Job Description:
• Define strategy to develop and implement AI machine learning models focused on revenue optimization and cost reduction
• Monitor model performance: Identify drift and orchestrate the retraining/update of models as necessary
• Reimagine the frontline sales tech stack philosophy to create a unified AI workspace
• Analyze sales activities to identify opportunities for AI augmentation or automation
• Define technical requirements for systems interoperability
• Lead the process of defining AI GTM projects tied to measurable improvements in EBITDA, Gross Margin, and Net Revenue Retention
• Work with IT teams to ensure AI projects align with the sales organization needs
• Create and maintain interactive dashboards and reports to visualize KPIs and model outputs
Requirements:
• Bachelor’s degree in Business Analytics, Data Science, Information Systems, or a related field
• At least 5 years of experience in Sales Operations, RevOps, or Sales Enablement
• Authoritative knowledge of the Salesforce.com ecosystem and familiarity with Generative AI tools (e.g., Google Gemini) and cloud architectures (AWS)
• An understanding of programing languages such as Python (with libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch)
• Experience with statistical modeling and machine learning techniques (e.g. time-series analysis, gradient boosting, clustering, neural networks)
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Familiarity with data visualization tools (e.g. Tableau, Power BI, Looker)
• Familiarity with agentic AI frameworks or specific sandbox environments like Salesforce Agentforce or AWS and experience with low code/no code agent building
• Demonstrated success leading organizations through significant technological transformations
• Requires excellent written and verbal communication skills
• A track record of mentoring junior analysts
Benefits:
• medical, dental, and vision coverage
• paid time off
• disability insurance
• 401(k) with company match
• life insurance
• other voluntary supplemental insurance coverages
• parental leave
• adoption assistance
• tuition assistance
• employer/partner discounts