Datadog

Company Name: Datadog
Job Title: Software Engineer - Backend & Scalability
Job Description: **Job Title:** Software Engineer – Backend & Scalability **Role Summary:** Design, build, and maintain high‑performance backend services that ingest, process, and store large volumes of data for global observability and security products. Collaborate on distributed systems and internal platforms, delivering production code in Go, Python, or Java. **Expectations:** - 3+ years of production backend engineering experience. - Proficiency in at least one backend language (Go, Python, Java, C++, Rust, etc.). - Experience handling production traffic via APIs, batch jobs, or internal tools. - Foundational knowledge of distributed system concepts (messaging, scaling, fault tolerance) with a desire to deepen expertise. - Strong emphasis on clean, maintainable code and thoughtful design. **Key Responsibilities:** - Develop and maintain reliable services that process and store terabytes of data daily. - Contribute to internal platforms, APIs, and tooling that support distributed products. - Collaborate with senior engineers on system architecture, design discussions, and trade‑offs. - Ship production-ready code in Go, Python, or Java. - Participate in code reviews, mentorship sessions, and technical design meetings. - Apply distributed system patterns and best practices in hands‑on development. **Required Skills:** - Backend development in Go, Python, or Java (or equivalent language). - Experience building and scaling production‑grade services. - Understanding of distributed systems principles (messaging, fault tolerance, scalability). - Familiarity with data ingestion pipelines, event streaming, and batch processing. - Knowledge of API design, performance tuning, and reliability engineering. - Strong debugging, testing, and continuous integration skills. **Required Education & Certifications:** - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Paris, France

On site

Junior

21-09-2025

Company Name: Datadog
Job Title: Senior Data Scientist - AI Systems for Business Teams
Job Description: **Job Title:** Senior Data Scientist (AI Systems for Business Teams) **Role Summary:** Design and deploy machine learning systems to optimize revenue-generating workflows across customer-facing teams. Translate models into scalable, production-ready solutions integrated with business operations. **Expectations:** End-to-end ownership of ML projects, production-readiness standards, and instrumenting model performance monitoring. Collaborate with cross-functional teams to integrate AI/ML into business systems. **Key Responsibilities:** - Develop ML systems for revenue-focused use cases (lead scoring, customer conversion, feature adoption clustering, recommendations). - Manage full project lifecycle: problem definition, data sourcing, experimentation, deployment, monitoring, and iterative improvements. - Establish production-readiness criteria (versioned data, reproducible pipelines, SLAs, rollback strategies). - Implement model monitoring for drift, retraining triggers, performance dashboards, and alerts. - Integrate model outputs into business tools (Salesforce, Marketo, Customer Success platforms). - Partner with data engineering to leverage scalable infrastructure (training, serving, access control). - Contribute to organization-wide ML standards through library development and documentation. **Required Skills:** - 6+ years applied ML/data science, including production system ownership. - Proficiency in Python; experience with Airflow, dbt, Snowflake, Spark, or similar tools. - CI/CD for ML systems: automated testing, feature versioning, canary releases, rollback protocols. - End-to-end ML lifecycle expertise: dataset design, A/B testing, offline/online evaluation, observability. - Experience measuring model impact via business KPIs and integrating outputs into workflows. - Collaboration skills across technical and non-technical stakeholders; product focus on reliability and outcomes. **Required Education & Certifications:** Master’s or PhD in Computer Science, Statistics, or related field; 6+ years applied ML/data science experience.

