Chief Technology Officer (AI & Platform)

Matrix Global

$180K — $250K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years leading enterprise-level SaaS platform architecture and engineering
  • Strong software development skills in cloud-native and AI technologies
  • In-depth knowledge of AI, machine learning, data analytics, and architectures
  • Experience with APIs, microservices, and event-driven systems
  • Demonstrated success in scaling engineering teams and navigating rapid growth environments
  • Excellent communication skills for diverse technical and non-technical audiences
  • Bachelor's degree in Computer Science or related field; Master's preferred

Responsibilities

  • Define and drive the overall technology strategy in alignment with business goals
  • Lead architecture for AI platforms, enterprise applications, and data infrastructure
  • Develop next-generation AI-native intelligence platforms and systems
  • Drive innovation for AI-powered user experiences
  • Champion an AI-assisted software development lifecycle and CI/CD pipelines
  • Collaborate with cross-functional leadership and support key customer initiatives
  • Build and mentor high-performing engineering organizations and cultures

Benefits

  • Collaborative, innovative, and growth-oriented work culture
  • Opportunity to lead and shape the company’s technology direction
  • Engagement with executive leadership in strategic company initiatives
  • Exposure to advanced AI and cutting-edge technologies
  • Mentorship and professional development opportunities
Full Job Description
Description

Reporting directly to the CEO, the Chief Technology Officer (AI & Platform) will lead the company's end-to-end technology organization, including AI systems, platform architecture, engineering operations, and data infrastructure.

This is a highly strategic yet deeply hands-on leadership role requiring strong expertise in software engineering, AI-native architectures, enterprise platform development, and organizational leadership. The ideal candidate will combine visionary thinking with the ability to work closely alongside high-performing engineering teams to rapidly design, build, and scale innovative AI-powered products.

Key Responsibilities

Technology Strategy & Architecture

  • Define and drive the company's overall technology strategy aligned with long-term business objectives
  • Lead architecture decisions across:
  • AI platforms and intelligent systems
  • Enterprise applications and APIs
  • Data infrastructure and analytics platforms
  • Cloud-native systems and internal tooling
  • Establish scalable technical foundations that support rapid innovation and execution
  • Evaluate and select technologies, frameworks, vendors, and infrastructure platforms

AI Platform & Product Innovation

  • Lead the development of next-generation AI-native intelligence platforms
  • Architect advanced AI systems including:
  • Knowledge and reasoning architectures
  • Multi-step reasoning systems
  • Intelligent workflow automation
  • Scenario modeling and decision-support capabilities
  • Drive innovation in AI-powered user experiences that improve customer engagement, adoption, and business outcomes
  • Partner closely with product and design teams to transform complex technical capabilities into intuitive enterprise solutions

Engineering Operations & Delivery

  • Champion an AI-assisted software development lifecycle leveraging automation, AI agents, and modern engineering workflows
  • Build and maintain highly automated CI/CD pipelines to improve development velocity, reliability, and quality
  • Ensure platform scalability, resilience, observability, and operational excellence
  • Establish and maintain security and compliance standards, including OWASP and SOC2 best practices
  • Lead modern software engineering processes, release management, and platform governance

Executive & Cross-Functional Leadership

  • Collaborate closely with Product, Sales, Customer Success, and executive leadership teams
  • Support enterprise customer engagements, strategic partnerships, and key client initiatives
  • Serve as a core member of the executive leadership team, helping shape company direction and growth strategy
  • Align technology investments and roadmap priorities with evolving business needs

Engineering Organization & Team Leadership

  • Build, scale, and mentor high-performing engineering organizations
  • Foster a collaborative, innovative, and growth-oriented engineering culture
  • Define organizational structures, hiring strategies, and capability development plans
  • Establish leadership pipelines, performance management frameworks, and engineering best practices
  • Lead geographically distributed teams effectively across multiple regions and functions

Qualifications & Experience

Technical Leadership

  • Proven experience leading architecture and engineering for enterprise-scale SaaS platforms
  • Strong hands-on background in software development, cloud-native systems, and AI technologies
  • Deep understanding of:
  • AI and machine learning platforms
  • Data analytics and intelligent systems
  • Distributed systems architecture
  • APIs, microservices, and event-driven systems
  • Modern software engineering practices and frameworks
  • Experience integrating AI capabilities into both products and software development lifecycles

Leadership & Execution

  • Demonstrated success scaling software engineering organizations and leading complex technology transformations
  • Ability to operate effectively at both strategic and execution levels
  • Strong product mindset with focus on delivering measurable business value
  • Excellent communication and stakeholder management skills across technical and non-technical audiences
  • Comfortable navigating ambiguity, rapid growth, and startup-like environments

Personal Attributes

The ideal candidate:

  • Is passionate about building transformative technology with meaningful impact
  • Thrives in fast-paced, high-growth environments
  • Combines creativity, innovation, and pragmatic execution
  • Leads with humility, collaboration, and accountability
  • Inspires and empowers teams through servant leadership
  • Enjoys mentoring, coaching, and developing people
  • Brings curiosity, bold thinking, and a strong sense of ownership

Education

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required
  • Master's degree preferred
  • Broad knowledge of modern software engineering, AI technologies, cloud infrastructure, frameworks, and industry trends
  • Experience leading large-scale organizational and technical transformation initiatives across globally distributed teams

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