Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты на основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Education Requirements:

• Bachelor’s degree in Software Engineering, Computer Science, or a related technical field, or equivalent experience.

Experience Requirements:

• 8+ years of software development and deployment experience, preferably in a defence or related industry.

Other Requirements:

• Eligible for Government of Canada Top Secret security clearance.

Responsibilities:

• Travel to customer and partner sites to participate in requirements gathering, software deployment, integration testing, and hands-on support with end-users.

• Work directly with stakeholders, including defense contractors and military personnel, to ensure solutions align with operational requirements.

• Build and manage containerized applications using Docker, Docker Compose, and Kubernetes/OpenShift.

• Deploy, secure, and monitor Linux-based containerized applications, services, and machine learning models in both cloud-hosted and on-premise networks.

• Streamline software installation processes, configurations, and documentation for repeatable, high-quality deployments.

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Education Requirements:

• bachelor’s degree

Experience Requirements:

• two to five years of inside sales / telemarketing experience delivering quality CXO (CEO, CFO, CIO, etc.) business leads to highly motivated enterprise sales executives, and managing existing CXO relationships.

• Some expertise in industrial value chain operations (supply chain, maintenance, military, manufacturing, field services) is expected.

Benefits:

• Lunch vouchers (approx. 200€/month)

• An allowance of 360 euros/year for your sports activities

• An allowance of 300 euros for the adaptation of your workstation

• A health insurance (100% coverage) and a pension contract with Alan Blue for you & your family

• Unlimited vacation policy

Experience Requirements:

• 3 to 6 years experience in recruitment, ideally in a high-growth tech startup or a scaling environment, with a proven track record of hiring for engineering and product roles.

Other Requirements:

• Fluency in both English and French

• A sourcing expert: you know how to find and engage top talent through outbound strategies, automation, and referrals.

• A true business partner, with strong communication and stakeholder management skills, capable of influencing hiring decisions and working closely with leadership.

• Data-driven: you analyze hiring funnels, track key recruitment metrics, and optimize hiring strategies based on insights.

• Able to scale hiring operations, improve processes, and bring structure to recruitment while maintaining hiring speed and quality.

Responsibilities:

• Drive full-cycle recruiting, primarily for the Tech & Product Team, by sourcing, engaging, maintaining, and closing a strong candidate pipeline for all open positions.

• Proactively source passive talent using sourcing tools, automation, and innovative engagement methods to attract top candidates.

• Leverage automation to maximize efficiency: implement sourcing automation, nurture campaigns, and AI-powered screening to optimize the hiring process.

• Analyze and iterate: assess hiring funnel performance, identify bottlenecks, and continuously improve speed and quality.

• Partner with hiring managers to develop sourcing strategies, refine role positioning, and make data-driven hiring decisions, ensuring strong communication throughout the search. Train leadership and hiring managers to standardize hiring decisions and assess talent effectively. Ensure an exceptional candidate experience by maintaining clear communication and strengthening Gladia’s employer brand. Be data-driven: track key hiring metrics, optimize recruitment strategies, and drive process improvements. Enhance Gladia’s employer brand, boosting visibility in the talent market and positioning Gladia as a top employer in tech

Experience Requirements:

• Have 3+ years of full stack web development experience with React, Node.js and TypeScript

• Are familiar with managing and evolving relational database schemas

• Have a strong desire to pair program

• Are familiar with GCP, AWS, or an equivalent cloud platform

• Have excellent communication skills, and are enthusiastic about collaborating on cross-functional teams

Responsibilities:

• Work with product management and product design roles to understand and empathize with customer needs

• Build product prototypes to understand market viability and effectiveness

• Work with product designers to build pixel perfect software that will delight customers

• Work with data scientists and AI/ML engineers to integrate and implement machine learning models into real world production environments

• Monitor the performance and adoption of what’s built to ensure we are headed in the right direction

Education Requirements:

• Ph.D. in Computer Science

Experience Requirements:

• at least eight years of relevant, full-time industry experience

Responsibilities:

• Lead and contribute to groundbreaking research in Generative AI, focusing on natural language understanding, dialogue generation, and context-aware conversational systems

• Develop novel algorithms and models for enhancing the performance and intelligence of our conversational AI platform

• Train and fine-tune large-scale deep learning models for natural language processing and dialogue generation

• Collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to integrate research findings into our products and solutions

• Provide mentorship and guidance to junior researchers and engineers, fostering a culture of learning and innovation

Benefits:

• Competitive compensation and stock options

• Excellent health and extended health coverage

• Four weeks of paid vacation

• Passionate and mission-driven team

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• Minimum 2 years of experience in sales, sales operations, business analysis, GTM strategy, consulting, or a related role, preferably in B2B SaaS or healthcare technology

• Execution-oriented with knowledge and experience with using project management concepts, tools, and best practices.

