Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Flexible remote work culture

Experience Requirements:

• 5+ years of software engineering experience in Node.js, React, TypeScript, and Express

• Solid experience with AWS (Fargate, Lambda, EC2, SQS)

• Strong database skills with PostgreSQL and Redis

• Deep experience in microservices architectures

• Familiarity with CI/CD pipelines

Responsibilities:

• Design and maintain scalable features across the full stack

• Integrate LLM capabilities into customer support workflows

• Solve complex engineering challenges like API optimization

• Maintain cloud infrastructure with a DevOps mindset

• Mentor teammates and foster engineering culture

Benefits:

• Great salary plus equity

• Learning budget

• Globally distributed team working on AI

• Premium AI tools (ChatGPT, Claude, etc.)

Experience Requirements:

• Experience leading engineering teams that build and scale end-to-end production systems

• Deep understanding of AI/ML systems (agent orchestration, RAG, etc.)

• Proven ability to translate business needs into technical deliverables

• Background as a founder or engineering lead (preferred)

Responsibilities:

• Lead a team of engineers building production-grade AI agents

• Own success outcomes for a portfolio of strategic accounts

• Shape the platform based on deployment learnings

• Coach and mentor engineers

• Coordinate with Sales and CS to deliver results

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools

• Flexible remote work culture

Experience Requirements:

• 3+ years building in Node.js, React, TypeScript, and Express

• Strong with PostgreSQL, Redis, and AWS cloud environments

• Familiar with CI/CD and microservices architecture

• Experience integrating with LLMs in production (bonus)

Other Requirements:

• AI-first mindset (experience with Cursor, Claude Code)

Responsibilities:

• Design and build scalable features across the full stack

• Integrate cutting-edge LLM capabilities into enterprise workflows

• Optimize API performance and microservices architecture

• Maintain and improve cloud infrastructure (AWS)

• Collaborate with Product on roadmap development

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Globally distributed team culture

Experience Requirements:

• Successfully scaled engineering teams to 30+

• Technical depth with AI-native fluency

• Experience leading teams that ship regularly at scale

• History of making technical decisions that shape company direction

• Experience building with conversational AI, event-driven systems, or CX platforms

Other Requirements:

• Startup DNA and comfort with ambiguity

• Infectious energy and positive culture builder mindset

Responsibilities:

• Set technical roadmap and align with business goals

• Double the engineering team over 12-18 months

• Stay hands-on with AI tools and coding experiments

• Partner with product/design/revenue leadership

• Establish scaling practices and drive velocity

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:

• 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:

• 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:

• 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:

• 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:

• 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:

• 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:

• Medical, dental and vision insurance

• 401(k) plan with Cisco matching contribution

• Paid parental leave

• Grants of Cisco restricted stock units

• Flexible vacation time off program

Education Requirements:

• Bachelors degree

• Master’s degree

Experience Requirements:

• 2 years of relevant experience with Bachelors

• 0 years of relevant experience with Masters

Other Requirements:

• Experience with Market Research, Competitive Analysis, or Strategic Planning

• Experience formulating Product Roadmaps

• Proficiency in Python, C++, SQL

• Knowledge of Agile Methodologies

• Experience with AI and machine learning models

Responsibilities:

• Define strategy and roadmap for Generative AI and LLM features

• Collaborate with AI/ML researchers and data scientists

• Identify and validate high-impact AI/ML opportunities

• Partner with cross-functional teams for product delivery

• Define, track, and report on key product metrics

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave

Experience Requirements:

• 4+ years of full-stack engineering experience

• Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres, and common SaaS tools

Other Requirements:

• Track record of high-velocity delivery and ownership

• Interest in science, research, education

Responsibilities:

• Ship end-to-end improvements like RAG/search features

• Identify issues, fix bugs, and iterate quickly

• Keep the codebase clean, reliable, and scalable

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid maternity leave

Experience Requirements:

• 5+ years building and operating high-throughput cloud infrastructure

• Deep experience with Kubernetes, Terraform, Docker, and modern CI/CD

• Strong background in monitoring, alerting, load testing, and cloud security

Other Requirements:

• Comfort debugging backend systems (Python, FastAPI, Postgres, Redis)

• Interest in science, research, and LLM-powered products

Responsibilities:

• Own and evolve cloud platform (Kubernetes, Terraform, GCP)

• Build and maintain observability, deployment, and incident response systems

• Debug and optimize backend and infrastructure performance

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid maternity leave

Experience Requirements:

• 4+ years of full-stack engineering experience

• Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres

• Familiarity with MixPanel, StatSig

Other Requirements:

• Track record of high-velocity experimentation

• Interest in science, research, education

Responsibilities:

• Ship growth-focused features and experiments

• Own the full loop: build features, instrument funnels, run A/B tests

• Contribute to general full stack web app development

Experience Requirements:

• 1–3+ years of experience in a fast-paced startup

• Strong experience with community building, student programs, or campus outreach

• Experience running programs end-to-end

Other Requirements:

• Comfortable traveling 1–2 times per month to universities

• Experience using data visualization tools like Mixpanel or Bigquery

Responsibilities:

• Form relationships with grad student unions and professional associations

• Build and run a full student ambassador program

• Run student workshops and classroom demos

• Test new ideas for reaching students

• Host on-campus meetups and tabling events

Experience Requirements:

• 6+ years of experience across Sales, GTM, and/or Customer Success

• Demonstrated success selling SaaS products to mid-market or enterprise

• Background in academia, healthcare, or corporate R&D

Other Requirements:

• Experience in using modern GTM automation tools like Clay, Apollo, Instantly

• Strong communication skills

Responsibilities:

• Co-develop and refine GTM strategy across core segments

• Own and execute a full outbound sales motion

• Partner with Product and Leadership to bring segment feedback

• Lead portions of customer onboarding and early success

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 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

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