Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

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, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance 
• Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams 
• Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are: 

• A seasoned backend engineer with deep expertise in designing and building distributed systems 
• Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor 
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle 
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners 
• Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• 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

Location preference: Bordeaux.

As the Technical Customer Success Manager (TCSM) at Carbon Robotics you are responsible for ensuring customer success via successful implementation and maintenance of Carbon Robotics Equipment. This includes training of operators, equipment supervisors or farm managers by making usage recommendations based on agronomic knowledge and implementing set up. In the post implementation stage you are responsible for customer machinery preventative maintenance and repairs. You will ensure continued customer satisfaction post delivery by establishing a trustworthy relationship. Other responsibilities will include acting as a liaison to engineering and product departments by communicating customer wishes and complaints, equipment performance and pain points or bottlenecks.`

Duties & Responsibilities:

• Deliver efficient field support to customers using Carbon Robotics equipment to include verifying machines operating at peak efficiency by proper calibration, monitoring, and regular preventive maintenance service that will be performed in both indoor and outdoor environments. 
• Serve as the point of contact for assigned accounts by training operators and all farm personnel required to successfully implement the use of Carbon Robotics equipment to growers.
• Logging, documenting and communicating customer experience and pain points to engineering and product teams.
• Quickly respond to customer concerns and identify the issue(s), in collaboration with other Carbon Robotics departments/teams. 
• Willingness to travel to customer locations is expected to be greater than 50% of the time in peak seasons.
• Overseeing and management of service tickets for service territory.
• Exercise safe working practices and procedures at all times.
• Participate in the rotation of weekend on-call duties and after-hours phone support.
• Demonstrates work cleanliness.
• Maintain all company property, including service truck, tools, laptop, Ipad, and safety equipment in good working condition.
• Build strong cross-functional relationships with customers and teams within Carbon Robotics.
• Attend in person or virtual FRE related meetings with other service team members to stay current with the Carbon Robotics Ops team agendas. 
• Support demonstration and  implementation activities.
• Collect and upload data to assist with model labeling.
• Attend online or in person refresher training classes to promote continuous improvement of technical and non-technical skillsets.
• The ability to learn and teach every facet of usage of equipment, from transportation, maintenance to field utilization and operation.
• In addition to the duties listed above, the position holder must carry out tasks assigned by their supervisor that are essentially related to their duties.

Ideal Knowledge, Skills, and Abilities:

• Ability to diagnose problems with equipment or machinery 
• Strong mechanical and electrical aptitude with the ability to troubleshoot mechanical and electrical problems
• Ability to remain calm, composed, and articulate when dealing with difficult customer situations
• Excellent relationship management, customer service, and communication skills
• Desire for solving customer issues and advocating for their success in a fast-paced and unstructured environment
• Ability to lift up to 55 pounds
• Trailer towing experience preferred but not required
• Valid driver’s license required
• Verbal and Written English literacy required and bilingual requirements are regionally preferred.

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture.