Senior Director AI, Chief Revenue Organization

Role summary

AI delivery and engineering

• Deliver CRM and customer-workflow AI, including copilots, agents, RAG pipelines, and predictive models.
• Own the lifecycle from data sourcing and model development through evaluation, deployment, and monitoring.
• Guide training and fine-tuning pipelines; build inference systems, embedding pipelines, and vector database integrations.
• Set practices for CI/CD, experimentation, evaluation, and observability.
• Build agent systems for multi-step reasoning, tool use, and enterprise workflow orchestration; establish reusable agent and prompt practices.

Revenue impact and leadership

• Partner with go-to-market leaders on deal strategy and customer engagements; support pipeline growth, deal velocity, and account expansion.
• Translate AI capabilities into conversion, productivity, and customer-retention outcomes.
• Coordinate across Engineering, Data, Product, Sales, and Customer Success to align systems, data, and workflows.
• Lead and grow ML engineering, ML science, and AI architecture teams; establish high engineering standards and scalable delivery models.

Experience and expertise

• 12–15+ years in AI/ML, data science, or distributed systems engineering; 8+ years leading ML or AI engineering teams in platform or infrastructure environments.
• Track record delivering production-grade enterprise AI systems and partnering with Sales, Marketing, or Customer Success.
• Hands-on generative AI, LLM, prompt engineering, fine-tuning, RAG, and agentic AI experience.
• PyTorch or TensorFlow proficiency; cloud experience with AWS, GCP, or Azure and modern data stacks.
• Strong understanding of distributed systems, CI/CD, experimentation frameworks, and observability.
• Strategic and structured problem solving, business acumen, executive influence, and team-building ability.

Additional qualifications

• Salesforce or enterprise CRM experience, internal AI platform or developer tooling experience, and SaaS or enterprise software background are listed as additional attributes.
• Advanced degree in Computer Science, Machine Learning, or related field is listed; bachelor's degree is preferred.

Compensation

• Annual targeted base pay for Toronto is CAD 182,000–CAD 272,000; bonus and equity are not included in this range.
• The posting also lists annual ranges for Redwood City and Dallas in the United States.
• Posting states this is a backfill for an existing vacancy.

Benefits

• Benefits include an Employee Assistance Program and, in Canada, healthcare coverage, retirement or savings plans, vacation, and paid holidays, subject to plan terms and eligibility.