Operations Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Identify the most impactful business challenges within a designated business unit, encompassing P&L lines, operational obstacles, and customer issues.

• Develop and deploy functional AI solutions on the agentic operating system.

• Translate business-unit expertise into organized skills and context files for autonomous utilization by AI agents or new team members.

• Foster acceptance through live demonstrations to initially skeptical stakeholders.

• Adapt positions based on evidence, including data analysis, usage statistics, logs, and unfavorable results.

• Maintain resilience in the face of resistance while driving progress.

• Achieve measurable before-and-after results from a personally spearheaded transformation.

⛳️ Requirements

• Proficient in at least one of the following domains: finance, operations, customer support, or engineering.

• Daily, hands-on experience with AI as an operator, showcasing live agents, automations, or skills libraries in a production environment.

• Capability to bridge disciplines and create practical tools.

• Excellent written communication skills; ability to create standalone specifications and context documents.

• Rapid learning ability.

• Comfortable working at a fast pace amid uncertainty.

• Decision-making based on evidence.

• Proven personal experience in transforming a process, department, or product with measurable before-and-after impacts.

• Established, up-to-date, hands-on experience utilizing AI tools and agents in a production or business setting.

• 1–3 years of software development or programming experience.

• Over 3 years of operational experience enhancing business processes and delivering measurable results.

• Experience working across business, technology, and people domains.

• History of delivering early-stage functional solutions and iterating based on feedback.

• Comfort in embedding within an operational business unit and working independently with minimal oversight.

• Master’s degree in Data Science, Statistics, Artificial Intelligence, or a related quantitative or technical field.

🏝️ Benefits

• Opportunity to work with cutting-edge AI technologies.

• Collaborative and innovative work environment.

• Competitive salary and performance-based incentives.

• Professional development and growth opportunities.