Senior Director AI, Chief Revenue Organization

Equinix • Toronto, ON

3d • $269,000 - $403,000

About The Position

The Senior Director AI, Chief Revenue Organization leads the design, engineering, and deployment of generative AI and machine learning systems across Sales, Marketing, and Customer Success. This hands-on technical leadership role builds and scales production-grade AI systems that support revenue outcomes, including pipeline growth, deal acceleration, customer retention, and operational efficiency. It works at the intersection of AI engineering, enterprise architecture, and go-to-market strategy, partnering with Sales, Product, and Engineering leaders to translate AI capabilities into measurable business value.

The role owns end-to-end delivery of AI and ML solutions, including model development, data sourcing, evaluation, deployment, and monitoring. It leads technical implementation of LLM-powered copilots, agentic workflows, retrieval-augmented generation pipelines, predictive models, and enterprise integrations. The position also establishes engineering practices and reusable patterns for model development, inference, CI/CD, experimentation, observability, prompt management, tool integration, policy enforcement, and agent lifecycle management.

The Senior Director partners with go-to-market organizations to apply AI to deal strategy and customer engagements, and leads cross-functional execution across Engineering, Data, Product, Sales, and Customer Success. The role leads and develops teams of ML engineers, ML scientists, and AI architects, setting expectations for engineering quality, execution, and technical depth while building scalable development practices and delivery models for enterprise AI.

Requirements

• 12–15+ years of experience in AI/ML, data science, or distributed systems engineering.
• 8+ years leading ML or AI engineering teams in platform or infrastructure environments.
• Proven track record delivering production-grade AI systems at enterprise scale.
• Experience partnering with Sales, Marketing, or Customer Success organizations to drive business outcomes.
• Deep hands-on experience with generative AI, including LLMs, prompt engineering, and fine-tuning.
• Strong experience with retrieval-augmented generation architectures and agentic AI systems.
• Proficiency with ML frameworks such as PyTorch or TensorFlow.
• Experience with cloud platforms including AWS, GCP, or Azure, and modern data stacks.
• Strong understanding of distributed systems, CI/CD, experimentation frameworks, and observability.
• Experience with Salesforce or enterprise CRM ecosystems.
• Strategic thinking and strong business acumen.
• Executive presence and influence.
• Structured problem-solving ability.
• Systems-thinking skills and an enterprise perspective.
• Ability to build teams and scalable operating models.
• Calm, decisive leadership in complex environments.

Nice To Haves

• Experience building internal AI platforms or developer tooling.
• Background in SaaS or enterprise software environments.
• Advanced degree in Computer Science, Machine Learning, or a related field.
• 15+ years of experience.
• Bachelor's degree preferred.

Responsibilities

• Design and deploy generative AI and machine learning solutions embedded in CRM and customer workflows.
• Build LLM-powered copilots, agentic workflows, retrieval-augmented generation pipelines, and predictive models.
• Own the AI/ML lifecycle from data sourcing and model development through evaluation, deployment, and monitoring.
• Architect and guide model training and fine-tuning pipelines using frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Build real-time and batch inference systems, embedding pipelines, and vector database integrations.
• Establish best practices for CI/CD, experimentation, model evaluation, and observability across AI systems.
• Design and deploy agent-based systems that support multi-step reasoning, tool usage, and workflow orchestration across enterprise platforms.
• Establish reusable patterns for prompt management, tool integration, policy enforcement, and agent lifecycle management.
• Partner with Sales and go-to-market leadership to embed AI into deal strategy and customer engagements.
• Contribute to pipeline growth, deal velocity, and account expansion, translating AI capabilities into measurable outcomes such as conversion improvement, productivity gains, and customer retention.
• Collaborate across Engineering, Data, Product, Sales, and Customer Success to deliver integrated AI solutions.
• Translate business problems into scalable technical architectures and ensure alignment across systems, data, and workflows.
• Lead and grow teams of ML engineers, ML scientists, and AI architects.
• Establish high standards for engineering quality, execution, and technical depth.
• Build scalable development practices and delivery models for enterprise AI.

Benefits

• Employee Assistance Program.
• Health, life, disability, and voluntary insurance plans in the United States.
• Retirement plan contributions in the United States.
• Accrued paid time off and paid holidays in the United States.
• Healthcare coverage, life and disability coverage, and optional benefit plans in Canada.
• Equinix-sponsored retirement or savings plans in Canada, including DCPP, RRSP, and TFSA.
• Vacation, personal time, and paid holidays in Canada.
• Employees are eligible for a bonus, and equity may be offered depending on the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior