Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Experience Requirements:

• At least 2 years working experiences in modern DevOps practices and microservice architecture

• Expertise in Kubernetes and containerization technologies

• Hands-on experience with platforms such as KubeFlow, Kserve, or equivalent

• Experience in ML Experimentation and registry platforms such as W&B or MLFLow

Other Requirements:

• Understanding of time series modeling and its data requirements

• Familiar with ML/NN frameworks

• Fluent in both written and spoken English; German is a plus

• Familiar with AWS or other cloud service providers is a plus

Responsibilities:

• Design and maintain scalable pipelines for deploying machine learning models

• Ensure models are securely integrated into production environments with minimal latency

• Implement monitoring systems to track model performance and flag issues

• Develop methods to evaluate and compare the performance of different models

• Automate processes for validating model accuracy and consistency

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5–8+ years in enterprise client success or account management

Other Requirements:

• Experience in healthcare and/or AI

• Proficiency in HubSpot, Monday.com, Slack

• Exceptional communication and storytelling skills

Responsibilities:

• Own end-to-end success of key enterprise customers

• Build and execute Account Plans and use case mapping

• Demonstrate measurable ROI through metrics and insights

• Lead strategic discussions and Quarterly Business Reviews (QBRs)

• Collaborate internally to unblock issues and drive product feedback

Benefits:

• €70K OTE with uncapped commission

• Employee Stock Option Plan (ESOP)

• MacBook and full sales tool setup

• Amsterdam office with strong team culture

• Quarterly team events and wins

Experience Requirements:

• 2–3+ years in B2B SaaS sales

• Full-cycle sales experience (qualify, pitch, negotiate, close)

• Hospitality mindset understanding restaurant operators

• Structured pipeline management in HubSpot

• Experience with tools like Apollo and Instantly

Other Requirements:

• Fluent Dutch and English

• German or French is a plus

• AI-first mindset

• Competitive and resilient

Responsibilities:

• Convert inbound leads fast

• Build outbound pipeline via multi-channel campaigns

• Own the full sales cycle from contact to signature

• Run strong demos using live tests and real scenarios

• Negotiate and close monthly and annual contracts

Benefits:

• Above market standard internship pay

• Potential to stay on after graduation

• MacBook and full tool setup

• Fresh lunch and great coffee in office

• Quarterly team events

Education Requirements:

• Potential to stay on after graduation implies current student status

Experience Requirements:

• No expert status required; curious and driven

• Commercially curious with market research interest

• Comfortable using AI tools like ChatGPT and Claude

• Structured and organized approach to tasks

• Product-minded builder mentality

Other Requirements:

• AI-first mindset

• People person with good conversation skills

• Fast learner eager to understand hospitality tech

• Proactive problem solver

Responsibilities:

• Support lead generation and research

• Execute outbound outreach (email, WhatsApp, LinkedIn, phone)

• Track engaged prospects and keep pipeline moving

• Surface commercial insights for product teams

• Implement AI tools to automate workflows

Benefits:

• Above market standard internship pay

• Potential to stay on after graduation

• MacBook and full tool setup

• Fresh lunch and great coffee in office

• Quarterly team events

Education Requirements:

• Potential to stay on after graduation implies current student status

Experience Requirements:

• No expert status required; curious and empathetic

• Technically curious regarding product quirks

• Comfortable using AI tools like ChatGPT and Claude

• Structured and organized approach

• Product-minded builder mentality

Other Requirements:

• AI-first mindset

• People person focused on building relationships

• Troubleshooting skills

• Fast learner

Responsibilities:

• Support customer onboarding

• First point of contact for troubleshooting and guidance

• Track incoming issues and resolve quickly

• Spot bugs and track patterns for engineering

• Support self-serve rollout and build knowledge bases

Education Requirements:

• BS or MS degree in a technical field preferred, or equivalent work experience

Experience Requirements:

• 6+ years designing and delivering enterprise products in a Product Management role

• Hands-on with AI capabilities

• Proficiency in program/project management

• Data-driven approach to business results

Other Requirements:

• US citizens or Green Card holders

Responsibilities:

• Define and lead the vision and strategy for Legion’s enterprise agent/workflow solutions

