Senior AI Engineer at Datadog | Paris, France

DatadogParis, France

Hybrid Full-time

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Experience Level

Senior

Qualifications

You are a backend engineer with a minimum of 5 years of experience in languages such as Go, Java, or Python, and you value simplicity and performance in code. You have experience deploying software that incorporates LLMs into production. You are enthusiastic about Generative AI and its potential to boost the productivity of software engineers. You possess relevant experience with Large Language Models, large-scale systems, data sets, machine learning, or related fields. You excel as a community ambassador, steering technical discussions towards pragmatic solutions. You thrive in a dynamic, high-growth startup environment that values its engineers and customers. You have a background in writing developer tools (e.g., IDEs, static code analysis tools, compilers). You have a proven ability to utilize AI coding tools in daily workflows, validating, critiquing, and refining AI-generated outputs. Bonus: You are driven to explore how AI can revolutionize software engineering practices and contribute to the development of AI-enabled products.

About the job

Join our innovative team at Datadog where we're pioneering AI-assisted tools designed to enhance developer efficiency by autonomously generating tests, resolving bugs, and optimizing performance.

We are in search of a versatile and product-focused engineer to collaborate swiftly in defining and launching products that empower our customers to become 10x developers.

At Datadog, we cherish our office culture, which fosters relationships, collaboration, and creativity. We embrace a hybrid work environment that allows our team members to achieve a work-life balance that suits their individual needs.

What You’ll Do:

Collaborate intimately with users, designers, product managers, and data scientists on cutting-edge LLM-based agents.
Develop prompts, evaluations, and tools for interacting with code, while engineering systems for production integration within Datadog products.
Prototype solutions, assess their real-world effectiveness, and iterate closely with users before launching.
Stay abreast of the latest research in LLM prompting, agent development, and code editing.
Collaborate with other Datadog teams to enhance functionalities, such as integrating with IDE extensions to provide a CoPilot-like assistant or utilizing Dynamic Instrumentation to gather more runtime data from production and pre-production settings.

Who You Are:

You are a backend engineer with a minimum of 5 years of experience in languages such as Go, Java, or Python, and you value simplicity and performance in code. You have experience deploying software that incorporates LLMs into production.
You are enthusiastic about Generative AI and its potential to boost the productivity of software engineers.
You possess relevant experience with Large Language Models, large-scale systems, data sets, machine learning, or related fields.
You excel as a community ambassador, steering technical discussions towards pragmatic solutions.
You thrive in a dynamic, high-growth startup environment that values its engineers and customers.
You have a background in writing developer tools (e.g., IDEs, static code analysis tools, compilers).
You have a proven ability to utilize AI coding tools in daily workflows, validating, critiquing, and refining AI-generated outputs.
Bonus: You are driven to explore how AI can revolutionize software engineering practices and contribute to the development of AI-enabled products.

About Datadog

Datadog is a leading monitoring and analytics platform for developers, IT operations teams, and business users. We build innovative tools that empower teams to collaborate, troubleshoot, and scale applications seamlessly. Our hybrid workplace culture fosters creativity and teamwork, allowing us to provide a harmonious work-life balance.

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Senior Analytics Engineer at Ledger | Paris, France

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Join our innovative team at Ledger, where we are redefining digital ownership and empowering individuals to manage their value with freedom. Our mission is to make self-custody accessible for everyone, fostering a world in which users, creators, and enterprises can confidently manage their financial futures. We thrive on curiosity and strive to create soluti…

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Data Analyst Internship at Ledger | Paris

