Chief AI Officer
@ Trilogy

Hybrid
$400,000
Hybrid
Full Time
Posted 13 hours ago

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XXXXXXXXX XXXXXXXXX XXXXXXXX****** @trilogy.com
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Job Details

About the Role

The Chief AI Officer at Trilogy leads IgniteTech's GenAI revolution, driving transformation across 30+ enterprise products. Working directly with the CEO, you will architect a comprehensive GenAI strategy that integrates cutting-edge AI functionalities, ensuring measurable business growth and significant customer retention.

Key Responsibilities

  • Develop AI Opportunity Matrices to rank customer problems.
  • Architect progressive AI-Enhanced Product Roadmaps with clear dependencies.
  • Create precise AI Feature Requirements with actionable criteria.
  • Execute Customer AI Readiness Assessments to overcome adoption barriers.

What You Won't Be Doing

  • Navigating bureaucratic processes that hinder innovation.
  • Developing AI features in isolation from customer feedback.
  • Managing theoretical projects without production deployment.
  • Operating with limited resources; full support is provided.

Basic Requirements & About IgniteTech

Proven success in launching at least 2 production-grade AI products. Demonstrated experience in managing end-to-end AI product lifecycles and leading data science and ML engineering teams. IgniteTech is a global, 100% remote company that values excellence, diversity, and innovation in enterprise software.

Key skills/competency

  • GenAI
  • AI Strategy
  • Product Roadmap
  • AI Integration
  • Customer Retention
  • Data Science
  • ML Engineering
  • Enterprise Software
  • Remote Collaboration
  • Innovation
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How to Get Hired at Trilogy

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI product strategy and leadership.
  • Showcase success stories: Detail production-grade AI deployments.
  • Research Trilogy: Understand their remote culture and innovation.
  • Prepare for interviews: Emphasize strategic decision-making examples.

📝 Interview Preparation Advice

Technical Preparation

Review AI product lifecycle and case studies.
Study practical applications of AI/ML in products.
Understand enterprise software integration techniques.
Prepare insights on scalable AI solutions.

Behavioral Questions

Describe leadership in remote environments.
Explain decision-making under pressure.
Detail past teamwork and collaboration experiences.
Discuss overcoming challenges in strategic roles.

Frequently Asked Questions