AI Jobs

Benefits:

• Build AI-powered applications that redefine user interactions

• Work at the intersection of conversational AI, UI/UX, and enterprise software

• Join a fast-growing team with a strong vision

• Take ownership of key projects

• Contribute to high-impact engineering decisions

Education Requirements:

• Degree in Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of professional full-stack development experience

Other Requirements:

• Strong hands-on experience with front-end frameworks

• Svelte experience is a plus

• Excellent communication skills in English

• Interest in Generative AI and experience integrating LLM APIs

• Familiarity with Agile development methodologies

Responsibilities:

• Design and develop user-facing applications that enhance AI interactions

• Build integrations with third-party platforms (e.g., CMS, CRM)

• Contribute to cross-team technical discussions on architecture and UI/UX

• Engage directly with customers to demonstrate Kleio’s capabilities

• Help grow a high-performing, diverse engineering team

Benefits:

• Shape Kleio’s product and culture

• Founding team member

• Direct impact on company success

Education Requirements:

• Degree in Computer Science, Math, or a related field

Experience Requirements:

• 5+ years of professional software development or implementation experience

• Experience with typed languages (TypeScript, Python, Java, etc.)

Other Requirements:

• Excellent communication skills in English

• Interest in Generative AI and familiarity with concepts such as RAG

• Experience integrating enterprise systems (CRM, ERP, CPQ)

• Familiarity with Agile development

Responsibilities:

• Collaborate directly with clients to translate requirements into technical solutions

• Integrate Kleio’s platform with client data and systems

• Configure and adapt the user interface to match client requirements

• Design and develop custom features and build data pipelines

• Lead technical design discussions spanning application architecture

Benefits:

• Work at the forefront of AI-driven sales technology

• Join a fast-growing company with strong industry traction

• Engage directly with enterprise clients and C-level decision-makers

• Take ownership and drive impact in a high-autonomy role

Education Requirements:

• Bachelor's or Master’s degree in Business, Computer Science, or a related field

Experience Requirements:

• 3+ years of experience in enterprise sales, preferably in complex SaaS

• Experience in a high-growth startup environment

Other Requirements:

• Fluency in both English and French

• Strong ability to understand and sell technical solutions

• Excellent negotiation and communication skills

• Understanding of AI technologies and their business applications

Responsibilities:

• Lead Generation & Outbound Outreach through targeted efforts

• Guide potential customers through live product trials for conversion

• Develop and execute sales strategies to convert leads into customers

• Identify and nurture relationships with key industry partners

• Build strong relationships with C-level executives and decision-makers

Benefits:

• Founding member shaping company culture

• Shaping the future of digital conversations

• Work in a highly collaborative environment

Education Requirements:

• Degree in Computer Science, Math, or a similar quantitative field

Experience Requirements:

• 5+ years of professional software development experience

Other Requirements:

• Experience with typed languages (TypeScript, Python + Pydantic, Java, etc.)

• Strong understanding of data structures, algorithms, and DRY code

• Excellent verbal and written communication skills in English

• Demonstrated interest in Generative AI technology (e.g., RAG)

• Practice of Agile development methodology

Responsibilities:

• Design and implement robust software engineering solutions and frameworks

• Implement and enhance engineering best practices company-wide

• Work with data scientists to implement the latest AI model approaches

• Lead cross-team technical design discussions on application architecture

• Manage project deliverables and mentor junior team members

Benefits:

• Opportunity to join a fast-growing team in AI innovation

• Stimulating and collaborative work environment

• Exciting technical challenges with cutting-edge technologies

Education Requirements:

• Engineering Degree (Master level)

Experience Requirements:

• Proficiency in Python backend development

• Experience with API design and implementation (FastAPI, Flask or Django)

• Mastery of Docker in daily usage

• Experience with various database systems (SQL, NoSQL, PostgreSQL) and ORMs

• Experience with messaging queues/Pub/Sub systems

Other Requirements:

• Knowledge of OAuth2 and JWT Protocol

• AI Assisted development experience

• Excellent analytical and problem-solving skills

• Strong communication skills

• Ability to work independently and take initiative

Responsibilities:

• Design, develop, and optimize high-performance backend services using Python and FastAPI

• Manage and deploy applications using Docker and Terraform across cloud environments

• Design and implement efficient data storage solutions using PostgreSQL and NoSQL

• Implement and manage monitoring systems using Prometheus, Grafana, and ELK stack

• Conduct code reviews and foster a culture of technical excellence

Benefits:

• Founding member opportunity

• Work at the intersection of AI and law

• Competitive package

• Professional growth opportunities

• Flexible work arrangements

Experience Requirements:

• 2+ years in onboarding or customer success (B2B SaaS)

• Ability to manage complex customer relationships

• Proactive and empathetic communicator

• Bilingual proficiency in French and English

• Ability to work in a high-growth startup

Other Requirements:

• Passion for AI-powered legal solutions

• Experience developing processes from scratch

• Willingness to become an expert in patent workflows

Responsibilities:

• Build deep trust with patent professionals

• Drive onboarding, training, and enablement

• Monitor customer engagement and proactively address churn

• Advocate for customer needs to product teams

• Develop scalable CSM playbooks and resources

Benefits:

• Fast-paced, evolving environment

• Collaborative startup culture

• Opportunity to scale a support function

Experience Requirements:

• Minimum 2 years in B2B SaaS customer support

• Bilingual fluency in French and English

• Strong experience with support tools (Intercom, Zendesk)

• Ability to manage multiple tickets and deadlines

• Solution-oriented and autonomous

Other Requirements:

• Empathy and customer focus

• Experience in AI, LegalTech, or IP

• Experience in early-stage startups

• Additional languages like German or Dutch

Responsibilities:

• Ensure first-response and resolution times meet SLAs

• Investigate and resolve complex technical issues

• Boost customer satisfaction and retention

• Contribute to scaling the support team and processes

• Establish reliable, scalable support functions

Benefits:

• Fast-paced, flexible environment

• Collaborative culture

• Opportunity to shape product strategy

Experience Requirements:

• 3+ years of experience as a Product Manager

• Experience in SaaS, enterprise, or productivity tools

• Ability to translate user needs into impactful solutions

• Quick understanding of technical constraints

• Comfortable defining scope and writing specs

Other Requirements:

• Customer-obsessed mindset

• Experience with AI/LLM-based products

• Experience with LegalTech or workflow-heavy software

Responsibilities:

• Partner with engineering, design, and business teams

• Own the product lifecycle end-to-end

• Translate patent workflows into intuitive experiences

• Prioritize initiatives based on user impact and value

• Define clear success metrics and feature impact

Benefits:

• Autonomy in technical execution

• Work at intersection of Generative AI and RevOps

• Direct impact on company valuation

Experience Requirements:

• 3+ years in Growth or Performance Marketing (B2B SaaS)

• Power user of N8N or Make

• Mastery of HubSpot workflows

• Hands-on experience with AI tools and LLM automation

• Strong skills in scraping and data enrichment

Other Requirements:

• Startup DNA and bias for action

• Experience with Lemlist, Cursor, and Webflow

• Experience in LegalTech or international markets

Responsibilities:

• Build automated lead qualification and scoring engines

• Turn product usage signals into automated sales actions

• Scrape, clean, and enrich prospecting data

• Experiment to improve conversion velocity and reduce CAC

• Maintain GTM infrastructure (Stripe, CRM)

Benefits:

• Mission-driven team

• Collaborative, entrepreneurial environment

• Opportunities for professional growth

• Tangible impact on clients

Experience Requirements:

• First experience in B2B sales, ideally in SaaS

• Excellent verbal and written communication in English

• Passion for tech, AI, and sales

• Comfortable with multi-channel prospecting

• Quick learner for fast-moving startup environment

Other Requirements:

• Native or C1/C2 English proficiency

• German language skills is a massive plus

• Experience with tools like HubSpot or LinkedIn Sales Navigator

Responsibilities:

• Qualify and reach out to inbound leads

• Prospect target accounts outbound

• Identify the right C-level and technical contacts

• Schedule qualified meetings for Account Executives

• Keep CRM meticulously up to date

Benefits:

• Work on a core AI product

• Immediate impact on IP professionals

• Collaborative, high-ownership culture

• Flexible Hybrid Work

• Competitive compensation

Education Requirements:

• Top engineering school or PhD

Experience Requirements:

• 4+ years in software engineering

• Hands-on experience in Python and backend development

• Experience building or maintaining AI / LLM-based systems

• Familiarity with LLM SDKs and libraries (OpenAI, Anthropic)

• Proven ability to design production-grade AI components

Other Requirements:

• Fluent in French and English

• Knowledge of search systems or RAG pipelines

• Experience in Machine Learning / Deep Learning

• Familiarity with AI coding tools (Cursor, GitHub Copilot)

• Interest or background in Intellectual Property

Responsibilities:

