DATADOG FRANCE Salaire
Note de l'employeur
0 évaluation
5 avis
Les salaires sur les positions chez DATADOG FRANCE
Simulateur de salaire
Calcul brut → net · Législation française · Barème 2026
Période
Versements / an
€
Net (78.2%)
Cotisations (21.8%)
Net
3 910 €
/ mois
Cotisations
1 090 €
/ mois
Brut
5 000 €
/ mois
Net annuel
46 915 €
Taux de cotisations
21.8%
| Cotisation | Taux | Mensuel |
|---|---|---|
| Assurance maladie | 0,75% | 37 € |
| Retraite | ~11.5% | 577 € |
| CSG / CRDS | 9,70% | 477 € |
| Total cotisations | 21.8% | 1 090 € |
Méthodologie et sources des données (2026)
Nos simulations s'appuient sur les barèmes officiels et le Plafond Mensuel de la Sécurité Sociale (PMSS 2026 : 4 005 €). Pour vous garantir un calcul fiable du salaire net avant impôt, nous appliquons les taux de cotisations salariales en vigueur :
| Cotisation | Source | Lien de référence |
|---|---|---|
| Maladie, Vieillesse, CSG / CRDS Cotisations de Sécurité Sociale & impôts sociaux | URSSAF | Taux et barèmes URSSAF ↗ |
| Agirc-Arrco (T1/T2), CEG, CET Retraite complémentaire obligatoire | Bulletin-paie.com | Barèmes Agirc-Arrco ↗ |
| Synthèse des cotisations 2026 Vue d'ensemble des taux et seuils (PMSS) | LégiSocial | Tableau synthétique 2026 ↗ |
* Le calcul prend en compte l'abattement forfaitaire de 1,75 % sur l'assiette de la CSG/CRDS ainsi que les tranches de cotisations (Tranche 1 ≤ PMSS et Tranche 2 > PMSS).
Salaires et activité de recrutement
Aperçu des salaires publiés et de l’activité de recrutement au cours des 12 derniers mois.
Salaire de l'entreprise
11 667 €/mois
Salaire net / mois
~9 208 €/mois
environ, avant impôt sur le revenu
Médiane du marché
—
Recrutements / 12 mois
20
Activité de recrutement
Historique des 12 derniers mois
- déc.
- janv.
- févr.
- mars
- avr.
- mai
- juin
- juil.
- août
- sept.
- oct.
- nov.
DATADOG FRANCE recrute pour des postes:
technicienne
Type de contrat
- contrat à durée indéterminée Contrat travail
Horaires de travail
- 35H Horaires normaux
Expérience
- 2 ans
Exigences
- techniques pédagogiques
- informer les clients des problèmes techniques relevés et des modifications et réparations à apporter
- déterminer les solutions et préconisations techniques et les communiquer aux clients
- analyser des problèmes techniques
- effectuer le suivi technique des produits et de leur évolution auprès des clients
- cisco
Rémunération
- annuel de 30000 Euros à 40000 Euros sur 12 mois
- annuel de 30000,00 Euros à 40000,00 Euros sur 12 mois
ingénieur
Type de contrat
- contrat à durée indéterminée Contrat travail
Horaires de travail
- 40H Horaires normaux
Expérience
- 2 ans
Exigences
- concevoir et développer les programmes et applications informatiques
- établir un cahier des charges
- analyser les besoins du client
- déterminer des mesures correctives
- rédiger une Spécification Technique de Besoin
- C
- cassandra
- go
Rémunération
- annuel de 60000,00 Euros à 70000,00 Euros sur 12 mois
commercial
Responsabilité
- handle all France-based Customer Success requests relating to the renegotiation of existing MSAs, with the goal of fostering increased self-reliance and reducing overall volume
- this role will report directly to the Associate General Counsel, Commercial & Litigation, but will work closely with other Datadogs within and outside the Legal Department
- initiate and participate in various projects and identify opportunities to support department and company goals and requirements
- the Senior Commercial Counsel will be responsible for a wide range of vendor and sales contracts for Datadog in the EMEA region
- the Commercial Counsel will be responsible for a wide range of vendor and sales contracts for Datadog in the EMEA region
- handle all France-based sales engagements as the primary contact for Datadog’s French Sales & Alliance team
- handle all France-based sales engagements as the primary contact for Datadog's French Sales & Alliance team
Exigences
- organized, process-driven and resourceful with excellent interpersonal and communication skills and an attention to detail
- flexible and eager to work in a fast-paced environment and meet tight deadlines, with an attitude that no task is too big or too small
devops
Responsabilité
- support our internal customers by helping answer questions about the demo environment, troubleshooting, tracking feature requests and bugs, escalating issues, and reporting or calling incidents when necessary
