Machine Learning Product Manager (AI)

TL;DR

Machine Learning Product Manager (AI): Leading the strategy, development, and optimization of intelligent decision-making systems with an accent on AI-powered solutions and cross-functional collaboration. Focus on defining product roadmaps, designing human-in-the-loop processes, and driving experimentation to ensure measurable business impact.

Location: Must be based in Germany or eligible European locations

Company

hirify.global is a platform facilitating AI-powered job matching and recruitment processes.

What you will do

• Define and own the product vision, strategy, and roadmap for machine learning-powered decisioning systems.
• Translate business objectives into clear product requirements, user stories, and success metrics.
• Collaborate with Data Science, Engineering, and Commercial teams to develop intelligent systems.
• Identify and prioritize high-impact use cases for machine learning and automated decision-making.
• Design and implement human-in-the-loop processes that balance automation with reliability.
• Drive experimentation and validation efforts to assess model performance and mitigate risk.

Requirements

• Minimum 5 years of product management experience, including significant work with machine learning or AI products.
• Proven experience collaborating with Data Science and Engineering teams to deliver technical solutions.
• Strong analytical mindset with expertise in experimentation, hypothesis testing, and data-driven decision-making.
• Solid technical fluency in data pipelines, model development lifecycles, and system constraints.
• Excellent stakeholder management and communication skills for both technical and non-technical audiences.
• Must be based in Germany or eligible European locations.

Nice to have

• Experience with marketplaces, recommendation systems, ranking algorithms, or pricing systems.
• Passion for sustainability and creating measurable business value through technology.

Culture & Benefits

• Fully remote work environment with flexible working hours and high autonomy.
• Dedicated learning and development budget for professional growth.
• Access to professional coaching, mental health support, and personal development resources.
• Inclusive, feedback-driven culture with regular internal workshops and knowledge-sharing.
• Strong commitment to work-life balance and employee well-being.