AI-Enabled Operations Executive

Santriya Technologies; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Santriya Technologies seeks an AI-enabled Operations Executive to run assigned product or service operations using documented workflows, AI-assisted case handling and measurable controls to deliver accurate, timely outcomes. You will manage one or more company products, client solutions or operational services.

Apply approved SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks as the source of truth.

Responsibilities

• Process assigned cases, orders, requests or operational tasks against defined SLAs and product rules.
• Use AI copilots to retrieve procedures, summarize cases, classify requests and propose next actions; validate before execution.
• Monitor work queues, aging, priorities and exceptions and rebalance effort as required.
• Maintain complete audit trails, evidence, customer/system notes and handoff information.
• Perform first-line quality checks and identify recurring failure patterns.
• Coordinate escalations across customer service, product, technology, finance, compliance or logistics teams.
• Follow data privacy, access, approval and maker-checker requirements.
• Recommend SOP, documentation or automation improvements based on measured pain points.

Job description

Job Summary

Santriya Technologies is seeking an AI-Enabled Operations Executive to run assigned product or service operations using documented workflows, AI-assisted case handling and measurable controls to deliver accurate, timely outcomes.

Product & documentation operating model

You will be assigned one or more company products, client solutions or operational services. The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth. Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work. Validate material AI outputs against current documentation and authoritative system data, record exceptions, and elevate conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Process assigned cases, orders, requests or operational tasks against defined SLAs and product rules.
• Use AI copilots to retrieve procedures, summarize cases, classify requests and propose next actions; validate before execution.
• Monitor work queues, aging, priorities and exceptions and rebalance effort as required.
• Maintain complete audit trails, evidence, customer/system notes and handoff information.
• Perform first-line quality checks and identify recurring failure patterns.
• Coordinate escalations across customer service, product, technology, finance, compliance or logistics teams.
• Follow data privacy, access, approval and maker-checker requirements.
• Recommend SOP, documentation or automation improvements based on measured pain points.

AI-enabled ways of working

• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

Human accountability

AI is a copilot, not the accountable decision-maker. The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation. Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

Success Measures

• SLA attainment and right-first-time improve
• Backlog and rework reduce
• Audit trail completeness remains high
• Automation removes repeatable work without increasing risk