Senior Director AI (Chief Revenue Organization)

Join our team as a Senior Director of AI Solutions, where you will lead the design, engineering, and deployment of generative AI and machine learning systems across Sales, Marketing, and Customer Success. This hands-on technical leadership role will require you to build and scale production-grade AI systems that directly drive revenue outcomes. You will collaborate closely with Sales, Product, and Engineering leaders to translate AI capabilities into measurable business value.

• Lead the design, engineering, and deployment of generative AI and machine learning systems across Sales, Marketing, and Customer Success.
• Build and scale production-grade AI systems that directly drive revenue outcomes, including pipeline growth, deal acceleration, customer retention, and operational efficiency.
• Partner with Sales and go-to-market leadership to embed AI into deal strategy and customer engagements, contributing directly to pipeline growth, deal velocity, and account expansion.
• Ability to operate as both a technical leader and business partner. Strong executive communication and stakeholder management skills. Experience influencing senior stakeholders and driving alignment across highly matrixed organizations. Ability to translate complex technical systems into clear business value
• Experience with building AI solutions for Enterprise and driving value through revenue growth like New Logo’s, Recommendations for Crosssell-Upselll
• 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
• 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
• Experience with Salesforce or enterprise CRM ecosystems. 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