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Innodata Inc. · 21 hours ago

Director of Engineering - Platform Products

United States

Full-time

Remote

Director/Executive

8+ years exp

Innodata Inc. is a leading data engineering company specializing in AI technology solutions. The Director of Engineering will lead the development of platform products that power AI and data annotation workflows, balancing hands-on technical contributions with strategic leadership.

AnalyticsArtificial Intelligence (AI)Enterprise SoftwareInformation TechnologyInternetMachine Learning

H1B Sponsor Likely

Responsibilities

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

Qualification

Software engineering experienceAI/ML systems knowledgePlatform product developmentModern programming languagesCloud infrastructure knowledgeTeam leadershipBusiness acumenProject management skillsCollaboration skillsCommunication skills

Required

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

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field

Preferred

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

Benefits

Competitive compensation including equity participation

Professional development and conference attendance opportunities

Company

Innodata Inc.

Glassdoor3.3

(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked.

Founded in 1988

Hackensack, New Jersey, USA

5001-10000 employees

http://www.innodata.com

H1B Sponsorship

Innodata Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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