 1