Senior Automation Specialist

Accountabilities:

• • Design and maintain intelligent automation and reasoning layers for operational workflows, enabling tasks to be routed and actioned based on business logic rather than simply moving data between systems.
  • Translate complex manual processes into scalable automation in close partnership with operational and domain experts.
  • Build AI agents using tools such as Claude, Codex, or equivalent technologies, incorporating structured evaluations, real-world testing, and manual quality assurance.
  • Define business rules, data-quality controls, validation gates, and safety mechanisms that determine when an automated workflow should escalate a task to a human.
  • Connect internal systems and third-party services through APIs, webhooks, n8n, and comparable workflow automation technologies.
  • Navigate complex integration environments and connect systems that were not originally designed to work together.
  • Build and maintain frontend applications and automation components using TypeScript and cloud-native infrastructure.
  • Deploy and maintain solutions through GitHub and GitHub Actions, using AWS services and appropriate storage technologies such as S3 and databases.
  • Own automation projects end to end, from discovery and process mapping through architecture, implementation, production deployment, monitoring, and iteration.
  • Work directly with operational leaders across areas such as payments, debt, tendering, partner activation, and other business functions to identify the highest-impact automation opportunities.
  • Continuously reprioritize initiatives according to operational impact and focus efforts where automation can deliver the greatest measurable benefit.
  • Measure success through tangible efficiency improvements, including manual hours eliminated each week.
  • Monitor production workflows, take ownership of errors, and continuously improve automations based on real-world operational feedback.
  • Stay current with developments in AI models, agent frameworks, prompting techniques, and automation tooling, bringing relevant innovations into the organization.
  • Act as an internal product owner for operational efficiency, balancing speed of delivery with reliability, testing, and maintainability.

  Requirements:

  • 3–5 years of professional experience in automation, with a demonstrable portfolio of successful automations that have replaced meaningful amounts of manual work.
  • Proven ability to integrate APIs and connect systems that were not originally designed to communicate with each other.
  • Strong hands-on experience with low-code or workflow automation platforms such as n8n or equivalent technologies.
  • Practical experience building AI agents using Claude, Codex, or similar AI development tools as part of real operational workflows rather than simple chatbot prompting.
  • Strong systems-thinking skills, with the ability to translate complex, loosely defined human processes into structured automation architectures.
  • Experience shipping automation solutions within an engineering environment rather than relying solely on standalone third-party tools or prototypes.
  • Strong testing discipline, including the use of evaluations, real-world data, manual QA, and measurable quality thresholds before deploying workflows into production.
  • Bias toward practical execution, with the ability to deliver valuable automation quickly while maintaining appropriate reliability and quality standards.
  • Ability to work directly with non-technical domain experts, understand their processes, and translate their knowledge into effective technical solutions.
  • Strong ownership and problem-solving skills, with the ability to take responsibility for automation performance throughout its lifecycle.
  • Experience working in a high-growth startup or operations-intensive environment such as fintech, energy, logistics, or e-commerce is advantageous.
  • Background in data engineering or business intelligence is a plus.
  • Active interest in the rapidly evolving AI tooling ecosystem and an ability to identify and apply useful new technologies.
  • Comfortable working independently in a remote-first environment while collaborating effectively with cross-functional teams.

  Benefits:

  • Salary aligned with internal market benchmarks, with compensation reviewed twice per year.
  • Stock options, providing an opportunity to share in the long-term success of the business.
  • 25 days of annual leave in addition to public holidays.
  • Flexibility to exchange public holidays for alternative days that are more meaningful to you.
  • Additional day off for your birthday.
  • Remote-first and flexible working environment with clearly defined core hours.
  • No internal meetings on Friday afternoons to support focused work and flexibility.
  • Annual remote-work setup budget of up to £1,200 / €1,200.
  • Monthly wellbeing budget of up to £150 / €150.
  • Opportunity to work on meaningful AI-driven automation initiatives with direct and measurable operational impact.
  • Inclusive environment welcoming people from diverse backgrounds, experiences, and identities.
  • Fast-moving culture that encourages ownership, experimentation, continuous learning, and practical innovation.