Test and validate workflows across edge cases to ensure accuracy, reliability, and repeatability before deployment
Configure AI-assisted summarization, data processing, and exception-based logic steps within approved operational frameworks
Support prompt engineering and iteration for tools including Claude, Microsoft Copilot, and Vinton AI
Document automation logic, inputs, outputs, and governance notes so solutions can be maintained and reused
Sales Process & Data Analysis
Map existing sales workflows to identify friction points, manual steps, and automation candidates
Analyze operational and CRM data to surface trends, gaps, and opportunities for AI-assisted improvement
Assist in building dashboards and reports to track AI tool adoption, usage patterns, and productivity impact
Support data preparation, cleaning, and validation to ensure high-quality inputs for AI workflows
Collaboration & Communication
Work cross-functionally with Sales Enablement, Salesforce Admins, and commercial team members to gather requirements and validate solutions
Present findings, workflow designs, and test results to the Sales Operations and AI Ambassador teams and relevant stakeholders
Contribute to documentation, knowledge base articles, and user guides for deployed AI workflows
Participate in the AI Ambassador program and support broader AI adoption initiatives across the commercial team
What You’ll Gain
Direct exposure to how AI is applied within a real enterprise sales environment — not academic simulations
Hands-on experience with leading AI tools: Claude, Microsoft Copilot, Vinton AI, and Salesforce-integrated AI agents
Practical skills in workflow design, operational analytics, and stakeholder communication
Experience that translates directly into careers in Sales Ops, Revenue Ops, AI Strategy, or Digital Transformation
Mentorship from a Sales Operations Leader with active responsibility for AI adoption across a global commercial team
Minimum Qualifications
Currently enrolled in a post-secondary program in Business, Business Analytics, Information Systems, Computer Science, or a related field
Demonstrated interest in AI tools and workflow automation — through coursework, personal projects, or hands-on experimentation
Basic understanding of sales processes and commercial operations (e.g., lead management, pipeline, CRM usage)
Strong analytical thinking with the ability to break down operational problems and propose structured solutions
Proficiency in Microsoft 365 (Excel, SharePoint, Teams); comfort working in data-rich environments
Clear written and verbal communication skills; able to document technical logic for non-technical audiences
Ability to work independently with minimal direction and navigate ambiguity
Desired Qualifications
Hands-on experience with generative AI tools (Claude, ChatGPT, Copilot, or equivalent) in an applied or academic context
Programming experience in Python, particularly for data manipulation, automation scripting, or API interaction
Familiarity with Salesforce CRM — even basic navigation or coursework (Trailhead counts)
Experience with data visualization tools such as Power BI or Tableau
Exposure to prompt engineering, LLM-based workflows, or no-code/low-code automation platforms (Zapier, Power Automate, n8n, or similar)
Knowledge of SQL or experience querying structured datasets
Prior co-op or internship experience in a business operations, analytics, or technology role
The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.
All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.
A reasonable estimate of the pay range for this position is $25 - $28.50 hourly. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee’s total compensation package.
