The AI Operations Specialist is a hands-on role focused on building and deploying AI workflows and autonomous agents directly into the Salesforce ecosystem (but not only). Your primary goal is to boost efficiency across Customer Support and Sales by automating manual processes and creating scalable data pipelines.
Acting As a Cross-functional Bridge, You Will

• Integrate AI logic into Salesforce to improve the customer experience.
• Collaborate with Data Engineering and Product teams to manage data lifecycles and surface actionable insights.
• Maintain the Salesforce infrastructure as the central hub for all AI-driven business logic and interactions.
  

Main Responsibilities
Implementation & System integration

• Integrate AI infrastructure within Salesforce to ensure seamless adoption by customer-facing teams.
• Collaborate with Data Engineering to oversee the ingestion, storage, and integrity of AI-generated data (e.g., CS tickets labeling, transcripts, sentiment logs) in compliance with GDPR.
• Manage the full project lifecycle, from initial technical design and documentation to production maintenance and internal stakeholder adoption.
  

AI Automation & Agent architecture

• Build and maintain custom AI agents to automate high-volume repetitive manual tasks
• Perform continuous tuning of bot logic and prompt structures to improve output accuracy and Customer Satisfaction (CSAT) benchmarks.
  

Cross-Functional operations

• Serve as the primary point of contact for operational teams, translating business requirements into functional AI-driven solutions and automations.
• Transition experimental models in collaboration with the Data Science team into scalable, enterprise-grade operational tools.
• Monitor and report on AI performance metrics to ensure alignment with departmental KPIs.
  

Skills & Competencies

• Experienced in Python and working with Large Language Models (LLMs).
• Understanding of API integrations and managing data flows between disparate systems.
• Knowledge about Salesforce Objects and APIs is highly preferred to ensure data synchronization between the CRM and AI layers.
• Demonstrated expertise in designing and testing prompts to optimize model performance.
• Ability to build robust, scalable tools designed for high-volume business environments.

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