cover image
Beamy

Beamy

www.beamy.io

2 Jobs

55 Employees

About the Company

As a French startup, our mission is to empower CIOs and IT leaders of Large Enterprises with full visibility, effective governance, and guided usage of their SaaS landscape through custom Web Extension and Governance Platform.

The CIO must become a true business partner, not only guaranteeing the security and compliance of the technologies used, but also a facilitator who helps teams to choose and adopt the solutions best suited to their specific needs.

Creating a Technology Playground for every employee is a game-changer, breaking down barriers to accessing and using new technologies like AI, SaaS, and Low-code, and shaping the tech landscape of tomorrow.

Listed Jobs

Company background Company brand
Company Name
Beamy
Job Title
Technical Project Manager - Stage
Job Description
**Job Title** Technical Project Manager (Internship) **Role Summary** Assist in the technical deployment and configuration of Beamy’s SaaS‑usage monitoring extension for large enterprise clients. Provide Level‑1 support, improve data quality, coordinate internal projects, and maintain technical documentation. **Expectations** - 6‑month internship (Jan 2026 start). - Allocate 50 % of time to technical support, 30 % to project coordination, 20 % to continuous improvement and documentation. - Deliver on deadlines, produce regular status reports, and ensure smooth client experiences. **Key Responsibilities** 1. **Technical Implementation Support** - Provide Level‑1 client assistance (data‑flow updates, configuration). - Validate technical configuration files and become an expert on the internal back‑office tool. - Participate in improving algorithm and data quality on client platforms. 2. **Project Management & Coordination** - Lead internal projects, track action items, and ensure deliverables are met on time. - Produce internal reporting of deployment progress and key milestones. - Coordinate technical workshops and liaise with clients. 3. **Continuous Improvement & Documentation** - Monitor deployment quality and coverage. - Contribute to the product roadmap and refine internal processes. - Keep technical documentation up‑to‑date and capture lessons learned from each deployment. **Required Skills** - Strong technical aptitude and problem‑solving skills; comfortable with complex troubleshooting. - Ability to explain technical concepts clearly to non‑technical stakeholders. - Proactive, self‑motivated, and collaborative team player. - Familiarity with project tracking tools (e.g., Jira, Asana) and documentation platforms (Confluence, Google Docs). - Basic knowledge of SaaS, browser extensions, or data‑flow pipelines is a plus. - Experience with stakeholder coordination and report generation. **Required Education & Certifications** - Current enrollment in a Master’s‑level engineering program (M2) or equivalent in Computer Science, Information Systems, or related field. - Prior internship or work experience in technical support or a similar role is preferred. - No mandatory certifications; knowledge of Agile/Scrum project‑management frameworks is advantageous.
Paris, France
On site
21-11-2025
Company background Company brand
Company Name
Beamy
Job Title
Stage Deep Tech - IA & Data Science
Job Description
**Job Title** Deep‑Tech Internship – AI & Data Science **Role Summary** Internship (M1/M2) in a high‑growth SaaS platform. Own 1–2 applied research projects that transform massive user‑application graphs (500K users × 50K apps) into actionable product features. Work within an innovation team, prototype quickly, and deliver results that can become new product capabilities or patents. **Expectations** - Full ownership of research projects, from problem definition to production‑ready prototypes. - Deliver concrete outputs used in product releases for large enterprise customers. - Communicate findings to cross‑functional teams and contribute to strategic roadmap. **Key Responsibilities** - Develop multimodal task mining: automate workflow reconstruction via OCR, object detection, layout understanding; fuse visual, web‑event, and time‑series signals. - Build an automatic SaaS taxonomy: daily classification of new apps using embeddings, few‑shot learning, and RAG. - Design behavioral embeddings and multivariate time‑series scoring to predict business impact across individual and enterprise scales. - Implement graph‑neural‑network models to detect and recommend duplicate or redundant applications, addressing semantic–functional similarity and cold‑start challenges. - Monitor embedded AI features (Copilot, LLM integrations) across third‑party SaaS by fingerprinting interaction patterns. - Rapid prototyping with BigQuery, dbt, PyTorch/TensorFlow, OpenAI/Gemini, and vision models. **Required Skills** - Scientific Python: pandas, scikit‑learn, PyTorch/TensorFlow. - Advanced SQL: complex queries, optimization for large analytics datasets. - Robust ML foundation: statistics, regression, clustering, deep learning. - Scientific rigor, reproducible research practices. - Bonus: experience with LLMs, computer vision, NLP; Kaggle/data‑science projects; GitHub portfolio. - Soft skills: autonomous work, curiosity, pragmatic delivery, technical communication, entrepreneurial mindset. **Required Education & Certifications** - Current final year of engineering school or equivalent, specializing in Data Science, Machine Learning, or Applied Mathematics. - No mandatory certifications required.
Paris, France
On site
19-12-2025