Senior Business Operations Associate (AI Enabled Workflow)

About the role

In this role, you will manage AI-enabled workflows, ensuring alignment across various teams, including Engineering, Product, and Operations. You will translate business priorities into actionable workflows and address any operational bottlenecks that arise.

Success in this position involves maintaining visibility on fast-paced initiatives and ensuring that critical work progresses smoothly. You will also collaborate with Engineering to refine AI processes and ensure quality standards are met across all workflows.

The salary range for this position is between $98,000 and $162,000, reflecting the seniority and expertise required.

Skills that matter here

• business operations: This role requires a solid background in business operations to drive cross-functional initiatives.
• problem-solving: Strong problem-solving skills are essential for addressing operational challenges and improving workflows.
• communication: Clear communication is critical for coordinating among various stakeholders and managing complex initiatives.
• technical literacy: Technical literacy is necessary to collaborate effectively with Engineering on AI-related tasks.

Who this role suits

• You have a strong background in business operations or product operations.
• You are comfortable working in environments with AI integration and can manage ambiguity.
• You possess excellent communication skills and can navigate complex stakeholder interactions.
• You pay high attention to detail and are reliable in managing sensitive workflows.

From the employer

What you’ll do:

• Real-time business and team alignment
• Coordinate real-time alignment across business teams, Engineering, Product, Operations, AI agents, and other stakeholders.
• Translate business priorities into clear workflows, owners, decision points, and next actions.
• Identify bottlenecks, unclear handoffs, conflicting priorities, and gaps in execution.
• Maintain visibility across fast-moving initiatives and ensure critical work continues to move forward.
• Stay informed about market, product, and digital-asset developments that may affect internal priorities.

• AI-enabled production workflows
• Partner with Engineering to identify where AI-agent capabilities can improve business and operational workflows.
• Help translate business requirements into agent prompts, workflow logic, operating procedures, and quality criteria.
• Support the deployment of AI-agent capabilities into reliable production processes.
• Test and refine AI-heavy workflows, including edge cases, failure modes, escalation rules, and human handoffs.
• Build practical feedback loops between business users, AI agents, and Engineering.

• Quality, handoffs, and escalation
• Own quality standards for AI-assisted and AI-driven internal processes.
• Ensure that workflows have clear inputs, outputs, ownership, approval points, and escalation paths.
• Monitor process performance and identify when an agent or workflow requires human intervention.
• Investigate execution failures, incomplete handoffs, inconsistent outputs, and operational gaps.
• Drive issues to resolution and ensure that lessons learned are incorporated into the relevant workflow or SOP.

• Cross-functional execution
• Work across Corporate Development, Product, Engineering, Compliance, Legal, Marketing, Customer Support, and other teams.
• Coordinate complex initiatives with multiple dependencies and changing deadlines.
• Prepare concise updates, decision summaries, operating trackers, and escalation notes.
• Support internal launches, process changes, and other high-priority initiatives.
• Act as the connective layer between business stakeholders and technical teams.

• Urgent internal support
• Provide reliable coverage for urgent internal issues when required.

What we’re looking for:

• 4+ years of experience in business operations, product operations, strategy, or a related role, with a proven track record of driving cross-functional initiatives and operational improvements.
• Strong business judgement and practical problem-solving skills, with an operations, client, or product-operations mindset.
• Technical literacy to work with Engineering on AI agents, prompts, workflows, APIs, and automation.
• Clear, concise, and responsive communication, with strong follow-through across multiple stakeholders.
• Ability to prioritise under uncertainty, manage ambiguity, and make sensible trade-offs.
• Comfort working in an AI-native environment with multiple AI agents across functions.
• High attention to detail and reliability when handling sensitive or high-impact workflows.
• Willingness to learn quickly and balance speed with quality, controls, and human oversight.

Additional:

• Type: Full-time
• Location: Hong Kong
• Team: Corporate Development
• Workplace: hybrid