DevX Product Owner

GENERAL INFORMATION:

Industry: automotive / IT

Location: 100% remote from Poland

Rate: up to 180 PLN/h

Form of cooperation: B2B

Project duration: longterm

The DevX Product Owner is tasked with enhancing the developer experience within the EDO SW Performance organization. The primary goal is to optimize tools, processes, and environments to ensure developers are productive and satisfied while leveraging AI technologies to improve the development lifecycle.

MAIN RESPONSIBILITIES:

• Define and evolve the DevX vision and roadmap in alignment with organizational goals.

• Collaborate with developers, engineering leaders, and platform teams to identify pain points and opportunities.

• Prioritize and manage the DevX backlog, balancing quick wins with strategic improvements.

• Lead cross-functional initiatives to improve CI/CD pipelines, development environments, and internal tooling.

• Facilitate feedback loops and measure impact through developer satisfaction metrics and performance KPIs.

• Act as a DevX ambassador, promoting best practices and fostering a culture of continuous improvement.

• Identify and evaluate AI technologies and solutions that can improve developer workflows, automation, and productivity.

• Share AI-driven improvements across teams and promote adoption of AI-enhanced tools and practices.

• Leverage AI across the entire development loop, from planning and coding to testing, deployment, and monitoring.

KEY REQUIREMENTS:

• Proven experience as a Product Owner or similar role in software development environments.

• Strong understanding of developer workflows, agile methodologies, and DevOps practices.

• Technical background (preferably as a developer, architect or in DevSecOps area)

• Excellent communication, facilitation, and stakeholder management skills.

• Ability to translate technical challenges into actionable product requirements.

• Experience with tools such as Jira, Confluence, Git, and CI/CD platforms.

• Demonstrated experience or strong interest in AI technologies.

NICE TO HAVE:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• Experience working in large-scale, distributed software organizations.

• Familiarity with developer experience metrics and internal product adoption strategies.

• Knowledge of AI frameworks, platforms, or tools relevant to software engineering and DevOps.