Engineering Manager, Hubs
R&D
2-3 days a week in office
Digital manufacturing platform
Be an early applicant
Digital manufacturing platform
1001+ employees
Be an early applicant
2-3 days a week in office
1001+ employees
Company mission
To empower companies to bring new ideas to market by offering the fastest and most comprehensive digital manufacturing service in the world.
Role
Who you are
- Over 5 years of experience leading cross-functional teams in high-growth, technical environments
- Proven leadership within product-centric companies with a strong track record of delivering impactful ML solutions
- Skilled at cultivating autonomous, high-performance teams by setting a clear technical vision, guiding execution, and serving as a strategic bridge between engineering, product, and data science
- Brings a deep understanding of scalable ML system architecture and is comfortable navigating the complexity of evolving platforms
- Experience with modern ML stacks and infrastructure is a strong advantage
What the job involves
- We are looking for an Engineering Manager to join our team in Amsterdam
- This role is ideal for someone who started as a machine learning engineer and has grown into a leadership position. You’ll lead a team building ML-driven products, support their growth, and ensure technical excellence while aligning with business goals
- Our tech stack: S3, PostgreSQL, Redshift, Snowflake, dbt, Python (PyTorch, Tensorflow, sklearn, polars, pandas), Rust, C++, kubernetes, Prefect, Github Actions, Weights & Biases and Datadog
- Lead and manage a high-performing team of ML engineers, driving the development and iterations of our advanced pricing and geometry algorithms
- Support the team with ensuring solutions are scalable and aligned with business needs
- Coordinate cross-functional collaboration across teams in Minneapolis and Amsterdam, establishingstrong communication rhythms and improving alignment on goals and priorities
- Demonstrated expertise in balancing team capacity with project scope to deliver sustainable functionality
- Skilled at articulating clear trade-offs among maintenance costs, user impact, and opportunity cost, ensuring every decision prioritises long-term product health and maximizes team efficiency
- Act as a technical thought leader and strategic partner, interfacing with key stakeholders across Product, Sales and Fulfilment to translate complex ML capabilities into business value
- Support lean machine learning development practices,such as experimentation, rapid prototyping and a writing-first, async-first culture
- Ensuring clear, timely communication across all levels of stakeholders
- Drive continuous model and system improvement through structured experimentation, performance evaluation and feedback loops with internal and external users
- Foster a strong ML engineering team, lead hiring efforts, onboarding and ongoing coaching, while promoting a collaborative, research-driven and delivery-focused team culture
- Collaborate with peer engineering managers to establish ML-specific engineering standards, tooling and shared infrastructure for faster, safer experimentation and deployment
Our take
Digital manufacturing uses digital technologies like artificial intelligence and data analytics to automate and accelerate the manufacturing process. Protolabs helps manufacturing companies speed up the production of their products by producing components via its automated quoting and manufacturing system.
Focussing on commercial-grade plastic, metal and liquid silicone rubber, Protolabs operates across the entire manufacturing pipeline. In the first instance of development, its data analysis tools can highlight any potential problems that could arise in production, before they do. Automated manufacturing quotes are processed within hours and the parts required within days, backing up Protolabs’ claim to be the “world's fastest digital manufacturing service”.
The proof is in the pudding, but Protolabs' stats certainly back up this claim. Serving 60 countries and with 12 manufacturing facilities across the world, its clients include Google X and Paralympic-grade prosthetic limb company BioDapt. Its diverse range of clients speaks volumes about Protolab’s adaptability and efficiency in the digital manufacturing sector, whilst its acquisition of competitor Hub in 2021 indicates the company's leading status in the space.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2019
$18m
SERIES C
Aug 2016
$7m
SERIES B
Total funding: $29.5m
Company benefits
- Health Insurance: Traditional OR High Deductible plan
- Flexible Spending Accounts
- Health Savings Account (including employer contributions)
- Dental and Vision
- Basic and Supplemental Life Insurance
- Short-Term and Long-Term Disability
- Paid caregiver leave
- You will receive PTO + Holiday Pay + Volunteer Hours
- 401k with company match and immediate vest
- Employee Stock Purchase Program with a 15% discount
- And More!
Company HQ
Maple Plain, MN
Leadership
Robert Bodor
(CEO & President)Previously Director of Business Development at Protolabs, Member of the Board of Directors at Minnesota Business Partnership, Safety Software Solutions Leader at Honeywell, Vice President of Luma and Engagement Manager at McKinsey & Company.
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