- the technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful
- become a Datadog expert, understanding the platform in detail, to best deliver demo related solutions, support other Datadog employees using those solutions, and using Datadog to monitor the health of those solutions
- built by engineers, for engineers, our monitoring and security platform is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack
Exigences
- A self-starter and problem solver, willing to take on hard problems and work autonomously when necessary
- comfortable working with Linux
- experience with CI/CD workflows and tools
designer
Exigences
- you have 3+ years of experience in digital product design with a focus on User Interface Design
- you have experience in digital product design
- you are able to work full-time for at least 5 months
- you have worked on technical products
- you can write HTML, CSS, and React/Javascript
- you have experience with advanced prototyping tools
- you give and receive feedback well, supporting and improving the work of your colleagues as well as your own
- you are an excellent visual and written communicator, able to clearly communicate your design work and the support for your design decisions
Responsabilité
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- beautiful offices in convenient locations with amazing views
- work closely with our Design Systems engineers and our product engineering teams to understand how your designs will be built
data analyst
Exigences
- you have a natural curiosity and investigative mindset- driven to know “why”
- you are familiar with Spark and/or Hadoop
- you are familiar with data storage optimization
- you have some experience with data stores similar to AWS Redshift or S3
- you are able to clean a dataset and conduct a data analysis in Python or similar language
- you are a clear, concise communicator that works well with others
- you are fluent with SQL and are able to write complex and performant queries with no assistance
Responsabilité
- contribute to building the data model layer that is used by the whole company to query internal data and analytics
- build actionable data reports and visualizations that will help other teams make strategic decisions
- help marketing teams optimize their initiatives
- help product managers, designers, and engineers to understand our products usage and user behaviors, and facilitate data-driven decision making
- run deep data analyses and investigations
Product Manager
Responsabilité
- Own the roadmap for AI and data security capabilities, including AI and data discovery and posture management.
- Define how security teams assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations.
- Work with engineers and designers to deliver product capabilities from concept through launch and iteration.
- Partner with security researchers to identify emerging AI-system risks and translate them into product features.
- Engage with customers to understand their AI adoption and validate secure-operating solutions.
- Collaborate with go-to-market teams to support adoption and communicate the value of AI security capabilities.
- Own the product strategy and long-term vision for a core APM area.
- Lead strategic discussions with design partners and key customers to identify performance issues and validate product initiatives.
Exigences
- At least three years of product management experience building technical products.
- Strong understanding of generative AI, modern cloud environments, and application architectures.
- Interest in security challenges introduced by AI and machine learning systems.
- Ability to discuss technical implementation details and trade-offs with engineers.
- Experience engaging customers and using their feedback to drive product decisions and prioritization.
- At least 5 years of experience as a product manager, ideally with a developer-focused SaaS or infrastructure product.
- Experience leading production-level AI projects from conception through launch and iteration.
- Prior engineering experience or deep expertise in modern software development and distributed systems.
Avantages
- Competitive benefits package.
- New-hire stock equity and employee stock purchase plan.
- Continuous career development and career-pathing opportunities.
- Employee-focused onboarding.
- Internal mentor and cross-departmental buddy program.
- Hybrid workplace.
- Inclusive workplace culture.
