This position is 100% remote anywhere in the France

Overview:

We are seeking a software sales professional to join our team. The Sales Account Executive is a results-focused, motivated sales professional who will identify and bring to closure direct sales engagements, upgrade and expand existing accounts, and work closely with regional partners. They will develop and implement a comprehensive strategy that maximizes opportunities for Precisely products and services. As Precisely’s growth and success is based on our customer’s success, a passion for owning and driving the complete customer lifecycle is critical.

What you will do: 

• Learn and understand Precisely products and services, and the Precisely approved sales methodology.
• Develop an understanding of key industry trends, market opportunities, and common pain points in your territory.
• Develop and execute business plans to generate pipeline and revenue within assigned territory.
• Build strong client relationships and leverage that network to expand into new accounts or buying centers.
• Collaborate with Precisely’s Marketing, Sales Engineering, Services teams and more to generate customer demand and compelling business propositions based on Precisely’s solutions.
• Leverage internal resources and the broader Precisely ecosystem - channel partners, distributors, and technology partners - to extend your reach and impact within your territory.
• Prioritize customer value and experience throughout the customer lifecycle.
• Document sales steps and manage your territory forecast utilizing Precisely’s Salesforce CRM.
• Support the SD of SEMEA in accordance with the region’s strategy and plans.

 What we are looking for:

Requirements:

• Bachelor’s degree in business or related field and 5+ years in enterprise software sales (SaaS preferred).
• Equivalent experience will be accepted in place of the educational requirement.
• Strong client engagement and relationship-building skills at all levels.
• Strong negotiation skills and demonstrated success with value- or outcome-based selling.
• Strong analytical, problem solving, and time management skills.
• Working knowledge and selling experience in the SAP space.
• High levels of intellectual curiosity and adaptability; you strive to understand your clients’ businesses and collaborate to define innovative solutions.
• Approximately 25% travel is required.

AI Skills/Knowledge

• Translate customer corporate strategy into an aligned account plan
• Ability to build and execute multi‑year account strategies, not opportunistic deals
• Prioritise initiatives based on ARR growth, cross-sell potential, and executive sponsorship
• Confident engagement with C‑suite and VP‑level stakeholders
• Connect product value to industry trends and transformation initiatives
• Forecast accuracy and pipeline discipline
• Ability to orchestrate complex, multi‑country or multi‑entity deals
• Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.

Preferred Requirements

• SaaS software sales experience
• Experience selling into very large accounts – all industries
• Successful selling history within a global company with a broad products / services portfolio.
• Demonstrated experience driving complex sales cycles and customer success within a matrixed selling organization.
• Paris  geographic location is preferred, but not required for otherwise highly qualified candidates.

#LI-IH1

#LI-remote

What You Will Do

At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Staff Research Scientist, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care.

Your responsibilities include (but are not limited to):

• Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale.
• Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI.
• Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences.
• Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance.
• Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices.

Who You Are

• Technical Expertise:
• PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field; Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus;
• Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI.
• Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX).
• Familiarity with modern data tools and scalable training on large datasets.
• Innovator & Problem Solver:
• Track record of independently driving research and translating it into real-world applications.
• Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly.
• Curiosity and drive to learn, research, and apply new machine learning techniques.
  
  
• Collaborative & Communicative:
• Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences.
• Passionate about sharing knowledge and contributing to a culture of learning and innovation.
  
  
• Mission-Driven:
• Motivated by Doctolib’s mission to make healthcare better for all. Eager to solve meaningful problems with technology.
• Detail-oriented, rigorous, and committed to delivering high-quality, production-ready solutions.

