Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Education Requirements:

• Masters in Computer Sciences preferred

Experience Requirements:

• 4-6 years of professional experience

Other Requirements:

• Self motivated, hard working and proactive

• High levels of operational process and task execution competence with organized and hands-on approach

• Detail oriented

Responsibilities:

• Integration of user-facing elements developed by a front-end developers with server side logic

• Build robust and scalable software in Ruby, Scala, and/or Java

• Design and create services and system architecture for your projects, and contribute and provide feedback to other team members

• Help improve our code quality through writing unit tests, automation and performing code reviews

• Building reusable code and libraries for future use

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

• 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

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

Benefits:

• Work on cutting-edge technology in ambitious research projects

• Thrive in a dynamic company that values new ideas and innovation

• Contribute to impactful projects across various high-growth sectors

Education Requirements:

• Advanced degree in computer science, data science, or artificial intelligence

Experience Requirements:

• Experience in applied AI research

Other Requirements:

• Strong algorithmic skills and experience in data analysis

• Solid foundation in machine learning and deep learning concepts

• Experience using and customizing large language models (LLMs) for specific applications

• Proficiency in programming languages and tools: Python, ML libraries (TensorFlow, PyTorch), and data science tools (Pandas, NumPy)

• Ability to document work thoroughly and produce scientific reports or publications

• Curiosity, analytical mindset, and scientific rigor

Responsibilities:

• Research and Development

• Development and Implementation

• Algorithmic Skills

• Data Manipulation and Analysis

• Documentation and Publication

Benefits:

• Be part of a high-growth company that places innovation and client satisfaction at the heart of its strategy

• Work in a collaborative, dynamic environment that supports personal and professional development

• Have the opportunity to work with cutting-edge technology solutions that are transforming businesses

Education Requirements:

• Degree in Business, Marketing, or Engineering

Experience Requirements:

• Proven experience in B2B sales, preferably in technology or artificial intelligence

Other Requirements:

• Excellent communication and negotiation skills

• Familiarity with complex sales cycles and corporate decision-making processes

• Ability to work independently while demonstrating strong teamwork skills

• Highly organized, proactive, and able to manage multiple projects simultaneously

• Proficiency with CRM tools and sales reporting

Responsibilities:

• Prospecting and Business Development

• Client Relationship Management

• Presentations and Demonstrations

• Negotiation and Closing

• Market Analysis

Education Requirements:

• Computer science education or equivalent experience

Experience Requirements:

• 7+ years experience

• 2+ years experience in a leadership role with current technical experience

Other Requirements:

• Ability to use SCM(Source Code Management ) such as GitHub, GitLab

• Exquisite brokering skills, regularly achieve consensus amongst departments

• In-depth technical experience in at least one of the core languages, frameworks, or technologies used by your team

• Excellent written and verbal communication skills

Responsibilities:

• Responsible for the growth of the team

• Run agile project management processes

• Provide guidance and coaching to team members on technical contributions, product architecture, and other areas

• Maintain empathy for the team by keeping awareness of engineering processes and practices e.g. evaluating individual work during one on ones, conducting code reviews, or working on non-critical path bugs and/or features

• Create a safe environment for the members to work

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 3 - 7 years in a similar role within an international / B2B SaaS company

• Proven experience in Enterprise Customer Success, including track record of attaining targets

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

• Familiarity with Value Selling and ability to do deep discovery with customers

Other Requirements:

• Detail-oriented mindset with a focus on continuous improvement and operational excellence

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth and Expansion

• Performance Tracking

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 5-7 years+ in a similar role within a B2B SaaS company.

• Proven experience working with larger enterprise customers, including a track record of attaining and exceeding targets

• Interest in generative AI for knowledge workers at Enterprise scale

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

Other Requirements:

• Familiarity with Value Selling and ability to do deep discovery with customers

• Demonstrated project management experience, including planning, execution, and stakeholder management

• Detail-oriented mindset with a focus on continuous improvement and operational excellence. Curiosity and grit.

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven, and Make it Happen

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth, Expansion, and Risk

• Performance Tracking

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 8+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 6 years.

• 1+ years of management experience

Other Requirements:

• You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

• You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker.

• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).

• You are proficient in Python.

• You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.

• You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods.

• You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

Responsibilities:

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.

• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.

• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement.