Operations Specialist

About the Role

We are looking for an AI Operations Specialist to efficiently manage day-to-day AI Ops activities, streamline workflows, and ensure smooth cross-team coordination. The ideal candidate should be resourceful, proactive, and interested in exploring AI tools and implementing practical solutions. They should be able to take ownership of tasks end-to-end, solve problems independently, and learn new tools quickly.

Key Responsibilities

• Manage and execute ongoing AI Ops tasks with clear accountability and timely delivery.
• Research, explore, and experiment with AI tools to identify opportunities for improving workflows and solving operational challenges.
• Build, optimize, and maintain automation workflows, pipelines, and task queues.
• Own end-to-end operational cycles: requirement gathering, task execution, QA checks, delivery, and reporting.
• Work closely with internal teams (digital marketing and HubSpot teams) to ensure smooth operations and collaboration.
• Communicate confidently with clients and internal stakeholders to understand their needs, share updates, and explain solutions clearly.
• Track process performance, proactively flag risks or delays, and drive corrective actions.
• Maintain SOPs, documentation, dashboards, and status reports for transparency and process consistency.
• Identify bottlenecks, recommend improvements, and implement scalable workflow enhancements.

Requirements & Tech Stack

• Operations, project coordination, process improvement, or a similar role experience is an advantage.
• Familiarity with AI tools, automation platforms, or productivity tools such as Make, ChatGPT, Claude, or Zapier is beneficial.
• Ability to research unfamiliar topics, learn new tools independently, and figure out practical solutions to challenges.
• Strong problem-solving skills, analytical thinking, and the ability to manage multiple tasks and meet deadlines.
• Excellent communication skills and confidence in interacting with clients and cross-functional teams.
• A proactive, self-driven approach with a strong sense of ownership and accountability.

Qualifications

• A strong interest in AI, emerging technologies, and exploring new ways to improve processes.
• Exposure to AI models, LLM-based workflows, or customer-facing AI tools.
• Familiarity with quality assurance processes, automation testing, workflow optimization, or operational analytics.
• Experience with project management tools, reporting dashboards, or process documentation.