Job Description

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.