Benefits:

• Flexible working hours

• Stock options

• Team building

• Remote work allowance

• On-site gym

Experience Requirements:

• > 4 years of experience

• At least 5 years of experience in enterprise software sales

• Proven track record of selling high-value (>100 K€) ARR deals

• Experience using modern AI-enabled prospecting and CRM tools

Other Requirements:

• Fluent in German and English

• Valid EU work permit

• Able to travel to Paris HQ at least once per month

Responsibilities:

• Drive pipeline generation

• Lead qualification and demos

• Develop trusted advisor relationships with GenAI and cybersecurity leaders

• Manage complex deal cycles

• Provide structured feedback to the product team

Benefits:

• Flexible working hours

• Stock purchase plan / Stock options

• Team building

• Remote work allowance

• On-site gym

Experience Requirements:

• > 4 years of experience

• At least 5 years of experience in enterprise software sales

• Proven track record of selling high-value (>100 K€) ARR deals

• Experience using modern AI-enabled prospecting and CRM tools

Other Requirements:

• Fluent in English and another European language

• Valid EU work permit

• Able to travel to Paris HQ at least once per month

Responsibilities:

• Drive pipeline generation

• Lead qualification and demos

• Develop trusted advisor relationships with GenAI and cybersecurity leaders

• Manage complex deal cycles

• Provide structured feedback to the product team

Benefits:

• Flexible working hours

• Stock purchase plan / Stock options

• Team building

• Remote work allowance

• On-site gym

Education Requirements:

• Formal training in business development / sales development techniques

Experience Requirements:

• > 2 years of experience

• 2–5 years of experience in a BDR or SDR role in an Enterprise B2B startup

• Hands-on experience using AI-powered qualification tools

• Experience with CRM systems (HubSpot, Salesforce)

Other Requirements:

• Fluent in English and another European language

• Based in Paris

• Valid EU work permit

• Creative communication skills

Responsibilities:

• Generate pipeline and book meetings

• Run high-quality multi-channel outbound sequences

• Cold calling & live discovery conversations

• Master AI qualification tools and sales automation platforms

• Collaborate with Sales & Product Marketing

Experience Requirements:

• 4+ years of experience in digital marketing or social media

• Strong writing and editing skills

• Proven experience building and managing social media platforms

• Experience managing social media calendars and publishing tools

• Experience with Marketing Cloud and Sales Cloud

Other Requirements:

• Proactive, ownership-driven mindset

• High attention to detail

• Familiarity with design tools

• Experience with paid advertising

Responsibilities:

• Develop high-quality content for digital and print

• Manage social media content calendars and posting schedules

• Grow social media presence through engagement

• Support planning and execution of digital campaigns

• Execute email marketing and automation initiatives

Education Requirements:

• PhD or more

Experience Requirements:

• > 3 years

Other Requirements:

• Strong ML foundations (probability, linear algebra, optimization)

• Proficient in Python + PyTorch

• Strong communication and scientific rigor

• Motivation to make a real impact in healthcare

Responsibilities:

• Design and scale visual representations from large de-identified 2D/3D datasets

• Adapt and optimize models powering Gleamer’s clinical features

• Fine-tune encoders + LLMs for report generation and extraction

• Inference optimization (Docker, ONNX, TensorRT, batching)

• Contribute across pretraining and fine-tuning stacks

Benefits:

• Stock purchase plan / Stock options

• Free food & snacks

• Afterworks, Team lunches

• Partners with Nonprofits

• Competitive salary

Education Requirements:

• MS or PhD in Computer Science, Machine Learning or related fields

Other Requirements:

• Proficient in Python, Rust or C/C++

• Experience in GPU programming (CUDA, Open AI Triton, Metal)

• Experience in model compression and quantization techniques

• Collaborative mindset

• Strong communication and presentation skills

Responsibilities:

• Develop scalable, low-latency and cost effective inference pipelines

• Optimize model performance (memory usage, throughput, and latency)

• Develop specialized GPU kernels for performance-critical tasks

• Collaborate with research teams on model architectures

• Implement state-of-the-art inference techniques

Benefits:

• Flexible working hours

• Food service or stocked kitchen

• Stock purchase plan / Stock options

• Team building

• Afterworks, Team lunches

Other Requirements:

• Fast-moving, product-minded full-stack engineer

• Autonomous and drive projects to completion

• Tech stack: Python, OpenAI API, Pytorch, Hugging Face, PostgreSQL, GCP, Poetry

• Forward-thinking regarding AI potential

Responsibilities:

• Design and implement end-to-end AI features for HR agents

• Test, fine-tune, and evaluate cutting-edge models

• Build frameworks to measure accuracy, reliability, and bias

• Work on latency, caching, and cost-optimization strategies

• Ensure AI features meet enterprise standards for privacy and fairness

Benefits:

• Health care plan: Alan (50% employer)

• Luncheon voucher: 9€ (50% employer)

• Transport: 50% pass or sustainable mobility pass

• Stock option (BSPCEs)

• Regular team events

Education Requirements:

• Master's degree in Biostatistics, Statistics, Data Science, or related field (Ph.D. preferred)

Experience Requirements:

• Proven experience in Real-World Evidence (RWE) and Advanced Survival Analysis

• Experience working with large-scale administrative claims databases (SNDS/PMSI)

Other Requirements:

• Expert-level skills in SQL and R or Python

• Ability to design and draft formal SAP and SAR

• Fluent in both English and French

• Strong sense of responsibility and rigor

Responsibilities:

• Lead the end-to-end biostatistical process from SAP to SAR

• Execute robust statistical analyses on longitudinal datasets

• Evaluate clinical and healthcare resource utilization metrics

• Provide statistical foundation for peer-reviewed publications

• Collaborate with the Data Science team

Benefits:

• Employee Resource Groups (ERG)

• Paid volunteer time

• Reduction of working time (RTT)

• Flexible work options (home/office)

Experience Requirements:

• 5+ year experience minimum in manufacturing/supply chain functions

• 3+ years of experience with Python

Other Requirements:

• Track record of scoping and managing data-science projects

• Experience developing WebApps (Javascript, Dash or RShiny)

• Ability to work in a global, distributed team

• Knowledge of Agentic AI, Generative AI, or knowledge graphs is a plus

Responsibilities:

• Build a strong Solutions roadmap for Manufacturing and Supply Chain

• Own the building and delivery of solutions from ideation to packaging

• Participate in the initial roll-out of Solutions (demos, implementation)

• Act as a go-to-person on Data Science Manufacturing and Supply Chain

• Support overall solutions engineering roadmap and technical research

Education Requirements:

• Bachelor’s Degree in technology or management

Experience Requirements:

• 8+ Years

• 4+ years’ experience in the banking and financial services, Insurance or healthcare verticals

Other Requirements:

• Experience in business process design or intelligent automation

• Industry knowledge in Digital Transformation Initiatives

Responsibilities:

• Lead Program Management across all phases of engagement

• Implement Skan customer success model and value management methodologies

• Own Skan ROI and business outcome reporting

• Manage all aspects of project delivery and risk management

• Develop deep expertise in Skan product technology

Benefits:

• Competitive OTE

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Education Requirements:

• BS in Business Administration, Operations, Engineering, or related field

Experience Requirements:

• At least 5 years of related work experience

• Deep experience selling in fulfillment warehouses

• Proven track record of achieving and exceeding sales targets

Other Requirements:

• 50% Travel required

• Strong network in fulfillment warehouses

Responsibilities:

• Work with Sales Leadership to size and position robotic solutions

• Develop and grow a strong pipeline of qualified opportunities

• Drive and manage the entire sales cycle

• Collaborate internally with solutions, marketing, and product teams

• Lead and drive expansion of systems at early-stage customer sites

Benefits:

• Base pay between $200k and $230k

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Education Requirements:

• PhD or MS in Computer Science, Robotics, Electrical Engineering, or related field

• BS in related field

Experience Requirements:

• 8+ years of relevant experience with PhD or MS

• 10+ years of relevant experience with BS

• 3+ years of experience leading and managing technical teams

• Proven track record of shipping perception systems

Other Requirements:

• Deep expertise in computer vision

• Strong foundation in machine learning

Responsibilities:

• Lead the perception team in developing state-of-the-art systems

• Define and execute the technical roadmap for perception capabilities

• Sensor & compute selection, validation & integration

• Build, mentor, and grow a high-performing team

• Collaborate with robotics, planning, and controls teams

Benefits:

• Base pay between $130,000 and $160,000

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Education Requirements:

• Bachelor's degree in engineering, computer science or equivalent

Experience Requirements:

• 1-3 years of expertise in embedded software (C and C++)

• Proficient experience with microcontrollers (STM32 family)

• Proven track record in bare metal embedded systems

• Experience debugging embedded systems with scopes and logic analyzers

Other Requirements:

• Experience reading PCB schematics

• Familiarity with communication protocols (USB, I2C, SPI, etc.)

Responsibilities:

• Design, development, and maintenance of embedded system firmware

• Collaborate with the team on firmware architecture

• Write well-tested, readable, and maintainable code

• Engage with cross-functional members to enhance performance

• Generate design documentation and lead code reviews

Benefits:

• Base pay between $130,000 and $160,000

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Education Requirements:

• BS in Mechanical Engineering or equivalent

Experience Requirements:

• Experience with Solidworks & PDM

• Experience working with robotic or mechatronic systems

• Experience working with and managing vendors

Other Requirements:

• Ability to work independently

Responsibilities:

• Work with the mechanical team on next generation design

• Design and manage components across the HW lifecycle

• Engage cross-functionally with electrical and software teams

• Propose and resolve issues with current robot systems

• Rapidly iterate on design by building quick prototypes

Benefits:

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Experience Requirements:

• 4+ years of troubleshooting and debugging experience with robotics

• Experience with basic system administration and network configuration

• Experience with relational databases and SQL

Other Requirements:

• Able to travel on short notice up to 80%

• Physical ability to lift up to 50 lbs

• Comfort with electrical and mechanical tools

Responsibilities:

• Work with customers to deploy and support robotic fleets

• Provide detailed training to customer teams onsite

• Commission, test, and debug robotic systems

• Conduct routine and incident maintenance

• Maintain records of service calls, training, and expenses

Benefits:

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Experience Requirements:

• 1-2 years of experience in test automation or robotics

• Proficiency in Python or C++

Other Requirements:

• Familiarity with Linux-based development

• Comfort with robotics experimentation

Responsibilities:

• Design and maintain automated test pipelines

• Collect and process log data to assess system behavior

• Develop and execute experiments in simulation and on hardware

• Execute test plans for system-level validation

• Improve test observability through metrics and dashboards

Benefits:

• Base pay between $170,000 and $200,000

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Experience Requirements:

• 5+ years in safety systems engineering (preferably AMRs)

• Proficiency in safety analysis tools (FTA, FMEA, FMEDA)

• Experience with AMR safety standards (R15.08, ISO 3691-4)

Other Requirements:

• Knowledge of safety standards

Responsibilities:

• Own the safety and compliance roadmap

• Lead testing against safety standards

• Develop and manage system safety requirements

• Produce safety case reports and certification documentation

• Maintain traceability of safety requirements

Benefits:

• Base pay between $150,000 and $200,000

• Stock options

• Medical, Dental, and Vision coverage

• Flexible vacation and sick leave practices

• Paid parental leave

Experience Requirements:

• 7+ years of experience in manufacturing or production test engineering

• Proficiency in Python, C/C++, LabVIEW, or TestStand

• Strong experience with test design and development

Other Requirements:

• Solid understanding of mechatronic systems

• CAD experience and fixture design

Responsibilities:

• Lead the specification and validation of manufacturing tests

• Drive test yield improvement and defect reduction

• Own test hardware and software from concept through production

• Develop test documentation including test plans

• Interface with contract manufacturers and vendors

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Education Requirements:

• BS, MS, or PhD in AI, Computer Science, or a related field

Experience Requirements:

• At least 2-3 years of industry experience

• Experience with transformer architectures

• Familiarity with cross-attention, token fusion, or modality alignment

• Proficiency in Python and deep learning frameworks

• Understanding of scalable training for large models

Other Requirements:

• Passion for building AI that reasons over sensory input

Responsibilities:

• Design and develop multimodal transformer architectures

• Research and implement cross-modal attention mechanisms

• Build scalable training pipelines for large-scale multimodal transformers

• Explore self-supervised and contrastive pretraining objectives

• Optimize transformer models for real-time inference

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Experience Requirements:

• 5+ years of experience in manufacturing

• Experience with automotive or aerospace electrical harness manufacturing

Other Requirements:

• Ability to identify root cause and lead solutions

• Ability to manage multiple components

• Experience launching manufacturing facilities

• Strong communication and organizational skills

Responsibilities:

• Establish electrical/electromechanical manufacturing best practices

• Own and manage electrical issues related to manufacturing

• Own automotive harness manufacturing supplier base

• Collaborate on manufacturing test equipment specification

• Collaborate on vehicle harness routing and assembly strategies