• Provide product thought leadership

• Champion and evangelize the platform

• Partner with marketing, customer success, and delivery teams

• Balance high-velocity execution with architectural rigor

Benefits:

• Dynamic entrepreneurial environment

• Opportunities for fast personal growth

• Young and open company culture

• Focus on communication, partnership, and team building

• Opportunity to join and scale the organization

Experience Requirements:

• 7+ years selling to OEMs in Food, Packaging, or Intralogistics

• Familiar with industrial automation (PLCs, IPCs)

• Experience with traditional vision players (Cognex, Keyence, SICK)

Other Requirements:

• Dutch, English, and French are mandatory

• Based in the region and committed to being in office 3-4 days per week

• Understand the specific pressures of hygiene and high throughput

Responsibilities:

• Navigate BOM Economics and structure deals for OEMs

• Sell Industrial Vision AI Infrastructure offering

• Structure ROI-Based Deals with recurring revenue streams

• Manage the BE/NL Ecosystem with local System Integrators

• Bilingual Stakeholder Management across Flanders and Wallonia

Benefits:

• Dynamic entrepreneurial environment

• Opportunities for fast personal growth

• Young and open company culture

• Focus on communication, partnership, and team building

• Opportunity to join and scale the organization

Education Requirements:

• Strategy Consulting background (e.g., Roland Berger, Bain)

Experience Requirements:

• 3-5 years in Strategy Consulting or Industrial Private Equity

Other Requirements:

• Exceptional financial modelling (Excel/Python)

• C-suite presentation skills

• Willingness to travel to the office at 60%

• Ability to translate technical governance into financial terms

Responsibilities:

• Lead the Business Diagnostic and uncover hidden costs

• Construct the NPV Model to justify investment

• Primary voice to the C-Level for Executive Plans

• Enforce the No-Demo Rule and validate business cases

• Derive per-unit pricing architecture

Benefits:

• Dynamic entrepreneurial environment

• Opportunities for fast personal growth

• Young and open company culture

• Focus on communication, partnership, and team building

• Flexible Income plan via Payflip

Education Requirements:

• Bachelor within an HR-related field of study

Experience Requirements:

• Demonstrable experience as a Payroll Specialist (Belgian context)

• First experience with comp & ben related tasks

• Experience with Blox and/or Payroll ideally

Other Requirements:

• Thorough understanding of Belgian social legislation

• Excellent Excel skills

• Tech-savvy with digital tools

• Fluent in Dutch and English

• Precise with exceptional attention to detail

Responsibilities:

• Responsible for smooth payroll process for ~100 employees

• Implement international payroll through social secretariat

• Ensure compliance with contractual and local legislation

• Serve as SPOC for payroll and benefit queries

• Contribute to HRIS implementation and C&B projects

Benefits:

• Paid time off

• Healthcare benefits

• 401k including an employer match

• Education reimbursement

• Discount perks

Education Requirements:

• Bachelor’s degree (BA/BS) in Computer Science, Information Systems, Engineering, or a related field

Experience Requirements:

• 7+ years of relevant experience

• Proven track record delivering large scale, complex system integrations

• Strong technical understanding of decoupled architectures and API-first methodologies

• Hands-on experience working across multiple major enterprise platforms like ServiceNow or Salesforce

• Experience building and maintaining platform-to-platform integrations

Other Requirements:

• Active or ability to obtain and maintain Security Clearance is highly preferred

• Exceptional communication skills

• Security-minded

Responsibilities:

• Design and prototype innovative solutions translating challenges into proofs of value

• Architect and maintain high-performance API Gateways and Service Meshes

• Drive Infrastructure as Code (IaC) maturity using tools like Terraform or Ansible

• Implement comprehensive observability and distributed tracing

• Integrate and extend major enterprise platforms

Benefits:

• Paid opportunity

• Work with a fun group of colleagues

• Technical growth

• Challenging problems

Education Requirements:

• Currently pursuing a PhD (or final year Masters) degree in Mechanical Engineering, Civil Engineering, Aerospace Engineering, Chemical Engineering or Physics

Experience Requirements:

• Coursework or demonstrated knowledge in fluid mechanics, heat transfer and chemistry

• Familiarity with CFD software Star-CCM+, ANSYS Fluent, COMSOL or OpenFOAM

• Familiarity with parametric CAD design on NX, CATIA or FreeCAD

• Familiarity with HPC environments and Linux

• Familiarity with AI-driven modelling techniques

Other Requirements:

• Must have existing right to work in the UK (no visa sponsorship)

• Strong problem-solving skills

• Excellent communication skills

Responsibilities:

• Develop parametric CAD models and geometry generation workflows

• Build automated CFD pipelines for high-fidelity datasets

• Manage large-scale simulation datasets on cloud HPC

• Implement automated post-processing routines

• Collaborate with Data Scientists and ML Engineers

Benefits:

• Equity options

• 5% 401(k) match

• Flexible working

• Enhanced parental leave

• Private healthcare

Education Requirements:

• Masters or PhD

Experience Requirements:

• At least 1 year industry experience in a commercial, non-research environment

• Foundations in data driven modelling and deep learning

• Hands-on experience in probabilistic methods and predictive modelling

• Expertise in Python (NumPy, SciPy, Pandas, TensorFlow, PyTorch)

• Deploying scalable, production-ready models

Other Requirements:

• Ability to travel to customer sites (2-3 weeks per quarter)

• Right to work status required

Responsibilities:

• Pre-processing and analyzing data for predictive modelling

• Developing innovative deep learning models

• Designing, building and testing data pipelines

• Integrating data science models with simulations

• Engaging in communication and presentation with technical teams and customers

Benefits:

• Equity options

• 10% employer pension contribution

• Free office lunches

• Flexible working

• Private healthcare

Experience Requirements:

• Deploying Kubernetes clusters across cloud (AWS, Azure) and on-prem

• Infrastructure-as-code tools (Crossplane, Terraform, Helm)

• Networking, security, and observability in containerised environments

• Working directly with external customers or clients

• Customer-led, professional services, or solutions engineering role

Other Requirements:

• Excellent communication skills

• Self-motivated with strong project management skills

• Experience in regulated industries or high-security environments is a plus

Responsibilities:

• Assess infrastructure requirements and security constraints

• Build relationships with customer technical teams

• Design and execute deployment strategies

• Troubleshoot complex deployment issues

• Act as a system validator

Benefits:

• Paid opportunity

• Technical growth

• Work with a fun group of colleagues

Education Requirements:

• Currently pursuing a PhD or Master's or Bachelor’s degree in Mechanical/Civil/Aerospace/Chemical Engineering

Experience Requirements:

• Familiarity with finite element analysis concepts

• Basic understanding of FEA software (ANSYS, ABAQUS, NX NASTRAN, etc.)

• Proficiency in Python or MATLAB is mandatory

• HPC environments and Linux is a plus

Other Requirements:

• Must have existing right to work in the UK (no visa sponsorship)

• Strong analytical skills

• Excellent communication skills

Responsibilities:

• Set up, execute, and validate FEA simulations

• Perform structural, thermal, and dynamic analyses

• Analyze and post-process simulation results

• Build simulation pipelines for design of experiments

• Prepare technical reports and presentations

Benefits:

• Equity options

• 5% 401(k) match

• Flexible working

• Enhanced parental leave

• Private healthcare

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Solid foundation in software engineering

• API design

• Deploying applications to production

• Full stack breadth

Other Requirements:

• Proactive and high ownership

• Solution-focussed and customer-obsessed

• Right to Work status required

Responsibilities:

• Collaborate with data scientists and ML engineers to ship models

• E2E application design and low-lift prototyping

• Build and maintain RESTful APIs (FastAPI) and microservices in Python

• Deploy applications to the cloud (Helm, K8s, Terraform, AWS/Azure)

• Develop fundamental platform components

Benefits:

• Equity options

• 10% employer pension contribution

• Free office lunches

• Flexible working

• Private healthcare

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Solid foundation in software engineering

• API design

• Deploying applications to production

• Solving complex engineering problems

Other Requirements:

• Proactivity and high ownership

• Solution-focussed

• Right to Work status required

Responsibilities:

• Collaborate with cross-functional teams to ship physics models

• E2E application design and user feedback iteration

• Backend development (FastAPI/Python/Microservices)

• Deploy applications using Helm, Kubernetes, Terraform

• Distill complex solutions into fundamental components