Product Manager (Ai)

TL;DR

Product Manager (AI): Overseeing the implementation of the vision and roadmap for model inference API and model registry, ensuring they meet the needs of both internal teams and external customers with an accent on defining requirements, prioritizing features, and delivering high-quality solutions. Focus on translating complex technical concepts into clear product requirements, roadmaps, and documentation.

Location: Hybrid role and flexible working hours.

Company

hirify.global is a fast-growing deep-tech company with a team of 180+ employees worldwide and is the largest quantum software company in the EU.

What you will do

• Oversee the implementation of the vision and roadmap for model inference API and model registry.
• Partner with engineering teams and stakeholders to define requirements, prioritize features, and deliver solutions.
• Collaborate with Sales and Marketing to provide visibility into product capabilities and gather feedback.
• Translate complex technical concepts into clear product requirements, roadmaps, and documentation.
• Establish, maintain, and build on product management practices and processes.
• Monitor adoption, performance, and user satisfaction using a data-driven approach.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 2+ years professional experience in a technical role with significant product-facing experience; 2+ years in product or program management.
• Strong understanding of software products, APIs, developer-facing platforms, and the LLM ecosystem.
• Familiarity with machine learning infrastructure, model deployment, or related technologies.
• Demonstrated ability to work hands-on in defining requirements, writing user stories, and prioritizing backlogs.
• Excellent communication and collaboration skills; able to interface effectively with technical and non-technical stakeholders.
• Strong organizational skills and ability to thrive in a fast-paced evolving environment.
• Perfect command of English.

Nice to have

• Experience with model-serving systems, ML inference APIs, or LLM’s.
• Background in MLOps, distributed systems, or developer tools.
• Prior experience introducing product management practices into a new team or department.
• Exposure to scaling ML products in enterprise environments.
• Ability to combine technical depth with user-focused product thinking.

Culture & Benefits

• Be part of a fast-scaling Series B company at the forefront of deep tech.
• Equal pay guaranteed.
• International exposure in a multicultural, cutting-edge environment.