Product Manager
@ Multiverse Computing

Madrid, Community of Madrid, Spain
€90,000
On Site
Contractor
Posted 2 days ago

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Job Details

About Product Manager

We are looking to fill this role immediately with a fast, transparent process and quick feedback. Join a European deep-tech leader in quantum and AI that is backed by major global strategic investors and strong EU support.

Why Join Us?

Our groundbreaking technology transforms AI deployment worldwide by compressing large language models by up to 95% without losing accuracy and reducing inference costs by 50–80%. You will work on cutting-edge solutions that make AI faster, greener, and more accessible, and be part of a company described as a "quantum-AI unicorn in the making."

What We Offer

  • Competitive annual salary
  • Signing bonus at incorporation and retention bonus at contract completion
  • Relocation package (if applicable)
  • Fixed-term contract ending in June 2026
  • Hybrid role with flexible working hours
  • International exposure in a multicultural, cutting-edge environment
  • Equal pay guarantee

Your Responsibilities

As a Product Manager, you will oversee the implementation of the vision and roadmap for our model inference API and model registry. You will partner with engineering teams, Sales, Marketing, and Leadership to define requirements, prioritize features, and deliver high-quality solutions. Your role involves translating complex technical concepts into clear product requirements, roadmaps, and documentation, while establishing and building on product management practices and processes.

  • Collaborate across teams to gather field feedback
  • Monitor adoption, performance, and user satisfaction
  • Support leadership with prioritization and trade-offs
  • Contribute to overall product strategy

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
  • 2+ years in a technical role with product-facing experience and product/program management
  • Strong understanding of software products, APIs, developer-facing platforms, and the LLM ecosystem
  • Familiarity with machine learning infrastructure and model deployment technologies
  • Excellent communication, collaboration, and organizational skills
  • Perfect command of English

Preferred Qualifications

  • Experience with model-serving systems, ML inference APIs, or LLMs
  • Background in MLOps, distributed systems, or developer tools
  • Experience in introducing product management practices to a new team
  • Exposure to scaling ML products in enterprise environments
  • A balance of technical depth with user-focused product thinking

About Multiverse Computing

Founded in 2019, Multiverse Computing is a well-funded, fast-growing deep-tech company with over 180 employees worldwide. Recognized by CB Insights as one of the Top 100 most promising AI companies globally and the largest quantum software company in the EU, the company offers flagship products such as CompactifAI and Singularity that address critical industry needs in AI and quantum optimization.

Key Skills/Competency

  • Product Management
  • API Management
  • Roadmapping
  • Team Collaboration
  • Technical Documentation
  • Data-Driven Decisions
  • Machine Learning
  • Deep Tech
  • Stakeholder Management
  • Communication

How to Get Hired at Multiverse Computing

🎯 Tips for Getting Hired

  • Research Multiverse Computing's culture: Study their deep-tech and quantum-AI focus on LinkedIn.
  • Customize your resume: Highlight experience with APIs and ML.
  • Showcase product impact: Detail previous product management successes.
  • Prepare for technical questions: Review machine learning and API integration.

📝 Interview Preparation Advice

Technical Preparation

Review API integration concepts and practices.
Study machine learning infrastructure and deployment methods.
Familiarize with model-serving and ML inference systems.
Brush up on technical documentation standards.

Behavioral Questions

Explain a challenging team collaboration experience.
Describe managing conflicting stakeholder priorities.
Discuss adapting quickly in a fast-paced environment.
Share examples of effective communication.

Frequently Asked Questions