Other Requirements:

• Excellent written and oral communication skills including an ability to produce emails, memos and decks targeted at senior executives

• Critical thinker with a willingness and ability to creatively solve a broad set of business challenges

• Excellent cross-functional collaboration skills

• Strong organizational skills with the ability to manage competing priorities

• Knowledge of health tech regulations (HIPAA, ISO 13485, etc.) is an asset

• Experience with healthcare enterprise sales and an understanding of the hospital buying process is an asset

• Understanding of AI and AI-based software solutions is an asset

Responsibilities:

• Research and synthesize customer and market insights to inform local sales efforts, qualify prospects, and suggest marketing and customer engagement strategies.

• Support sales activities including sales meeting preparation and follow-ups, and overall account planning.

• Assist with the development and implementation of lead scoring and qualification frameworks to prioritize sales efforts effectively.

• Coordinate the ongoing collection and systematic analysis of market feedback and support the application of that feedback toward refinements to Signal 1’s GTM marketing, sales, product, and delivery strategies.

• Maintain, oversee and expand usage of Signal 1’s CRM, including the development and maintenance of dashboards that track sales pipelines, conversion rates, deal velocity, and surface market insights.

Benefits:

• Free in-office snacks, beverages, hot drinks, and salads.

• Free team lunch every Wednesday.

• Free in-office physical therapy sessions.

• Quarterly team-building event.

• Career development training.

Responsibilities:

• Work closely with the Product team for all the related aspects regarding the Data Intelligence platform.

• Work closely with the CTO for all the backend/ETL-related developments and improvements.

• Take charge of the design and development of data pipeline architectures based on the Cloud.

• Monitor our data pipelines, bringing automation and alert management into the picture.

• Support design and delivery of CI/CD pipelines in cooperation with Software and QA teams.

Experience Requirements:

• 4 years of experience in sales

• Experience in SaaS or tech solutions

• Experience with B2B clients

Responsibilities:

• Prospecting: Identifying, contacting, and converting potential clients.

• Pipeline Management: Owning the sales pipeline, ensuring consistent follow-ups, and negotiating deals that align with Aiba.ai’s goals.

• Sales Pitches: Delivering compelling pitches that demonstrate the value of Aiba.ai’s products.

• Closing Deals: Negotiating contracts and closing deals that meet and exceed client needs.

• Account Management: Developing and maintaining relationships with clients, focusing on retention and growth.

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.

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

Education Requirements:

• Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics

Experience Requirements:

• Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools.

• Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks.

• Strong skills in software engineering (use of Git, production-ready code.)

• Strong written & oral communication skills in English.

• Bonus 1: open-source contributions are highly valued. Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus.

Other Requirements:

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

Responsibilities:

• Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform

• Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.

• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.

• Push the frontier of AI Safety & Security research with a focus on tools for real-life applications.

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Experience Requirements:

• 4+ years of hands-on experience in AI engineering, particularly in areas of LLMs and AI agents

• Strong skills in the Python AI stack, in particular Hugging Face, PyTorch, and LLM development frameworks.

• Knowledge of AI Security, testing methodologies, and AI system evaluation

• Proven track record of creating technical content (articles, tutorials, videos)

• Proven track record of successful community building or developer relations

Other Requirements:

• Fluent English required, French is a plus

• Quick learner with proactive attitude and the ability to work autonomously

• Bonus 1: Experience with developer tools and platforms (Git, CI/CD, cloud platforms)

• Bonus 2: Experience with open-source communities and projects

Responsibilities:

• Content creation

• Community Engagement

• Product Documentation

• Product Marketing Support

Benefits:

• Participation in the company’s employee share options plan

• 25 days holiday, plus bank holidays

• Flexible working from home policy plus a one-off WFH allowance when you join

• Work from outside of the UK for up to 6 months each year

• Enhanced parental leave 🚲 Bike2Work scheme 📚 Annual learning and development allowance [👨‍👩‍👧](https://emojipedia.org/family-man-woman-girl/) Company-funded fertility and family-forming programmes [🌸](https://emojipedia.org/cherry-blossom/) Menopause care programme with Maven 🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Education Requirements:

• A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience

Experience Requirements:

• 3+ years of experience working with deep learning and statistical models

Responsibilities:

• Train models and conduct experiments to assess model performance in live deployments

• Work on experimental model architectures, exploring multimodal, efficient long-context etc.

• Develop post-training strategies to achieve state of the art performance on domain-specific tasks

• Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data

• Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies