CMO at Crisp IM

Helping post-PMF SaaS Founders with low to no inbound marketing skills to scale their operations. Interested? Hit "follow me" button 🫶

Former developper, I've moved on to the "other side" while learning marketing and business in a French Business School.

Thanks to multi-disciplinary skills, I'm able to work on the whole customer lifecycle to build sustainable growth. 

Passioned for innovation and entrepreneurship, I'm helping SMBs to change the way they create multichannel customer support experiences with their users at Crisp, a leading solution in the customer support industry over the world.

Join me here too: https://twitter.com/Ant0ine_Gt

Antoine GORET

If you're still thinking AI can be added as a patch to your product, we thought the same 12 months ago, and we were wrong.

Product people, tech visionnaire, this video is built for you.

We take you inside the reasoning and the decision that drove us to release our new AI Agent.

Storytime ⬇️

Ten years ago, Crisp started with a simple idea: put a chat bubble on websites so companies and customers could talk to each other.

Today, more than 200 million people interact through multiple channels every month.

But something changed recently: AI exploded.

Every SaaS company started adding AI features and we did the same.

But very quickly, we realized something uncomfortable.

Our product wasn’t built for this new era: for years we had improved our chatbot system.

Workflows. Automations. Knowledge base search.

Then LLMs arrived. We added AI replies. Smarter routing. More intelligence.

But under the hood, it was still the same architecture: A workflow system trying to host AI.

At some point we had to face reality: You don’t build an AI-native product by stacking AI on top of legacy logic.

So we made a difficult decision, Instead of patching the product… We rebuilt it:
- New architecture.
- New agent system.
 - New chat widget designed for AI conversations.

A new way to separate human conversations from automated ones was born and the goal wasn’t to build a “smarter chatbot”.

The video below takes you inside this story. Through the doubts, the meetings, the decisions, that have led to the creation of Hugo AI Agent.

https://lnkd.in/eTqvqmba

This is kind of a documentary we worked with Léo Pereira who' been insanely good at delivering this amazing piece of content.

Antoine  GORET

Open video: We Rebuilt Our SaaS with AI at Its Core on youtube.com

Aircall

💡 Aircall is a cloud-based telephony and communications platform, integrated with CRM and business management tools, designed for sales and support teams. It enables small and medium-sized businesses to improve productivity and turn customer and employee satisfaction into growth drivers.

👨‍💻 As a member of the Data Platform team, I'm responsible for designing and implementing real-time distributed data pipelines for service orchestration and analytics. With this in mind, we're building a 100% serverless, scalable and robust infrastructure, enabling Aircall to easily take the next step in its development.

🎯 Achievements:
👉 Design and implementation of real-time distributed data pipelines for analytics and event-driven architecture.
👉 Construction of a serverless, scalable and robust infrastructure.
👉 Use of technologies such as Golang, AWS, Kinesis, Lambda and Terraform.
👉 Implementation of CI/CD strategies to ensure continuous deployment and efficient delivery.

🧠 Core competencies: Amazon Kinesis, Golang, AWS, Terraform, Gitlab CI/CD, Spark, Hudi.

Senior Data Engineer

Crédit Mutuel Arkéa

💡 Crédit Mutuel Arkéa is a cooperative, mutual bancassurance group in France. It is made up of the Crédit Mutuel de Bretagne and Sud-Ouest federations and some thirty specialized subsidiaries. 

👨‍💻 As a member of the Innovation team at Crédit Mutuel Arkéa, I worked cross-functionally to support the group's various entities in implementing innovation projects.

🎯 Achievements:
👉 Migration to GitLab from SVN and Jenkins. Migration of existing repositories to GitLab. Set up CI/CD pipelines with build, test, Docker image creation, deployment and status check. Notification of deployment results. Flow verification and token renewal pipelines.
👉 Designed and implemented several command line interfaces (CLIs) using Go, for example to improve the onboarding of newcomers to the team.
👉 Deployment of runners for GitLab. From an existing Terraform script, deployment of GitLab CI runners on demand. Using an empirical approach, I found the best compromise between number of runners, EC2 instance size and total build time. Cost optimization using EC2 Spot and NAT Gateway.

🧠 Core competencies: GitLab, CI/CD, Jenkins, DevOps, Go, AWS, Terraform.

Senior Devops Engineer

Genesys

Working in the Universal Contact Server team.

- Designing and developing new features
- Unit and end to end testing
- Setting up and maintaining build processes for Continuous Integration (Jenkins)
- 3rd party review and approval
- Performance testing of new solution using Gatling framework
- Migration of Continuous Integration jobs to a Jenkins 2 pipeline

Senior Software Engineer

Software Engineer

NewBay Software

Working on LifeCache Social Networking Gateway (SNG). SNG gives rapid and straightforward access to the social networks by providing a consistent API across multiple social networks.

- Designing and developing new features
- Fixing bugs 
- Unit and end to end testing
- Integrate with social networks APIs (Facebook, Twitter, Youtube...)
- Performances reviews

Crown Packaging

VIE de 10 mois au sein du département en charge du support technique.

Software developer

Capgemini

Intern

As a senior data engineer with deep proficiency in AWS, I design and optimize robust, scalable data pipelines from Data Lake to Data Streaming. 
Passionate about automation and DevOps, I excel in creating high-performance data architectures, implementing IaC solutions, and collaborating closely with technical and product teams to transform raw data into strategic insights.

👉 https://www.jbleduigou.com
✉️ jb.leduigou@gmail.com

🎯 My skills

• AWS et its data services : RDS, S3, DynamoDB, Redshift, MWAA, EMR, Lambda, EKS, Kinesis, Kafka
• Programming languages : Go, Python, Scala and Java
• Big Data Tools : Spark, Flink and AWS Glue
• Infra as code : Terraform, CloudFormation, SAM, Docker and Kubernetes
• CI/CD : Gitlab CI, Github, GithubActions, ArgoCD

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Jean-Baptiste Le Duigou

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The Battle

Antoine GORET

Jean-Baptiste Le Duigou

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