Senior Technical Project Manager - Token Factory

United States Digital Space LLC; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

International environment

Impactful AI projects

Job summary

United States Digital Space LLC in Amsterdam is seeking a Technical Project Manager for Token Factory. You will coordinate cross-functional engineering teams, manage dependencies, and drive end-to-end delivery of new AI models.

You will bring together multiple engineering teams, understand the critical path, and ensure ambitious technical goals are delivered on time with minimal overhead. Your responsibilities include leading infrastructure deployments, onboarding models, coordinating delivery

Qualifications

• Excellent project management and delivery skills.
• Ability to identify critical paths, manage complex dependency graphs, and coordinate multiple parallel workstreams.
• Strong risk management and prioritisation skills, with the ability to make progress in fast-changing environments.
• Excellent written and verbal communication skills in English.

Responsibilities

• Leading infrastructure and capacity delivery projects, including new region deployments, capacity expansion, or maintenance framework initiatives.
• Coordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability.
• Building and maintaining execution plans, identifying risks early, and ensuring blockers are resolved before they impact delivery.
• Working closely with engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams.
• Facilitating technical decision-making and ensuring ownership and accountability across complex cross-team projects.

Skills

Project mgmt

Delivery planning

Risk management

Stakeholder comms

English fluency

Incident coordination

Technical background

Job description

About the company:

the company is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Role

As a Technical Project Manager in Token Factory, your primary focus will be coordinating complex cross-functional projects, including new region launches, engineering quality and platform-wide improvement projects, and the end-to-end delivery pipeline for new AI models. You will bring together multiple engineering teams, understand the critical path, proactively manage dependencies and risks, and ensure that ambitious technical goals are delivered predictably, on time, and without unnecessary operational overhead.

Your responsibilities will include:

• Leading infrastructure and capacity delivery projects, including new region deployments, capacity expansion, or maintenance framework initiatives.
• Coordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability.
• Building and maintaining execution plans, identifying risks early, and ensuring blockers are resolved before they impact delivery.
• Working closely with engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams.
• Facilitating technical decision-making and ensuring ownership and accountability across complex cross-team projects.
• Continuously improving engineering delivery processes to make execution more predictable while maintaining a sustainable pace for engineering teams.

Requirements

• Excellent project management and delivery skills with the ability to break down ambiguous initiatives into executable plans
• Ability to identify critical paths, manage complex dependency graphs, and coordinate multiple parallel workstreams
• Strong risk management and prioritisation skills, with the ability to make progress in fast-changing environments
• Excellent written and verbal communication skills in English
• Comfortable leading incident coordination, facilitating discussions, documenting decisions, and driving follow-up actions
• Strong technical background that allows you to understand engineering discussions, infrastructure dependencies, and architectural trade-offs without being the primary implementer

It will be an added bonus if you have

• Experience working with GPU infrastructure, AI/ML platforms, or large-scale inference systems
• Experience delivering cloud infrastructure or data center deployment projects
• Familiarity with capacity planning, production operations, and reliability engineering
• Previous experience in high-growth infrastructure or platform engineering organisations where priorities change quickly and execution speed matters

Benefits & Perks:

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

What's it like to work at the company:

Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI

Equal Opportunity Statement:

the company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.