Engineering Manager ( R&D )

Protolabs

Education
Benefits
Special Commitments
Skills

What you'll do

    • 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

What it takes

    • 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's in it for you

    • Part of our journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter
    • Flexible and hybrid working arrangements! (we try to accommodate where it’s possible, so feel free to ask us more about this)
    • Wellness and well-being with access to OpenUp psychologists
    • Dog friendly office
    • Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration
    • We offer great opportunities for learning and development, including access to external educational events & trainings, access to our inhouse LEARN platform with diverse courses, training, and workshops, and various opportunities for you to develop your skills
    • Regular team events & socials
Read Full Description
Confirmed 15 hours ago. Posted 9 days ago.

Discover Similar Jobs

Suggested Articles