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
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
Equal Opportunity Employer Statement 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.
Accessibility & Accommodation 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.
Job Scam Notice 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 at https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
#LI-NS1
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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
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
Equal Opportunity Employer Statement 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.
Accessibility & Accommodation 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.
Job Scam Notice 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 at https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
#LI-NS1
#J-18808-Ljbffr