Senior Operations Manager (AI Automation)

Capital.com; United Arab Emirates; Hybrid; AED 250,000 - 500,000; Full time

Benefits offered by this job

Private health insurance

Option to work abroad (up to 30 days a

Volunteering days

Hybrid working (where applicable)

Referral bonuses

Exciting social events

Development and training support

Performance-based bonuses

Job summary

Capital.com is seeking a Senior Operations Manager: AI Automation to guide AI and automation use across Operations, including Customer Support and FinCrime. You will own the automation roadmap, prioritise opportunities and build rollouts with Product, Engineering and operations teams.

You will redesign processes to let AI handle routine tasks while fixed rules cover predictable areas, with human decisions kept where needed. Hybrid work is available.

Qualifications

• 5+ years in operations, process excellence, automation or a similar field.
• Ability to size opportunities and turn them into a prioritised roadmap.
• Hands-on experience building and launching AI and automation in live operations, with measurable results.
• Experience working with Product and Engineering, and managing direct reports.

Responsibilities

• Own the automation roadmap and increase the share of automated tasks across Operations.
• Find opportunities by analysing where time is lost, errors occur or work is repeated.
• Redesign processes with users and control owners; decide where AI adds value.
• Build prototypes and working automations; collaborate with Product and Engineering for integrations.
• Test against real conditions; establish data, permissions and human review fallback.
• Lead rollout with operational managers and support colleagues through adoption.
• Track quality, usage and benefits against baseline; document ownership and recovery.

Skills

Operations management

Process excellence

Automation

LLM APIs

Python

SQL

n8n

Stakeholder coordination

Tools

n8n

Python

SQL

Job description

• We are looking for a Senior Operations Manager: AI Automation to lead how Capital.com uses AI and automation across Operations, including Customer Support and FinCrime
• You will own the automation roadmap. That means deciding what to automate, sizing and ranking each opportunity, and then building, testing and rolling out the automations with the teams who use them. You’ll redesign processes so that AI handles what it does well, fixed rules cover what needs to be predictable, and people keep the decisions that need judgement. You’ll work closely with operational managers, control owners, Product and Engineering, and lead a team of one to two people
• Own the automation roadmap and increase the share of automated tasks across Operations
• Find opportunities by analysing where time is lost, errors occur or work is repeated. Prioritise those with a clear baseline and measurable value
• Redesign processes with their users and control owners. Agree where AI adds value, where fixed rules work better and where a human must decide
• Build prototypes and working automations, and work with Product and Engineering on integrations and production support
• Test against real conditions (incomplete inputs, unexpected outputs, failed dependencies). Agree data, permissions and controls before launch, with human review and a manual fallback
• Lead rollout with operational managers and support colleagues through adoption
• Track quality, usage and benefits against baseline, including review and support costs. Fix failures, and document ownership, monitoring and recovery after launch

Benefits

• Private health insurance
• Option to work abroad (up to 30 days a year)
• Volunteering days
• Hybrid working (where applicable)
• Referral bonuses
• Exciting social events
• Development and training support
• Performance-based bonuses

Experience redesigning processes with operational teams and control owners in a regulated or control-heavy environmentFinancial services, fintech, brokerage or payments backgroundAutomation in Customer Support, KYC or FinCrime/AMLExperience testing AI workflows and designing human review and exception handlingHands-on use of LLM APIs, workflow tools such as n8n, and Python or SQL5+ years in operations, process excellence, automation or a similar fieldAbility to size opportunities and turn them into a prioritised roadmapHands-on experience building and launching AI and automation in live operations, with measurable resultsExperience working with Product and Engineering, and managing direct reports