Senior Operations Manager: AI Automation

Capital.com; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Capital.com is seeking a Senior Operations Manager: AI Automation to lead how AI and automation are applied across Operations, including Customer Support and FinCrime. You will own the automation roadmap, prioritise opportunities, and redesign processes so AI handles routine tasks while humans retain judgement.

You will build prototypes, test rigorously, and work with Product and Engineering to ensure scalable integrations.

Qualifications

• Own the automation roadmap across Operations.
• Prioritise opportunities with measurable value and a baseline.
• Redesign processes with users and control owners; decide where AI adds value.
• Build prototypes and automations; collaborate with Product and Engineering.
• Test in real conditions, define data, permissions, and fallback.
• Lead rollout and adoption with operations teams; monitor benefits and costs.
• Track quality, usage and impact against the baseline, with clear ownership.

Responsabilités

• Own the automation roadmap and drive adoption across teams.
• Partner with Product and Engineering to integrate automations.
• Lead rollout and adoption with operational managers and support colleagues.
• Monitor efficiency, quality, and cost against defined baselines.

Connaissances

Automation strategy

Process redesign

Operations management

AI workflows

Cross-functional collaboration

Outils

LLM APIs

n8n

Python

SQL

Description du poste

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.