Type de contrat
- Hybrid work arrangement
Director of Product Management
Responsabilité
- Manage and grow multiple cloud security product lines and shared platform capabilities.
- Lead product strategy and roadmaps for security product lines.
- Ensure roadmap execution across direct and partner teams.
- Develop pricing and packaging strategies to maximize revenue.
- Drive go-to-market strategy with partner teams.
- Represent product lines with analysts, press, and customers.
- Manage and mentor product managers.
Exigences
- Demonstrated product management leadership and business growth success in the CNAPP market.
- Experience developing shared platform capabilities for multiple products.
- Experience managing product management teams and mentoring talent.
- Demonstrated success developing go-to-market programs and achieving targets.
- Strong cross-functional alignment skills.
- Expertise in pricing and packaging strategies.
- Strong customer focus and ability to advocate for customer needs.
- Software engineering or security engineering background, or demonstrated technical knowledge.
Engineering Manager, Applied AI/ML Product Analytics Suite
Responsabilité
- Lead and grow a team of Applied Scientists.
- Define the technical vision and roadmap for agentic and proactive AI/ML capabilities.
- Provide hands-on technical contributions and reviews, guiding research prototypes toward production-ready capabilities.
- Shape how AI capabilities are developed and delivered across the product suite.
- Partner with product and engineering leadership.
- Hire and onboard Applied Scientists.
- Represent the team’s progress and priorities to stakeholders.
Exigences
- Background in applied AI/ML, ideally including hands-on research or applied science experience.
- Experience as a people manager or strong technical credibility early in a management career.
- Ability to define direction and structure in greenfield, ambiguous environments.
- Experience taking ML/AI capabilities from research prototypes to production.
- Experience in analytics, natural language processing, or user-behavior domains is preferred.
- Ability to communicate technical AI/ML concepts to product and engineering stakeholders.
- Comfort working on early-stage, high-impact initiatives with ambiguity.
Avantages
- New-hire stock equity through RSUs and an employee stock purchase plan.
- Continuous professional development, product training, and career pathing.
- Intradepartmental mentor and buddy program.
- Inclusive company culture and access to employee resource groups.
- Access to internal Inclusion Talks.
- Free global mental health benefits for employees and dependents aged six and older.
- Competitive global benefits.
Type de contrat
- Hybrid workplace.
directeur de l'ingénierie
Responsabilité
- Diriger l'ingénierie d'une ou plusieurs gammes de produits de surveillance de l'expérience numérique.
- Manager 50 à 60 ingénieurs par l'intermédiaire d'Engineering Managers.
- Élaborer la feuille de route avec la direction produit et contribuer à la stratégie.
- Piloter l'adoption de l'intelligence artificielle dans les outils, les méthodes de travail et les fonctionnalités produit.
- Gérer les dépendances entre les équipes DEM, APM, Core Platform, AI Platform et Data Science.
- Développer et fidéliser les talents en ingénierie à Paris.
- Accompagner les Engineering Managers vers des responsabilités de directeur.
- Participer au système d'astreinte.
Exigences
- Expérience directe de management d'Engineering Managers.
- Intégrer profondément l'intelligence artificielle dans les pratiques de direction et de développement des équipes.
- Expérience avérée dans l'influence des décisions produit et la définition de stratégies.
- Expérience des systèmes backend distribués, événementiels ou fortement orientés données à grande échelle.
- Expérience full-stack ou proche du frontend.
- Maîtrise de l'anglais dans un environnement international.
- Être basé à Paris ou accepter de s'y installer.
Avantages
- Actions gratuites d'entreprise à l'embauche et plan d'achat d'actions pour les salariés.
- Développement professionnel continu, formation produit et accompagnement de carrière.
- Programme de mentorat et de parrainage interne.
- Culture d'entreprise inclusive et accès aux groupes de ressources communautaires.
- Accès à des conférences internes sur l'inclusion.
- Services gratuits de santé mentale à l'échelle mondiale pour les salariés et leurs ayants droit âgés d'au moins 6 ans.
- Avantages sociaux compétitifs à l'échelle mondiale.