What we offer 

• Free comprehensive health insurance for you and your children

• 25 days of paid vacation per year, plus up to 14 days of RTT

• Free mental health and coaching services through our partner Moka.care

• Work from abroad for up to 10 days per year thanks to our flexibility days policy

• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib

• A subsidy from the work council to refund part of the membership to a sport club or a creative class

• 50% reimbursement of your public transport subscription

• Parent Care Program: receive one additional month of leave on top of the legal parental leave

• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

• Relocation support in case of international mobility

• Access to the best AI tools for coding, development and dedicated training

 The interview process  

• HR Screen 
• Call with Research Team Member 30 mins
• Scientific Presentation + Case Study 1 hour 30mins
• Behavioral Interview 1 hour 15mins
• At least one Reference check 

 Job details 

• Permanent position 
• Full Time
• Location: Doctolib Paris office in Levallois Perret
• Work mode: Hybrid (3 days/week in the office)
• Start date: ASAP

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Lead a fast-growing organization around 20 people across 2 teams soon to be 3. 

• You will define the roadmap for your scope and work with ICs and managers to establish the technical direction

• Collaborate with the engineering team and product manager to define the future of the roadmap

• Create a strong organizational culture centered around our engineering standards and customer- focused approach

• Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring

Who You Are: 

• You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. 

• An experienced engineer and team player with strong technical skills to influence the technical direction of your teams

• A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers

• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity.

• You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous professional development, product training, and career pathing

• Intradepartmental mentor and buddy program for in-house networking

• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

• Access to Inclusion Talks, our Internal panel discussions

• Free, global mental health benefits for employees and dependents age 6+

• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
• Stay at the forefront of foundation models, world models, and RL-based agent research
• Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Who You Are:

• You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
• You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
• You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
• You are familiar with efficient training, post-training, and inference techniques for large foundation models
• You can explain complex models and research findings to both technical and non-technical audiences

Bonus Points (any of the following):

• Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• Experience writing production data pipelines and applications
• Hands-on experience with GPU programming and optimization, including CUDA

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-Hybrid

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to

provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. 

You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Manage and grow the Training & Serving team, directly managing 10+ engineers
• Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. 
• Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on work: Code reviews, design reviews and some coding

Who You Are: 

• Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager
• Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader
• Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
• You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders
• You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog

#LI-Hybrid

The AI Platform team at Datadog builds the infrastructure that powers the next generation of generative AI features across our products.

As a Senior Software Engineer on the Evaluation and Annotation team, you will design and evolve the systems that define and measure AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows that assess correctness, safety, bias, and reliability across production use cases.

Your work will directly shape how Datadog ships and maintains trustworthy AI capabilities. You will partner closely with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that continuously improve model behavior.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across Datadog’s product ecosystem
• Lead efforts to build human-in-the-loop and automated annotation pipelines for model assessment, ensuring high-quality training and feedback data
• Define and implement continuous evaluation workflows in CI/CD and production environments to monitor model behavior in real time
• Analyze model outputs for correctness, bias, safety, and reliability and translate insights into actionable improvements
• Collaborate cross-functionally with Applied Scientists, Researchers, product managers, and platform engineers to establish best practices for responsible AI
• Mentor team members and contribute to long-term technical strategy focused on AI quality, trust, and safety

Who You Are:

• You have 6+ years of experience building large-scale distributed systems or machine learning systems in production environments
• You’ve designed infrastructure to support AI/ML model evaluation, annotation, or benchmarking workflows
• You approach engineering with a focus on system design, long-term maintainability, and reliability
• You bring a strong understanding of AI/ML concepts, including evaluation metrics, prompt analysis, and trust & safety challenges
• You thrive in cross-functional teams and communicate effectively with technical and non-technical stakeholders
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
• Bonus: you’ve used open-source tools like evaluation frameworks (e.g., lm-eval-harness), vector databases, or human feedback loops

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.

We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:

• Large‑scale experimentation, training, deployment, and monitoring

• Developer toolchains for agents and other GenAI applications

• Low‑latency serving infrastructure that plugs AI features into any Datadog product

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
• Create a development ecosystem that enables rapid experimentation and deployment of algorithms 
• Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams 
• Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
• You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
• You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
• You have extensive experience executing projects that span data engineering, data science, and machine learning
• You ship fast, route around blockers, and are comfortable working with ambiguity
• You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your main responsibilities will include:

Delivering end-to-end AI projects

• Frame use cases with business teams, validate data availability, and define the right approach.
• Design and implement machine learning or generative AI solutions that create measurable business impact.
• Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

• Translate business requirements into robust AI pipelines and architectures.
• Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
• Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

• Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
• Build strong relationships with client stakeholders, from operational teams to managers.
• Act as a go-to expert for technical guidance within projects.

Contributing to team and knowledge development

• Mentor junior data scientists, provide feedback, and support their growth.
• Share best practices through workshops, documentation, and informal training sessions.
• Contribute to internal accelerators and tools to increase delivery efficiency across projects.
• Maintain active technology watch and bring new methods, tools, and frameworks into practice.

Qualifications - What we are looking for

• 3+ years of hands-on experience developing and deploying data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

• Show intellectual curiosity and structured problem-solving.
• Approach challenges with pragmatism and creativity.
• Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.

Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your main responsibilities will include:

Delivering end-to-end AI projects

• Frame use cases with business teams, validate data availability, and define the right approach.
• Design and implement machine learning or generative AI solutions that create measurable business impact.
• Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

• Translate business requirements into robust AI pipelines and architectures.
• Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
• Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

• Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
• Build strong relationships with client stakeholders, from operational teams to managers.
• Act as a go-to expert for technical guidance within projects.

Contributing to team and knowledge development

• Mentor junior data scientists, provide feedback, and support their growth.
• Share best practices through workshops, documentation, and informal training sessions.
• Contribute to internal accelerators and tools to increase delivery efficiency across projects.
• Maintain active technology watch and bring new methods, tools, and frameworks into practice.

Qualifications - What we are looking for

• 3+ years of hands-on experience developing and deploying data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

• Show intellectual curiosity and structured problem-solving.
• Approach challenges with pragmatism and creativity.
• Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.

Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your main responsibilities will include:

Delivering end-to-end AI projects

• Frame use cases with business teams, validate data availability, and define the right approach.
• Design and implement machine learning or generative AI solutions that create measurable business impact.
• Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

• Translate business requirements into robust AI pipelines and architectures.
• Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
• Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

• Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
• Build strong relationships with client stakeholders, from operational teams to managers.
• Act as a go-to expert for technical guidance within projects.

Contributing to team and knowledge development

• Mentor junior data scientists, provide feedback, and support their growth.
• Share best practices through workshops, documentation, and informal training sessions.
• Contribute to internal accelerators and tools to increase delivery efficiency across projects.
• Maintain active technology watch and bring new methods, tools, and frameworks into practice.

Qualifications - What we are looking for

• 3+ years of hands-on experience developing and deploying data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

• Show intellectual curiosity and structured problem-solving.
• Approach challenges with pragmatism and creativity.
• Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.

Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

Context & Mission

As Dataiku scales, we are looking for a new member in our IT team to accompany Dataiku's growth.
The main responsibility for this role is to be the owner of the IT Processes and Knowledge Base, allowing us to collectively reach higher levels of reliability, quality and collaboration.

You’ll collaborate closely with every part of the company’s IT organization : IT Support, Operations and Security, Infrastructure, Systems teams (People, Finance, Business) - to optimize and align practices among them.

What you will do

IT Processes

• Scope: Change Management, Incident Management, Project Management (PM)
• Improve and strengthen our processes, following industry best practices/framework (eg: ITIL) and adapted to Dataiku’s context and ways of working
• Lead the application on the field: be a support for teams involved in the process, act as a facilitator, organize periodic meeting, ensure the tools are well configured and easy-to-use
• Configuration of the tools used to support the processes (ITSM, PM)
• Continuous improvement based on your judgement and team’s feedback

Knowledge

• Knowledge Management - define process, map responsibilities and tools to use
• Knowledge Base - set and met objectives (eg: completeness, keep up-to-date)
• System Integration Map - build and maintain a map of existing integration between Application and Systems

What success looks like

First 3 months

• Fully onboarded members of the IT team (get to know the teams, the tools)
• Working closely with IT Support and IT Operations, suggesting and implementing improvements in the processes
• Review of our current Knowledge Base

First 6 months

• Solidify our processes and be a mentor on Change/Incident/Project management
• Onboarded in our tools management (ITSM, PM)
• Help deliver visible improvement in our Knowledge base
• Validate a plan to build the integration map

First year

• Leader and referent for IT processes - among all teams composing the IT function
• Robust Knowledge Management process in place
• Build and maintain an up-to-date version of the Integration Map

What we are looking for

• 3+ years of experience in the IT fields - covering at least some of the assignments listed in this position
• Genuine interest in IT processes & Knowledge management - and their practical application
• You are
• process-oriented, methodic, and enjoy keeping things well-organized
• enjoy being a facilitator, design solution in a collaborative manner
• a doer, proactive, looking to have an impact on the team

Nice to have

• Experience managing an ITSM platform and/or Project Management tool
• Experience with System Integration Mapping
• Interest in Automation and Generative AI
• Certification (ITIL, Project Management)

—

ITSM : Freshservice, ServiceNow, Jira Service Management…

Project Management : PMP, Prince 2…

#LI-Hybrid #LI-FR1

Business Development Representative — Italy 

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

We are looking for a Business Development Representative to join our growing team focused on the Italian market. As a Business Development Representative, you are responsible for driving Dataiku's business development activities across Italy. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimize the process to drive performance.

Location: This role is focused on the Italian market. You can be based in our Milan office, or within our Mediterranean hubs in Madrid or Paris.

How You'll Make An Impact

• Lead Management: Manage a large volume of daily inbound and outbound leads within the Italian territory—connecting via phone, email, and LinkedIn to qualify them.
• Strategic Campaigns: Engage with our Sales and Marketing executives to design, research, and execute outbound vertical and geographical campaigns to grow the sales pipeline in Italy.
• Enterprise Collaboration: Work closely with our Account Executives to prospect and help close large enterprise deals within the Italian "Fortune 500" equivalent.
• Nurture: Educate and nurture early-phase prospects for potential future opportunities.
• Domain Expertise: Demonstrate knowledge of Dataiku and its value proposition to converse with data and business leaders in Italy across industries such as Manufacturing, Banking, Fashion/Retail, and Energy.
• Optimization: Analyze and report on your weekly activities to identify potential optimizations for the Southern EMEA market.

What You'll Need To Be Successful

• Language Mastery: Native-level fluency in Italian (verbal and written) is essential.
• The Multilingual Edge: Proficiency in French and/or Spanish is highly preferred and will be a major asset for collaborating across our South EMEA offices.
• Communication: Strong interpersonal skills and excellent verbal and written communication.
• Experience: Relevant experience and proven success in sales or business development within the software/tech industry or a high-growth startup.
• Organization: Able to demonstrate strong organizational and project management skills.
• Data-Driven: Highly analytical and understand the importance of tracking and reporting on your outreach.
• Curiosity: Deeply interested in innovative topics like Data Science, Predictive Analytics, and Generative AI.

#LI-CM

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:

• Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.
• Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.
• Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.
• Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.
• Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.

Beyond these core responsibilities, you will also be involved in:

Managing the country’s data science team

• Support team staffing, ensuring the right skills are applied to meet project needs.
• Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.
• Help define the team’s career framework and participate in performance review processes.
• Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team.

Developing Artefact’s technical expertise

• Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases.
• Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects.
• Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs.
• Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning.

Being a great tech manager

• Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support.
• Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions.
• Anticipate risks and unblock teams, ensuring projects stay on track.
• Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver.
• Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted.

Qualifications - What we are looking for

• 5+ years of hands-on experience developing data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience with industrializing AI workflows in cloud environments.

In addition to technical expertise, we value individuals who can:

• Lead teams, manage stakeholders, and deliver impactful projects in a business context.
• Show intellectual curiosity and excellent problem-solving skills.
• Tackle challenges with pragmatism and creativity.
• Support growth, mentoring juniors and constructively challenging seniors.
• Earn trust from both peers and business stakeholders.

 Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:

• Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.
• Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.
• Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.
• Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.
• Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.

Beyond these core responsibilities, you will also be involved in:

Managing the country’s data science team

• Support team staffing, ensuring the right skills are applied to meet project needs.
• Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.
• Help define the team’s career framework and participate in performance review processes.
• Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team.

Developing Artefact’s technical expertise

• Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases.
• Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects.
• Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs.
• Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning.

Being a great tech manager

• Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support.
• Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions.
• Anticipate risks and unblock teams, ensuring projects stay on track.
• Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver.
• Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted.

Qualifications - What we are looking for

• 5+ years of hands-on experience developing data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience with industrializing AI workflows in cloud environments.

In addition to technical expertise, we value individuals who can:

• Lead teams, manage stakeholders, and deliver impactful projects in a business context.
• Show intellectual curiosity and excellent problem-solving skills.
• Tackle challenges with pragmatism and creativity.
• Support growth, mentoring juniors and constructively challenging seniors.
• Earn trust from both peers and business stakeholders.

 Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:

• Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.
• Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.
• Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.
• Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.
• Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.

Beyond these core responsibilities, you will also be involved in:

Managing the country’s data science team

• Support team staffing, ensuring the right skills are applied to meet project needs.
• Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.
• Help define the team’s career framework and participate in performance review processes.
• Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team.

Developing Artefact’s technical expertise

• Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases.
• Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects.
• Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs.
• Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning.

Being a great tech manager

• Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support.
• Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions.
• Anticipate risks and unblock teams, ensuring projects stay on track.
• Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver.
• Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted.

Qualifications - What we are looking for

• 5+ years of hands-on experience developing data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience with industrializing AI workflows in cloud environments.

In addition to technical expertise, we value individuals who can:

• Lead teams, manage stakeholders, and deliver impactful projects in a business context.
• Show intellectual curiosity and excellent problem-solving skills.
• Tackle challenges with pragmatism and creativity.
• Support growth, mentoring juniors and constructively challenging seniors.
• Earn trust from both peers and business stakeholders.

 Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (convenio de prácticas) signed by your school or university for 6 months and you are able to start your internship around August 31th in Madrid. 
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• Spanish is mandatory at a fluent level and you can communicate clearly in English. French is not mandatory. 

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 1800€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
  Technical interview 2 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. 

🌍 About the Team

You will join the Healthcare Access stream within the Patient Domain at Doctolib. This stream sits at the very heart of our product: it owns the end-to-end journey patients take to access care, from discovering the right practitioner to booking their appointment and beyond.

Our teams are tackling some of the most exciting and high-impact challenges in digital health: optimizing search and discovery experiences to help patients find the right care faster, building seamless appointment booking funnels that work at massive scale, crafting a delightful and reliable patient app experience, and expanding access to healthcare for new users and new use cases across Europe.

As a Staff Engineer in this stream, your work will directly shape the interfaces and systems used by millions of patients every day. This is where web performance, frontend architecture, and user experience are not just engineering concerns - they are the foundation of how people access their health.

🎯 Your Impact

As a Staff Engineer, you will be a key technical driver for the Healthcare Access stream. With a strong frontend expertise, you will shape the technical vision of our patient-facing products, ensure architectural excellence, and have a lasting impact on the way we build and evolve our platform at scale.

In a stream where organic search and discoverability are key growth levers, you will also be a champion of web performance and search visibility, ensuring our patient-facing surfaces excel on Core Web Vitals, SEO, and emerging Generative Engine Optimization (GEO) practices.

You will work in close partnership with Engineering Managers, Principal Engineers, Product Managers, and Designers to deliver high-impact projects that simplify and improve how patients access healthcare.

🔧 What You Will Do

Technical Leadership

• Define and drive the frontend technical strategy for the Healthcare Access stream, ensuring architectural decisions align with Doctolib's product and engineering vision
• Lead technical discoveries, architect complex systems, and build consensus on technical direction across engineering, product, and leadership teams
• Identify and introduce new frontend technologies, frameworks, and methodologies when relevant

Engineering Excellence

• Be deeply hands-on: write code, lead technical design, and solve hard engineering problems alongside your teammates
• Demonstrate deep expertise in React and the broader frontend ecosystem (TypeScript, performance optimization, accessibility, design systems...)
• Champion web performance as a first-class concern: define and track Core Web Vitals (LCP, INP, CLS), establish performance budgets, and drive continuous improvements across patient-facing surfaces
• Embrace and champion AI-augmented engineering: leverage AI coding tools (GitHub Copilot, Claude Code...) to boost your own productivity and help the team adopt these practices effectively
• Drive efforts to reduce technical debt, improve system reliability, and proactively mitigate risks

Cross-Team Impact

• Define and build cross-functional programs delivering end-to-end solutions across multiple teams
• Connect teams across the stream by removing collaboration barriers and establishing knowledge-sharing rituals

Mentor and Scale

• Actively mentor and guide engineers across multiple teams through code reviews, pairing sessions, and technical guidance
• Contribute to hiring, knowledge-sharing, and building a culture of engineering excellence across the stream

User First

• Champion a user-centric approach and lead simplification initiatives that reduce complexity and improve the patient experience
• Drive SEO and GEO excellence: ensure our pages are discoverable by both traditional search engines and AI-powered assistants, leveraging structured data, semantic HTML, and content clarity at scale

🛠️ Our Tech Stack

• Frontend: React, TypeScript, React Native (mobile)
• Backend: Java/Spring Boot, Ruby on Rails
• Data: PostgreSQL, OpenSearch, Redis
• Practices: continuous deployments, CI/CD pipeline, test-driven development, feature flags, canary deployments

🙋 What you’ll bring

Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply! You’ll be a great fit if:

• You have extensive experience (8+ years) as a Staff or Principal Engineer with a strong frontend specialization
• You are a technical leader who can influence strategy and build alignment across teams and leadership
• You have deep expertise in React and frontend architecture at scale, and are comfortable navigating the full stack when needed
• You think in terms of system design, able to spot single points of failure and design for reliability and scalability
• You have a strong understanding of web performance (Core Web Vitals, Lighthouse, performance budgets) and search engine visibility (SEO fundamentals, structured data, and emerging GEO practices) as competitive differentiators for consumer-facing products
• You have adopted AI-augmented development and actively experiment with AI tools to enhance your own productivity and that of your team
• You are user obsessed: you go the extra mile to fix the hard edge cases that users hit
• You have excellent communication skills and know how to turn complex technical topics into clear, actionable decisions
• You are comfortable speaking English in your day-to-day with the team

Now, it would be fantastic if:  

• You are passionate about healthcare and motivated by the mission of improving access to care for millions of people
• Experience in a high-traffic, consumer-facing web product is a strong plus

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Coding interview
• System Design Interview
• Behavioral Interview
• At least one reference check
• Offer!

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Full-time
• Location: Paris, France
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector? Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas:

The areas of expertise we are looking for :

• ML Engineering & MLops : Python proficiency, Model deployment, Evaluation frameworks (Offline/Online) & Model monitoring
• Natural Language Process (NLP) : Clinical NLP, LLM expertise Deep Learning or Speech / Language modeling 
• LLMops & Generative AI : Prompt Engineering, RAG, LLM fine-tuning, Embedding models, Agent frameworks 
• Automatic Speech Recognition (ASR) : Voice Activity Detection, Interactive voice assistants, audio processing, Speech-to-text 
• Search, Ranking, information retrieval
• Reasoning capabilities  : Logical reasoning, Multi-step reasoning, Chain-of-thought approaches
• Knowledge representation : Knowledge graphs, ontologies, Semantic modeling 
• Reinforcement Learning : RL algorithms, Policy optimization, Reward modeling

Most of our positions require:

Before reading further, if you don't have the exact profile described below, but you think this job description matches your skills and aspirations, we still encourage you to apply.

• Hold a degree in computer science, applied mathematics, data science, or related field (Master's, PhD, or equivalent)
• Master machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn)
• Have hands-on experience with LLMs, open and closed source  Proficient in Python
• Possess strong analytical skills and a results-oriented approach
• You speak English fluently (international work environment)

It would be fantastic if:

• You have experience in healthcare or medical NLP
• You master RAG techniques, embeddings, and vector search
• You know MLOps technologies and model deployment in production (Kubernetes, Docker, MLflow)
• You have contributed to open-source projects or published in AI conferences

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (convenio de prácticas) signed by your school or university for 6 months and you are able to start your internship on August 31th in Paris. 
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• Spanish is mandatory at a fluent level and you can communicate clearly in English. French is not mandatory. 

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 2000€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. 

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (Convention de stage) signed by your school or university for 6 months and you are able to start your internship on August 31th.
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• French is mandatory at a fluent level and you can communicate clearly in English.

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 2000€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
• Technical interview 2 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. 

About the Position

Bluefish is on the cutting edge of AI-powered SaaS, helping brands understand their performance and optimization in the new AI funnel. As part of our Marketing Services team, we’re looking for a seasoned, client-facing Customer AI Strategist to guide enterprise marketers across Europe through their AI Marketing journey.

In this role, you will be a trusted consultant and advisor to senior stakeholders at some of the world’s largest brands. You will lead customers in building and implementing AI Marketing strategies that drive measurable results across diverse markets. If you thrive at the intersection of data, strategy, and storytelling—and love shaping business transformations within the evolving European regulatory and tech landscape—this role is for you.

What You’ll Be Doing

• Strategic AI Marketing Advisory – Serve as a senior advisor to customer executives, shaping their AI Marketing adoption roadmap and ensuring Bluefish solutions deliver measurable impact.
• EMEA Customer Relationships – Own strategic relationships with key enterprise accounts across the region, delivering executive-level insights, quarterly business reviews (QBRs), and tailored optimization plans that drive retention and growth.
• Market Intelligence – Stay ahead of AI, SaaS, SEO, and marketing technology trends—specifically regarding European market dynamics—bringing forward-looking insights to customers and helping Bluefish anticipate industry shifts.
• Innovation & Best Practices – Identify and codify patterns from customer engagements to shape Bluefish’s global best practices, thought leadership, and playbooks for AI-powered performance.
• Cross-functional Partnership – Collaborate with our NYC-based business operations and Berlin-based engineering teams to bring customer feedback into product strategy, ensuring alignment between European customer needs and Bluefish’s roadmap.
• Operational Excellence & Scalability – Responsible for designing and implementing scalable internal operational playbooks. You will streamline delivery processes to provide high-quality, high-value strategic outputs for clients with increased speed.

• Product Strategy Partnership – Act as the "voice of the customer" for our engineering and product teams. You will translate frontline client challenges into product feedback/requirements, helping prioritize features that solve real-world AI marketing hurdles.

Qualifications

• 5+ years of relevant experience owning customer relationships in senior client-facing roles (e.g., management consulting, technical account management, or strategic agency roles) within a SaaS or high-growth tech environment.
• Data-Driven Strategy – Strong experience in data analysis and optimization; you can translate complex datasets into clear, actionable recommendations for C-suite stakeholders.
• AI Fluency – Familiarity with prompt engineering and large language model (LLM) behavior is a major plus.
• Technical Literacy – Proficiency with analytics tools (e.g., Excel, SQL, BI dashboards) and an understanding of the modern marketing tech stack.
• Communication Excellence – Exceptional presentation skills with the ability to navigate complex organizational structures and influence both technical and non-technical stakeholders.
• Adaptability & Grit – Demonstrated resourcefulness in a fast-paced startup environment; you are comfortable navigating ambiguity and "rolling up your sleeves."
• Education – Bachelor’s degree in a technical, business, or finance-related field preferred.
• Language Skills – Fluency in English is required; proficiency in French, German, or other European languages is a plus.

Nice to Haves

• Search Background – Experience in SEO (keyword strategy, organic growth) or Search Generative Experience (SGE) optimization.
• Digital Marketing – Prior roles in performance marketing, marketing operations, or conversion rate optimization (CRO).
• Regulatory Awareness – Basic understanding of the European AI Act and GDPR considerations as they relate to marketing technology.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. 

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin.  

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI 
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry 
• Join an experienced high-performing team where you will have immediate ownership and impact 
• Experience a true meritocracy with significant career growth upside as the business scales 

Our Values:

• Demonstrated grit and resourcefulness—you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
• Commitment to craftsmanship—you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability—able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.