Experience Requirements:

• 3+ years of experience in sales, preferably in enterprise or consultative selling, with a focus on complex, technical SaaS products.

• Strong academic background with a Bachelor’s or Master’s degree in Business, Computer Science, or a related field.

• Solid technical skills to keep up with rapidly evolving products and effectively engage in technical discussions.

• Fluency in both English and French; proficiency in additional languages is a plus.

• Exceptional negotiation and communication abilities

Responsibilities:

• Lead Generation Outbound Outreach

• Trial Conversion

• Deal closing

• Alliance Partner Ecosystem Development

• Executive Engagement & Relationship Building

Experience Requirements:

• 3+ years of professional full-stack software development experience

• Proven track record of designing and developing full-stack web solutions for complex problems.

• Strong hands-on experience with a common front-end framework; experience with Svelte preferred.

• A can-do attitude and demonstrated end-to-end ownership of projects.

• Excellent verbal and written communication skills in English; you’ll need to communicate your ideas to customers and product managers

Responsibilities:

• Design and develop user-facing applications to interact with our AI, teach it new tricks, or configure it.

• Develop integrations with 3rd party tools (e.g., CMS, CRM, etc.)

• Contribute to cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.

• Interface and communicate with customers to communicate Autodm AI’s value proposition through content and demos, or provide hands-on assistance.

• Help grow a diverse and stellar team

Education Requirements:

• Bachelor's degree or equivalent in IT, finance, or a related field

Experience Requirements:

• 6+ years of experience as a Business Analyst/Data Analyst in asset management

Other Requirements:

• Knowledge of Agile project management

• Experience with ESG data

• Proficiency in SQL

• Experience with Jira/Confluence and Power BI a plus

• Excel, VBA, or other programming language proficiency

• API Rest experience

Responsibilities:

• Business analysis: needs analysis, writing functional/technical specifications, testing

• Proposing improvements to applications

• Managing evolution and support in Agile mode with the development team

• Tracking ticket completion to production

• Updating internal documentation (data dictionary, mapping...)

Benefits:

• Equity

• Comprehensive health insurance

• Meal vouchers

• Sport subscription

• Unlimited access to books and online courses

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Plan d’actionnariat salarié

• Tickets restaurant

• Budget sport

• Mutuelle santé prise en charge à 100%

• Séminaires & formations professionnelles

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Equity Options

• Prime Office Location (Station F)

• Work Flexibility

• Medical Insurance

• Career Growth Opportunities (training, workshops, courses)

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Experience Requirements:

• Proven expertise in Full-Stack Development

• Proficiency in Front-End and Back-End Web Development

• Foundation in Data Science and AI Solutions

• Familiarity with Amazon Web Services (AWS) and Serverless Computing paradigms

Other Requirements:

• Exceptional problem-solving skills

• Attention to detail

• Autonomy

Responsibilities:

• Design, develop, and deploy full-stack solutions

• Collaborate on ideation, prototyping, and implementation of new functionalities

• Continuously learn and apply emerging technologies in AI, machine learning, and cloud services

• Maintain and improve code quality, organization, and automatization

Benefits:

• A multicultural environment that promotes a healthy work-life balance

• An attractive remuneration package

• 15 days of annual leave

• A talented team from all over the world to work with

• Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing);Flexible work-from-home/office arrangements in Singapore, or remote work

Experience Requirements:

• Experience with embedded development using RTOS and Espressif’s SDK

• Understanding of networking protocols: low-level (TCP, UDP, IP) and application-level (HTTP, DNS)

• Familiarity with hardware debugging tools, such as oscilloscopes and logic analyzers

Responsibilities:

• Analyze and optimize the performance of existing test benches, implementing changes as needed to maintain efficiency and reliability

Benefits:

• A multicultural environment that promotes a healthy work-life balance

• An attractive remuneration package

• 15 days of annual leave

• A talented team from all over the world to work with

• Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing);Flexible work-from-home/office arrangements in Singapore, or remote work

Experience Requirements:

• You have experience in writing working software in Ruby (Ruby on Rails)

• You have work experience with Scala (or Java, or Kotlin used for server-side applications)

• You are passionate about high-quality software products

• Working as part of a team is important to you

• You are an effective communicator in English (written and verbal);You used SQL and you may even like it

Other Requirements:

• Hands-on experience with Kafka and stream processing

• Have an eye toward the future of IoT, home security, and home automation

• Familiarity with design patterns

• Hands-on experience with software operations: deployment, CI/CD pipelines, monitoring

• Hands-on experience with automated testing

• Understanding of web application vulnerabilities and security

• Understanding of networking protocols: low-level (TCP, UDP, IP) and application-level (HTTP, DNS, DNSSD)

• Familiarity with public-key cryptography and infrastructure

• You know your way around Linux

Responsibilities:

• Design, develop, and maintain our cloud system with the focus on availability, security, low latency

• Design and implement automated software tests

• Collaborate closely with firmware and mobile developers to deliver a great experience to our customers

• Take responsibility for the operations of the software in production

• Improve and clean up our codebase whenever there is an opportunity;Squash software bugs

Education Requirements:

• PhD in Mathematics and/or Computer Science

Experience Requirements:

• Experience in applying deep learning to computer vision

Other Requirements:

• Proficiency with PyTorch or similar deep learning framework

• Thorough understanding of state-of-the-art deep learning methods

• Extensive experience with Python

• Familiarity with software engineering best practices

• Analytical and scientific mindset

• Good communication skills

• Driven to solve medical problems

• Passionate about deep learning research

Responsibilities:

• Improve deep learning models

• Contribute to internal deep learning framework

• Deploy models into production

• Expand the range of tasks tackled with deep learning

• Research state-of-the-art methods

Education Requirements:

• Master's Degree

Other Requirements:

• Last year of studies (Bac+5/Master)

• Good command of Python and/or Java

• Scientific rigor and critical eye

• Good communication skills

• Strong interest in the medical field (knowledge of medical imaging/Dicom standard is a plus)

• Knowledge of databases

• Good level of English

Responsibilities:

• Ensure the quality and monitoring of annotations

• Participate in the reflection on annotation strategies and tools used

• Participate in the creation of datasets and reflection on the performance of AI algorithms

• Ensure the training of labelers

• Enrich natural language processing methods to optimize annotation

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product