Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Experience Requirements:

• Minimum of 3 years' experience in Customer Success or Consulting roles.

• Demonstrated project management skills within large organizations and handling various technical stakeholders.

• Experience managing AI projects, ideally involving Large Language Models.

• Outstanding communication skills in both English and French, in written and verbal form.

• Bonus: experience in early-stage startups (<50 employees). Bonus: proficiency in German.

Other Requirements:

• We are hiring people located in France or willing to relocate.

• You must have an EU work permit and you must speak French.

Responsibilities:

• Help customers use our product successfully to make their LLM Agents more secure & reliable

• Coordinate with key decision-makers among our customers, from initial product evaluation and onboarding, to continuous usage and renewals

• Act as the bridge between our customers and Giskard's Product and R&D team

• Support Giskard's sales & marketing team with customer stories and hands-on product knowledge

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Experience Requirements:

• Minimum of 5 full years of work experience in software sales at fast-growing B2B tech companies, carrying quotas and focused on hunting.

• Experience with long sales cycles (6-12 months) and navigating large enterprises procurement processes.

• Proven track record of consistent performance and quotas attainment. You must have sold recurrent 6-7 figures yearly deals, on a regular basis, across EMEA.

• Comfortable engaging in technical discussions with Gen AI engineering teams.

• Excellent verbal and written communication skills in English (fluent) and French (at least professional proficiency). Bonus points for experience with revenue intelligence or developer intent tools.

Other Requirements:

• We are hiring people located in France or willing to relocate.

• You must have an EU work permit.

Responsibilities:

• drive pipeline generation by building and maintaining pipeline coverage to meet revenue goals.

• lead qualification and demos: deliver compelling product demonstrations and presentations tailored to the unique challenges of large enterprises while continuously educating them on the business value of Giskard's enterprise solution.

• develop trusted advisor relationships with Gen AI leaders and experts ensuring they understand the depth of Giskard's value proposition.

• manage complex deal cycles, often involving multi-stakeholder procurement processes, security reviews, and legal negotiations.

• provide feedback to the product team, shaping the roadmap based on insights from the ground.

Experience Requirements:

• very good knowledge of Web APIs

• solid as a rock to develop full-stack applications in TypeScript

Benefits:

• 1 day of telecommuting per week + 1 week per semester

• All employees receive a 3,500€ allowance in 2024 that they can spend freely among all tax-exempt benefits available: meals, culture, mobility, sports...

• Annual vacation bonus

• PEE / Profit sharing and participation

• 5 days of skills sponsorship

Experience Requirements:

• 2 to 4 years of experience in a similar position

• Experience in a media agency or advertising agency is essential

• Very good knowledge in the field of advertising

• Good knowledge of SaaS technologies and products and the digital, data and media ecosystem

• Excellent verbal and written communication skills

Other Requirements:

• Ability to build trusting relationships with clients, understand their needs and provide solutions.

• Organized and methodical

• Equipped with a commercial fiber to develop the turnover of clients

• Analytical and problem-solving skills.

• Ability to work in a team with technical and sales teams.

• Appetite for innovation and the development of AI

• Experience in project management

Responsibilities:

• Build strong relationships with clients (especially network heads and points of sale) by becoming their main point of contact

• Lead training sessions on the Ermes platform as well as on new market trends.

• Provide recommendations to optimize client performance.

• Closely monitor client performance and ensure that objectives are met.

• Present performance reports (quarterly, annual) and demonstrate the added value of Ermes during meetings with marketing departments.

Benefits:

• 1 day of telecommuting per week + 1 week per semester

• All employees benefit from a 3,500€ allowance that they can spend freely among all tax-exempt benefits available: meals, culture, mobility, sports...

• Annual vacation bonus

• PEE / Profit sharing and participation

• 5 days of skills sponsorship

Experience Requirements:

• More than 4 years of experience as a Sales Manager/Business Developer, with significant experience in digital (media agency, advertising agency, adtech, consulting agency, data provider, etc.), new business and with advertisers.

• Experience in selling media campaigns, audience segments or data management technologies is a plus.

• Good knowledge of the digital, media and data ecosystem and its technological environment.

• Commercial methods of discovery, reformulation, argumentation, negotiation and closing are no secret to you.

• Excellent communication and negotiation skills

Other Requirements:

• Proven ability to achieve and exceed sales targets

• Hunter temperament and real desire for new business. You don't shy away from anything and you have a taste for challenges. For you, objectives are made to be exceeded

Responsibilities:

• Identify and contact new prospects (advertisers, agencies, partners) in various sectors of activity (automotive, insurance, real estate, etc.)

