Senior Product Manager (AI Automation)
New
E
ETGAI automation
Portugal. Poland. Cyprus. Armenia. Thailand. MontenegroFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–6 years of experience in product management
- Required Skills
- Product ManagementQA AutomationPrompt Engineering
Requirements
- Have 4–6 years of experience in product management.
- Ideally have worked on automation or AI initiatives that delivered measurable business results.
- Bring strong analytical and research skills, including process analysis, opportunity sizing, project economics and data-informed prioritisation.
- Have experience taking initiatives from discovery and business case through delivery, pilot evaluation and production rollout.
- Be confident working with complex processes, multiple stakeholders and cross-functional technical teams.
- Have strong communication and stakeholder-management skills to align business and technical teams, manage competing priorities and advocate for automation while maintaining service quality.
- Have hands-on, regular experience with AI agents such as Claude Code or Codex.
- Have a working understanding of prompt engineering, model selection and LLM integrations.
- Customer support or contact-centre operations experience is a nice to have.
- Familiarity with BPMN and workflow tools such as Camunda is a nice to have.
- Experience automating complex operational processes in adjacent domains is a nice to have.
Responsibilities
- Own the product line roadmap and prioritisation, deciding what to build and delivering against measurable savings targets.
- Work with support operations to understand processes, identify automation opportunities and turn operational pain points into shipped solutions.
- Analyse processes, volumes, costs and expected outcomes; build data-driven business cases and assess whether initiatives should be piloted or scaled.
- Define scope, business logic and requirements for automation initiatives, including exceptions, dependencies and cases that need to remain under human control.
- Partner with BPM engineers, backend developers, the LLM team, QA and process owners to align on solutions and delivery.
- Run several initiatives in parallel, balancing new automation opportunities, active projects and infrastructure work.
- Shape product documentation standards, phased delivery and the path from pilot to production.
- Use AI tools such as Claude Code or Codex for analysis, prototyping and documentation, and critically validate their outputs.
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