Senior Operations Manager: AI Automation

Capital
Dubai, United Arab Emirates
Hybrid

Who this role is best for

Strong fit for candidates with hands-on AI automation experience who can lead process redesign in regulated environments and work in Dubai.

Best fit for

  • Candidates with 5+ years in operations and measurable AI automation success in regulated settings
    — “5+ years in operations, process excellence, automation or a similar field.”
  • Individuals who can align AI with human judgment in high-control environments
    — “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.”
  • Professionals with experience in Customer Support, KYC, or FinCrime/AML automation
    — “Automation in Customer Support, KYC or FinCrime/AML.”

Things to consider

  • The role requires direct team management and integration with Product and Engineering
    — “Experience working with Product and Engineering, and managing direct reports.”
  • Candidates must be prepared to work in a regulated or control-heavy environment
    — “Experience redesigning processes with operational teams and control owners in a regulated or control-heavy environment.”

How to stand out

  • Highlight specific AI automation projects with measurable outcomes in your resume and interviews
    — “Hands-on experience building and launching AI and automation in live operations, with measurable results.”
  • Demonstrate your ability to prioritize automation opportunities based on impact and baseline metrics
    — “Prioritise those with a clear baseline and measurable value.”
  • Showcase your collaboration with Product and Engineering teams on integration and support
    — “Work with Product and Engineering on integrations and production support.”
  • Emphasize your process redesign experience, especially involving human review and fallback mechanisms
    — “Agree data, permissions and controls before launch, with human review and a manual fallback.”
  • Demonstrate your ability to test AI workflows under real-world conditions and manage post-launch monitoring
    — “Test against real conditions (incomplete inputs, unexpected outputs, failed dependencies). Track quality, usage and benefits against baseline.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • increasing the share of automated tasks across Operations
  • redesigning processes for AI, fixed rules, and human decisions
  • building and launching AI and automation in live operations
  • leading rollout with operational managers and support colleagues
Typical background
5+ years in operations, process excellence, automation

Skills & requirements

Required

AI And AutomationProcess RedesignProcess ExcellenceOperational ManagementControl OwnersProduct And Engineering CollaborationTeam LeadershipAutomation TestingHuman Review And Exception HandlingData AnalysisProject Management

Preferred

Financial Services BackgroundFintech ExperienceBrokerage Or Payments BackgroundCustomer Support AutomationKYC AutomationFincrime/aml AutomationLLM ApisWorkflow ToolsPython Or SQL

Stack & domain

AI AutomationProcess RedesignProcess ExcellenceAutomationLLM ApisWorkflow ToolsPythonSQLProblem-solvingAnalytical SkillsCommunicationCollaborationFinancial ServicesFintechBrokeragePaymentsCustomer SupportKYCFincrime/aml

About the role

Original posting from Capital via Lever

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

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.

Requirements::

  • 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.

Requirements::

  • 5+ years in operations, process excellence, automation or a similar field.
  • Hands-on experience building and launching AI and automation in live operations, with measurable results.
  • Ability to size opportunities and turn them into a prioritised roadmap.
  • Experience redesigning processes with operational teams and control owners in a regulated or control-heavy environment.
  • Experience testing AI workflows and designing human review and exception handling.
  • Experience working with Product and Engineering, and managing direct reports.

Nice to have::

  • Financial services, fintech, brokerage or payments background.
  • Automation in Customer Support, KYC or FinCrime/AML.
  • Hands-on use of LLM APIs, workflow tools such as n8n, and Python or SQL.

Source: Capital careers (Lever)

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