• Manage the sales cycle, from initial contact to closing the sale

• Develop and maintain strong relationships with existing clients

• Ensure accurate reporting of your sales activity

• Represent the company and its offerings at any professional event that may be conducive to business development

Benefits:

• Choice-first organisation with a culture built around impact rather than hours

• 5 weeks of vacation

• Competitive salary & equity

• Latest MacBook

• Remote Office Upgrade budget to spend in your first year to ensure you have the best environment possible to work in

Experience Requirements:

• 3+ years as a hands-on engineer

Other Requirements:

• fluent with our stack (React, Typescript, Node.js, SQL)

• thrive in a dynamic and fast-changing environment

• curious, with an active technological watch

• sense of ownership and responsibility

Responsibilities:

• Collaborate closely with the team to design and implement features that prioritize real-world impact.

• Architect, develop, and maintain state-of-the-art services for data ingestion and provisioning, including metric APIs, third-party connector systems, scheduling services and others.

• Build intuitive and responsive data visualizations and insights using React to deliver exceptional user experiences.

• Ensure code performance, security, and reliability, adhering to best practices for scaling within a cloud environment (AWS, Node.js).

• Optimize systems for efficiency and maintainability, addressing bottlenecks and resolving issues.

Benefits:

• Work That Fits Your Life

• Learn, Grow, Lead

• Win Together

Experience Requirements:

• A keen eye for detail and a deep understanding of visual aesthetics.

• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• A proactive, solution-oriented approach and the ability to work independently in a fast-paced environment.

• Experience in Image Editing Software, such as Adobe Photoshop or Lightroom is a plus.

• Experience in Quality Control, ideally in a production or post-production environment related to medias is a bonus

Responsibilities:

• Image Quality Control: Act as the quality gatekeeper for all images produced by Veesual by reviewing and analyzing them at various stages of the production pipeline, ensuring they meet the highest standards of visual accuracy, aesthetic appeal, and align with clients' brand guidelines and specific needs. Identify any defects, inconsistencies, or areas requiring improvement, and develop a deep understanding of Veesual's clients' visual requirements.

• Problem Solving: Collaborate with R&D and Production teams to provide clear feedback on image quality issues, identify patterns, and implement solutions. Contribute to the continuous improvement of Veesual's image processing technologies and participate in cross-functional projects as needed, leveraging your image quality expertise

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• Proven experience as a Backend Engineer with a strong focus on Golang

Other Requirements:

• Familiarity with cloud-native technologies including container runtimes such as Docker and cluster schedulers such Kubernetes

• Deep understanding of RESTful APIs and microservices architecture

• Experience with cloud platforms (AWS, Azure, GCP) and related infrastructure services

• Proficiency in database management systems, both SQL and NoSQL

• Strong problem-solving skills

• Excellent collaboration and communication skills

• Familiarity with DevOps practices and CI/CD pipelines

• Entrepreneurial & start-up mindset

Responsibilities:

• Develop and optimize backend services using Golang

• Collaborate with AI developers

• Design and maintain APIs

• Implement and manage database solutions

• Monitor and optimize system performance

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Other Requirements:

• Proven experience in leading QA efforts across software development teams

• Expertise in both manual and automated testing

• Excellent programming skills in bash , Python, Golang

• Experience with Automation reporting tools such as Allure or similar

• Experience with CI/CD tools and practices (e.g., Jenkins, GitHub Actions)

• Ability to work closely with software teams

• Strong leadership skills

Responsibilities:

• Lead and develop QA strategy

• Ensure Key Performance Indicators (KPIs) are achievable

• Define CI Workflows

• Establish testing frameworks

• Generate automation test reports

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 5+ years of experience working at an Open Source operating system provider (RedHat, Canonical, SUSE) or a cloud provider managing operating system images and artifacts

Other Requirements:

• Strong expertise in CI/CD automation workflows and tools like Ansible

• In-depth knowledge of Linux kernel, custom driver builds, and toolchains

• Hands-on experience with bare-metal infrastructure deployment and optimization

• Experience with performance benchmarking, profiling, and low-level debugging techniques

• Proven ability to work with distributed teams

• Familiarity with security best practices in the context of operating system releases

• Strong collaborative mindset

• Excellent communication skills

• Proactive problem-solving skills and a strong sense of ownership

Responsibilities:

• Package and maintain FlexOS, FlexAI's optimized Linux distribution

• Ensure high standards of quality, security, and performance across operating system releases

• Automate CI/CD workflows using tools like Ansible

• Customize and manage Linux kernel and drivers for FlexOS

• Perform benchmarking, performance profiling, and low-level debugging

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 8+ years of experience as software engineer

Other Requirements:

• Expertise in front-end development using modern frameworks and technologies such as React, Vue.js, or Angular

• Strong understanding of UI/UX principles

• Proficiency in HTML, CSS, JavaScript/TypeScript, and other front-end tools

• Familiarity with backend development (Go, Python, Node.js, etc.) and fullstack environments

• Ability to take ownership of projects, make technical decisions

• Experience working in agile development teams

Responsibilities:

• Lead front-end development

• Choose the technical stack

• Collaborate across teams

• Fullstack responsibilities

• Maintain best practices

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• Proven experience as an AI Compiler Engineer, preferably in within the PyTorch ecosystem

Other Requirements:

• Demonstrated experience in compiler optimizations and principles

• Solid understanding of machine learning and deep learning concepts

• Proficiency in programming languages such as C, C++, Python, Go or Rust

• Experience with compiler optimization techniques and code generation for AI workloads

• Experience with compiler frameworks is highly desirable (LLVM, MLIR, TVM, etc)

• Experience with hardware / software co-design

• Knowledge of parallel computing architectures and vectorization

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Excellent oral and written communication skills in English

• Entrepreneur & start-up mindset

Responsibilities:

• Develop and optimize AI compiler techniques for improving the performance of deep learning/LLM models

• Define and build the infrastructure to measure and track compiler performance

• Collaborate with fellow engineers to design, develop, and debug AI models, tools, and libraries

• Contribute to the company's research and development efforts

• Participate in performance analysis, tuning, and debugging session

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field

Experience Requirements:

• 8+ years of experience in architectural modeling or simulation platforms, preferably with experience in AI or high-performance computing projects

Other Requirements:

• Strong understanding of system-level challenges in AI compute systems, including network bandwidth, memory, and thermal considerations

• Proficiency in C and C++ for high-performance SW development and Python for handling machine learning workloads and related tasks

• Hands-on experience in performance analysis, profiling tools, and model validation techniques

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Provide technical leadership and mentorship to junior software engineers

• Entrepreneurial mindset, adaptable to fast-paced, dynamic environments

Responsibilities:

• Design and develop architectural models for FlexAI's purpose-built AI compute systems

• Collaborate with hardware and software teams to define model requirements and design constraints

• Optimize architectural models for efficient execution

• Integrate workloads and the FlexAI software stack on top of architectural models

• Conduct performance analysis and profiling of architectural models

Benefits:

• Motivating salary

• Remote work & flexibility

• Flexible vacation policy

• Comprehensive health plan

• Food compensation

Education Requirements:

• Bac +5 in computer science/data

Experience Requirements:

• 3 years of experience in a similar position

Other Requirements:

• Experience in multi-project management

• Good customer relationship management

• Technical supervision and support of junior consultants

• Autonomy, proactivity, rigor, teamwork, pragmatism, and excellent interpersonal skills

• Ability to manage risks and problems, and be a source of proposals

• Fluent in French and English

• Knowledge of relational databases (MYSQL), data modeling and datamart

• Skills in REST APIs/Web services

• ETL (flows, APIs, WS, connectors…) for the creation of pipelines and data flows

• Knowledge of data modeling and segmentation/scoring tools (RFM, PMG…) and any experience in Datamining (structured or unstructured data)/Algo

• Cloud Datawarehouse (Bigquery, …), MDM or CDP, Loyalty, Marketing Automation and/or BI (Power BI, Qlik, Tableau Software, MicroStrategy…)

Responsibilities:

• Participating and leading design workshops

• Writing functional specifications and having them validated by the relevant stakeholders

• Defining the testing strategy

• Describing all the test cases to be performed

• Preparing datasets with the IT teams, running the tests and providing a progress report Participating in project committees that you will prepare for stakeholders (progress/arbitration/project risks/deadlines…) Analyzing and evaluating the technical feasibility of client requests and estimating the effort involved in client requests Setting up the technical and functional documentation for the solution Setting up Scal-e instances for our clients Coordinating the team of IT project managers and junior data engineers to define workload plans Collaborating with the R&D teams to implement new features for the tool: design, coding, front-end/back-end debugging

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• 3+ years of experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Experience Requirements:

• 3+ years of experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• build state-of-the art AI technologies

• interact closely with developers and product teams to build a technology which will have a direct impact on our users

• contribute to a strong mission where AI is key

• tackle real-world challenges and complex problems at the forefront of machine learning for materials science

• evolve in a growth-oriented environment where you will expand your expertise in a team of talented engineers dedicated to advancing machine learning for materials science

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Experience Requirements:

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• build state-of-the art AI technologies

• interact closely with developers and product teams to build a technology which will have a direct impact on our users

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• Experience developing state-of-the-art machine learning technologies

Experience Requirements:

• Experience developing state-of-the-art machine learning technologies

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building AI technologies which will directly impact a product

• Fast learner able to adapt to challenging environments

Responsibilities:

• build state-of-the art machine learning models

• interact closely with developers and product teams to build a technology which will have a direct impact on our users

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

Experience Requirements:

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science, Software Engineering or equivalent work experience

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Experience Requirements:

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Fast learner able to adapt to challenging environments

Responsibilities:

• be at the heart of the technology development

• contribute to a strong mission where software is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Experience Requirements:

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key