Engineering Director (Product)

Multiverse Computing

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Multiverse Computing

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Engineering Director (Product)

Multiverse Computing

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Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.

With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.

Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems-such as language models-to make them significantly more efficient and portable.
Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You'll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We're looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

We're committed to building a truly inclusive culture - come and join us.

As an Engineering Director - Product, you will

Lead and manage multiple engineering teams focused on model development, evaluation, and related activities, ensuring high performance, collaboration, and delivery excellence.

Drive strategic planning and execution of machine learning model development and evaluation initiatives, aligning outcomes with company goals and product vision.

Influence and provide visibility to decision makers on modelling trends, research directions, and data-driven insights to help define strategic product priorities.

Coordinate cross-functionally with Research, Platform, Marketing, Leadership, and other collaborators to ensure integrated execution across model lifecycles and downstream product applications.

Define and implement best practices in model experimentation and evaluation methodologies to ensure scalable and reproducible results.

Develop comprehensive project plans, including milestones for model releases, evaluation benchmarks, resource allocations, and risk assessments.

Monitor project timelines, technical risks, and resource allocation across teams to maintain delivery excellence.

Establish, maintain, and evolve evaluation and analytics systems that measure and improve model accuracy, reliability, throughput, and fairness.

Report on engineering progress, research insights, and strategic needs to senior leadership; communicate technical findings clearly to both technical and non-technical stakeholders.

Demonstrate a data-driven and customer-centric focus in decision making, ensuring solutions are grounded in measurable outcomes and user impact.

Evaluate and make key technical decisions, including trade-offs between model complexity vs. efficiency, internal vs. external datasets, and experimental vs. production-ready approaches to align with company objectives.

Mentor engineering managers, technical leads, and other developers, fostering professional growth, technical depth, and cross-team collaboration.

Required Qualifications

Master's degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field; or equivalent industry experience.

8+ years of hands-on experience in software engineering, data science, or other relevant engineering domains, including model development or analytics.

2+ years of successful leadership experience managing engineering or data-focused teams in a technology-driven environment.

Solid understanding of modern ML development pipelines, data science practices, and model evaluation frameworks.

Exposure to product management, with a strong understanding of lifecycle planning and cross-functional coordination.

Demonstrated experience delivering high-quality analytical or model-based products on time and within scope.

Excellent leadership skills with the ability to motivate, guide, and develop diverse technical teams effectively.

Strong organizational and time-management skills, coupled with a keen eye for analytical and technical detail.

Exceptional communication with a perfect command of English.

Preferred Qualifications

PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field.

Experience with Large Language Models and other advanced ML architectures; techniques including fine-tuning, evaluation, or benchmark design.

Experience designing and maintaining model evaluation frameworks, including automated benchmarking and performance tracking.

Perks & Benefits

Competitive commission structure and signing bonus.
Indefinite contract with equal pay guaranteed.
Private health insurance fully covered by the company.
Flexible working hours.
Work in a high-paced environment on cutting-edge technologies at the intersection of AI and Quantum Computing.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.