• Build and maintain production-ready AI systems

• Design components for prompt management and RAG pipelines

• Ensure system reliability via testing and CI/CD

• Collaborate with product teams to align technical solutions

• Lead and mentor a team of AI engineers

Benefits:

• €50k to €65k base salary + BSPCE

• Lunch vouchers (approx. 200€/month)

• Sports allowance (360€/year)

• 100% health & pension coverage

• Unlimited vacation policy

Experience Requirements:

• 3 to 8 years of experience in frontend development

• Experience in a product-driven startup environment

• Comfortable operating in fast-moving, not-yet-fully-structured contexts

Other Requirements:

• Strong proficiency in TypeScript

• Solid experience with React and Next.js

• Knowledge of Tailwind, Vite, Playwright

• Ability to design and build pages and flows autonomously

• Frontend-focused or full-stack profiles welcome

Responsibilities:

• Take end-to-end ownership of the Gladia web app

• Design and build product- and user-driven interfaces

• Collaborate closely with backend and product teams

• Define and maintain strong frontend standards

• Actively contribute to UX and interface decisions

Benefits:

• Flexible, hybrid work environment

• Office based at Station F in Paris

• Competitive compensation package

Education Requirements:

• Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D preferred)

Experience Requirements:

• Experience with RLHF techniques applied to LLMs or Diffusion Models

• Proven track record through personal projects or deep learning experience

• Strong coding abilities in Python and frameworks like PyTorch

Other Requirements:

• Problem-solving mindset

• Excellent teamwork skills

• Availability for 6 months

Responsibilities:

• Conduct literature reviews on RLHF and DPO methods

• Implement fine-tuning techniques for text-to-image models

• Analyze model performance and conduct rigorous ablations

• Document findings and prepare technical reports

• Contribute to foundational open-source models

Benefits:

• Flexible, hybrid work environment

• Office based at Station F in Paris

• Competitive compensation package

Education Requirements:

• Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D preferred)

Experience Requirements:

• Experience with distillation and/or improved sampling techniques for diffusion models

• Proven track record through personal projects or deep learning experience

• Experience with generative models (diffusion models, GANs, VAEs, transformers)

Other Requirements:

• Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX)

• Problem-solving mindset and excellent teamwork skills

• Availability for a period of 6 months

Responsibilities:

• Conduct literature reviews and propose innovative methods for diffusion models

• Participate in the fine-tuning stages of large-scale text-to-image models

• Document research findings and prepare technical reports

• Contribute to open-source projects and engage with the AI community

• Design evaluation metrics and analyze model performance

Experience Requirements:

• You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge

• You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work

• You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards

• You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success

Responsibilities:

• Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel

• End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities

• High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV

• Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development

• Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations

Benefits:

• Competitive salary

• Learning & development stipend

• Equipment of choice

• (Mental) health support

• Generous paid time off

Benefits:

• 38 days of holidays/year (+3 days offered by lempire)

• Alan Blue: Comprehensive 100% premium medical coverage for you and your family

• Swile Meal Tickets: Enjoy daily meal tickets

• Navigo Card: Seamless commuting with a 100% covered Navigo card

• Gear: Get the laptop tools and equipment you need for your job

Education Requirements:

• You study in a top business school / or have a meaningful background

Experience Requirements:

• 1 or 2 years of experience in a similar role

• You already have set-up a CRM and automation for your company

• You have operations, sales or marketing experience

• You already used a CRM like Hubspot/Pipedrive/Salesforce

Other Requirements:

• You are a doer & want to have an impact

• You are curious & love to solve problems

• Interest in leveraging the latest tech to solve business problems

• You speak English & French

• You have a strong interest in SaaS and the Sales automation space

Responsibilities:

• Own sales operations - helping @Yann GUILLEUX scale the team from 7 to 15 reps within one year

• Lead high-impact initiatives with multiple stakeholders (launch Enterprise offering, implement AI support systems, structure key processes)

• Build no-code automations to eliminate repetitive tasks

• Partner with data and tech teams to develop effective solutions

• Drive growth as a strategic consultant by analyzing opportunities and implementing improvements

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Experience Requirements:

• 3+ years of experience in enterprise sales, preferably in complex, technical SaaS products.

Responsibilities:

• Research and identify high-potential enterprise prospects.

• Drive pipeline growth through targeted outbound efforts, including cold calls, emails, and social media outreach.

• Leverage warm introductions to establish connections with key decision-makers.

• Work with marketing to assess inbound leads and explore upsell opportunities.

• Guide potential customers through live product trials, ensuring they experience the full value of our AI solution.