Georgia State University Department of Health Sciences

Cloud Engineer

• Develop and maintain automation scripts to accelerate internal workflows.
• Contribute to backend quality and stability (Python or TypeScript) through development tasks, refactoring, and bug fixes.
• Participate in implementing and continuously improving CI/CD pipelines (GitHub Actions).
• Manage and evolve AWS cloud components (Lambda, S3, DynamoDB, CDK) under supervision.
• Improve monitoring tools and enhance visibility into critical systems.
• Clearly document changes, tools, and technical procedures.
• Collaborate with SaaS, BI, and AI teams to resolve cross-functional issues and streamline delivery.

Junior Cloud Platform Engineer

Data Engineer

• Design, develop, and maintain robust, automated, and scalable data pipelines.
• Ensure the quality, security, and reliability of data across its entire lifecycle.
• Define and maintain infrastructure-as-code for data-related services.
• Build and maintain dashboards, monitoring tools, and reports for internal teams.
• Collaborate closely with Data Science, DevOps, and Product teams to ensure data consistency and maximize the value of data.
• Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).

Senior Data Engineer

Platform Engineer

• Design and operate a unified data lakehouse (IoT, CRM, internal systems, product data, AI outputs) with a high level of reliability.
• Implement data quality, monitoring, observability and lineage workflows, ensuring <0.1% platform incidents.
• Deploy a self-service data infrastructure used by 80% of internal teams; reduce manual data requests by 50%.
• Implement GDPR compliance controls: PII handling, access policies, retention and auditability.
• Optimize the platform to support 2,000+ IoT devices with a cost increase <5% per device while ensuring FinOps governance.
• Design and maintain reliable datasets for the AI team, with automated monitoring.
• Work closely with AI, SaaS, BizOps and Infrastructure teams to ensure consistency, performance and continuous delivery.
• Provide technical mentorship to junior engineers and promote engineering best practices.

Lead Data Platform Engineer

Product Marketing

• Conduct an audit of existing materials and messaging.
• Deliver an initial set of prioritized assets.
• Propose a marketing roadmap aligned with business priorities.
• Design and maintain a sales enablement system: pitch decks, one-pagers, case studies, etc.
• Create a library of messages and key talking points by customer segment, with a quarterly update process.
• Align materials and messaging with Sales, Customer Success, and Executive teams.
• Define customer journeys, key messages per persona, and acquisition/upsell strategies for the Waste & Safety offerings.
• Build a robust messaging framework validated by internal stakeholders.
• Develop a 12-month strategic marketing plan integrated with the company repositioning.
• Launch a communication campaign for existing customers: newsletters, webinars, personalized sessions.
• Ensure that 80% of historical customers understand the evolution of our offering.

Product Marketing Manager

Data Scientist

• Design, train and validate object detection and tracking models (YOLO, R-CNN, etc.)
• Work on the scalability and robustness of image processing pipelines
• Participate in productionizing models through MLOps workflows
• Collaborate with Data Engineering and DevOps teams for industrialization and cloud/edge deployment
• Contribute to technology watch on deep learning architectures and vision frameworks
• Ensure the quality, reproducibility and documentation of experiments conducted

Senior Data Scientist – Computer Vision

Account Executive

• Build a solid pipeline from the first month to generate 5–10 meetings per week.
• Manage 4–6 month sales cycles with multiple stakeholders to close 20–30% of your pipeline.
• Build trust with clients to generate referrals to other mayors in the region.
• After one month: mastery of the sales pitch.
• After three months: full mastery of the product, the pitch, and objection handling. Solid pipeline with expected closes within 1–2 months.
• After six months: several contracts signed.
• After one year: €350K ARR signed.
• A solid, well-managed pipeline to reach €500K the following year.

Account Executive, Waste Product

• The objective of the role will be to sign €350K ARR in the first year and €500K in the second year, while structuring the sales methodology and commercial messaging for the Safety product.
• Hold the first 100 meetings within 3 months to help the team identify the right pitch, the right stakeholders and pain points, and to generate qualified leads.
• Sign approximately 7 contracts to reach €350K ARR (about €50K per contract). Manage sales cycles of 6–12 months.
• Improve the Vizzia Safety sales playbook: messaging, sales methodology, prospecting sequences and field learnings, to lay the foundation for a scalable team.

Account Executive – Enterprise Accounts

DevOps Engineer

• Concevoir et maintenir des architectures cloud et IaC (CDK, Terraform)
• Orchestrer et optimiser les pipelines de traitements IA
• Développer et optimiser les pipelines CI/CD utilisés par les équipes IA
• Promouvoir les bonnes pratiques DevOps/MLOps et automatiser les workflows
• Garantir la scalabilité, la sécurité et l’observabilité de l’infrastructure
• Contribuer au suivi et à l’optimisation des coûts cloud (FinOps)

Cloud DevOps Engineer – AI

Revenue Operations

• Référent·e de la stack commerciale et marketing au sein de l’équipe Business Opérations
• Améliorer la performance de bout en bout du cycle de revenus et garantir la fluidité des process
• Assurer la cohérence des données commerciales et marketing (HubSpot CRM, automatisations, reporting, suivi pipeline, attribution des leads)
• Construire et maintenir dashboards pour pilotage des revenus (pipeline, forecast, churn, LTV, CAC)
• Optimiser les process de conversion de leads et de gestion des opportunités
• Définir et suivre les KPIs de performance Sales & Marketing en lien avec le management
• Déployer projets transverses pour améliorer la productivité des équipes client-facing
• Former et accompagner les utilisateurs dans la maîtrise des outils et process RevOps

Revenue Operations Manager

• Définir et exécuter les stratégies Go-To-Market pour nouveaux marchés et offres
• Identifier et scorer de nouveaux marchés/géographies à fort potentiel
• Co‑construire le framework d'évaluation go/no-go avec le CMO
• Mener analyses de marché : taille, maturité, compétition, barrières réglementaires
• Définir l'ICP et la proposition de valeur adaptée
• Créer et lancer campagnes de génération de demande (content, outbound, events)
• Prospecter directement et décrocher les premiers rendez‑vous qualifiés
• Pitcher et closer les premières ventes pour valider le product‑market fit
• Documenter les learnings dans un playbook opérationnel et kit commercial
• Former et coacher l'équipe sales, assurer handover et suivi des premières opportunités
• Rattaché.e au CMO et en lien fréquent avec le COMEX

Go-to-Market Manager

General Counsel

• Répondre aux besoins juridiques des équipes internes (Sales, Customer Success, Tech)
• Rédiger, analyser et sécuriser les marchés publics et appels d’offres
• Garantir la conformité RGPD des projets (données personnelles, vidéoprotection)
• Accompagner les clients et partenaires sur les enjeux juridiques liés aux solutions
• Sensibiliser et former les équipes internes pour réduire la dépendance aux sollicitations juridiques
• Être force de proposition pour améliorer les process juridiques et contractuels
• Agir comme référent(e) juridique sur marchés publics et conformité RGPD

Juriste – Marchés Publics, RGPD

Engineer

• Spécifier et concevoir les bancs de tests pour tests unitaires, d’intégration et systèmes
• Automatiser les tests et réduire les cycles de validation R&D
• Concevoir des bancs de tests adaptés à la production pour maximiser la couverture et réduire le temps de test
• Assurer la fiabilité, la qualité produit et la conformité aux certifications CE et FCC
• Collaborer avec les équipes Industrialisation et Intégration & Validation et fournisseurs
• Renforcer ponctuellement l’équipe Développement Hardware