Paris, France

On site

Senior

26-09-2025

Company Name: Datadog
Job Title: Senior Product Marketing Manager (Cloud Cost Management)
Job Description: **Job Title** Senior Product Marketing Manager – Cloud Cost Management **Role Summary** Lead end‑to‑end go‑to‑market strategy for the Cloud Cost Management (CCM) product line. Own positioning, messaging, and enablement content to drive acquisition, expansion, and product adoption across enterprise clients and FinOps teams. Collaborate closely with product, sales, and customer success to scale usage and influence roadmap decisions through competitive insights and data‑driven metrics. **Expectations** - 5+ years product marketing experience in enterprise B2B SaaS, ideally within a multi‑product environment. - Proven track record scaling SaaS products from launch to growth, with measurable impact on top‑of‑funnel and adoption metrics. - Strong storytelling ability geared toward technical audiences (engineers, architects, Cloud FinOps). - Deep understanding of cloud economics, FinOps practices, and product‑led growth strategies. **Key Responsibilities** 1. Develop and execute the go‑to‑market strategy for CCM, including land‑and‑expand tactics. 2. Create and maintain value propositions, product positioning, and messaging frameworks for new CCM releases. 3. Produce sales‑enablement assets: datasheets, brochures, battlecards, pitch decks, webinars, case studies, and demo videos. 4. Conduct competitive and market analysis across product segments; translate findings into roadmap guidance and sales resources. 5. Partner with product, sales, and customer success to boost product adoption, expansion, and customer success metrics. 6. Track top‑of‑funnel metrics, report performance, and iterate strategies to optimize pipeline contribution. 7. Test, refine, and scale creative outreach initiatives targeting enterprise executive and FinOps decision makers. **Required Skills** - End‑to‑end product marketing: strategy, positioning, messaging, and enablement. - Content development for technical audiences (whitepapers, blogs, case studies, videos). - Data analysis and usage of marketing metrics (CAC, LTV, funnel conversion). - Strong cross‑functional collaboration (product, sales, customer success). - Persuasive storytelling, both written and verbal, tailored to technical stakeholders. - Familiarity with SaaS performance metrics and sales enablement tools. **Required Education & Certifications** - Bachelor’s degree in Marketing, Business, Computer Science, or related field. - Preferred additional certification in Cloud Services, Finance Operations, or Product Marketing (e.g., Credly Cloud FinOps, Pragmatic Marketing certification).

San francisco, United states

On site

Senior

21-10-2025

Company Name: Datadog
Job Title: Staff Applied Scientist - Applied AI
Job Description: Job title: Staff Applied Scientist – Applied AI Role Summary: Lead end‑to‑end applied‑AI initiatives across the organization, designing, prototyping, scaling, and productionizing machine learning solutions. Mentor senior team members and champion best practices in data science and engineering. Expectations: * Demonstrate ownership of high‑impact projects with measurable business outcomes. * Navigate entire ML lifecycle—from concept to production at scale—while ensuring code quality, reproducibility, and maintainability. * Communicate effectively with engineering, product, and business stakeholders, presenting findings and driving adoption. * Mentor applied scientists, fostering a culture of excellence and continuous improvement. Key Responsibilities: 1. Identify strategic business opportunities through data exploration and rapid prototype development. 2. Build, deploy, and operate scalable ML models and pipelines (batch & real‑time) on structured and unstructured data. 3. Collaborate with applied scientists and engineers to evolve the next generation of product features. 4. Mentor and guide applied scientists on technical decisions, coding standards, and comprehensive documentation. 5. Present work in demos, internal talks, and stakeholder meetings to secure buy‑in and generate excitement. 6. Engage with the broader applied‑science community to raise the organization’s profile. Required Skills: - 8+ years in applied science, data science, ML engineering, or technical leadership. - Proven track record of delivering end‑to‑end ML products that solve real‑world business problems. - Deep expertise in ML lifecycle, algorithms, and domains such as anomaly detection, NLP, computer vision, personalization, or recommendation. - Strong programming in Python or Scala; familiarity with unit testing, code reviews, CI/CD, and production deployment. - Experience with data engineering concepts and tools (Spark, data pipelines, data storage). - Product‑oriented mindset: translate technical solutions into user‑centric features. - Excellent written and verbal communication across technical and non‑technical audiences. Required Education & Certifications: * Master’s degree or PhD in Computer Science, Machine Learning, Statistics, or a related field. * Relevant certifications (e.g., TensorFlow, PyTorch, AWS Certified Machine Learning) are a plus but not mandatory.

Paris, France

On site

Senior

19-10-2025

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