Senior Business Operations Associate (Corporate Development)

About the role

In this role, you will manage operations in an AI-native environment, focusing on aligning teams and improving workflows using AI capabilities. You will be involved in translating business priorities into actionable plans and addressing any bottlenecks that arise.

You will collaborate with various departments, including Engineering and Product, to ensure seamless integration of AI agents into business processes. Success in this position requires strong communication skills and the ability to prioritize tasks effectively in a fast-paced setting.

The salary for this position ranges from $90,000 to $150,000, reflecting the seniority and expertise required.

Who this role suits

• Candidates should have a background in business operations or a related field.
• They must possess strong problem-solving abilities and be comfortable with technical concepts.
• Attention to detail and reliability are crucial, especially when managing sensitive workflows.
• A willingness to learn and adapt quickly in a dynamic environment is essential.

From the employer

• 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.

• 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.