Revenue AI Strategist

Remote · USA Full-time New today

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:

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