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Ledger is a global leader in digital asset security, headquartered in Paris. The company secures over 20% of the world’s crypto assets and has sold more than 7.5 million hardware wallets across 200 countries. With a team of about 600 professionals in Paris and international offices in cities like London, Geneva, Zurich, Portland, and Singapore, Ledger builds products that help individuals and businesses safely buy, store, swap, and manage crypto assets. About the Analytics Engineering Team The Analytics Engineering team supports Ledger’s three main Business Units: Consumer Sales (hardware), Trust Service (insurance), and Enterprise (B2B). The team transforms raw data into insights using tools such as Snowflake, SQL, and dbt for data modeling, and Tableau and GA4 for reporting. Strategic analysis often involves Python, and the team leads tactical AI initiatives to drive business growth. What You Will Do AI Enablement: Develop educational content for the Sana platform, including tutorials and guides for AI Studio. Help non-technical teams use tools like Cursor and Google AI Studio. Analytics Engineering: Handle daily data requests and improve data infrastructure by reducing technical debt in core models. Data Science Automation: Scale and industrialize data science workflows (description cut off in source). Location This internship is based in Paris, France.

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Managed Services Operations Manager at Ledger | Paris, France

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We are seeking a detail-oriented and experienced Tax Specialist to join our dynamic team on a contract basis. In this role, you will be responsible for managing tax compliance and reporting, ensuring adherence to local tax regulations, and providing accurate tax advice to support our business objectives.The ideal candidate will have a strong background in tax law and practical experience in tax planning and compliance, demonstrating the ability to simplify complex tax issues and offer strategic solutions.

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Strategy Manager - Ledger Wallet

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Full-time|On-site|Paris, France

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Senior Analytics Engineer at Ankorstore | Paris

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About UsAt Ankorstore, we empower independent brands and retailers to flourish by simplifying, accelerating, and enhancing the profitability of wholesale transactions.We are constructing the infrastructure that drives modern wholesale for brands—facilitating their discovery by the right retailers, streamlining ordering processes, logistics, and financing—enabling both parties to collaborate under more sustainable conditions.As a Senior Analytics Engineer, you will play a crucial role in enabling Ankorstore’s teams to make informed, data-driven decisions by designing, developing, and maintaining high-quality analytical data models.You will collaborate closely with internal customer teams (Product, Engineering, Finance & Operations) to identify their analytical requirements, prioritize initiatives, and deliver reliable data assets that support both daily decision-making and long-term strategic initiatives.You will be part of a dedicated team consisting of a Platform Lead, a Data Engineer, and three Analytics Engineers.

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Apr 24, 2026

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Software Engineer - Data & AI at Polar Analytics | Paris

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Join Polar Analytics: The Premier Data Platform for Consumer Brands ‍At Polar Analytics, we transform complex data into actionable insights, empowering brands to make informed decisions swiftly and efficiently. Our platform is powerful yet accessible, providing DTC brands with the analytics they need to achieve scalable profitability. Our mission is clear: we aim to accelerate the growth of independent DTC brands—enabling them to compete effectively and profitably.Why Choose Polar Analytics? 4,000+ Brands and CountingWe’ve expanded to over 4,000 active merchants as of January 2025, with plans to reach 10,000+ within this year. Revolutionizing AnalyticsPolar is redefining the Shopify analytics landscape through innovative data infrastructure designed for seamless orchestration—placing us at the leading edge of AI-powered commerce automation. Supported by Top-Tier InvestorsWe have successfully raised $28.5M from prestigious investors like Frst, Point9, and Chalfen Ventures, recognized for identifying future industry leaders early. A Team of eCommerce & Data InnovatorsOur diverse team comprises seasoned professionals from leading eCommerce SaaS platforms and Silicon Valley data powerhouses, all united by a common goal: to forge the next industry leader.About UsWe are developing a cutting-edge data & AI operating system tailored for eCommerce—think of it as Datadog for retail.Our work involves processing and refining complex Shopify, advertising, and retention data, making it reliable and actionable for teams.We are seeking engineers who desire real ownership and impact.Your RoleIn this role, you will be engaged with core systems including data pipelines, semantic layers, AI evaluation, and experimentation tools that are vital for thousands of merchants daily.This is not a conventional ticket-taking position. You will:Take ownership of challenges from design through to productionSolve complex infrastructure issues (handling petabytes of data, near real-time processing, and high reliability)

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Manager Position at CFGI | Paris, France

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