Dataiku Misc Postings

Role Description This position is either onsite from Paris, London, Berlin, and Amsterdam or remote from these countries. As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience. Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...). Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features. At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team. Here's a taste of how you can help the team: - Coding advanced automated test suites to exercise our applications at all levels - Defining manual testing plans, test strategies and define priorities - Working with the developers to ensure that they deliver testable code - Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...) - Mentoring and helping new QA team members Qualifications - You have experience in software test engineering with a significant part in automation (API and/or UI Testing) - You think collaborating with developers is the key for a good testing strategy - You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++) - You discuss choices before implementing them Requirements - Experience with big data technologies, such as Hadoop, Spark, or Kubernetes - Experience with cloud platforms such as AWS, Azure, and GCP - Basic knowledge of Machine Learning Hiring Process - Initial call with a member of our Technical Recruiting team - Peer interview with two members of the team - A take-home test to show your skills - Debrief of your technical test with the VP of Test Engineering - Final Interview with a VP of Engineering Benefits At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Role Description At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! Qualifications - Strong understanding of AI and machine learning concepts. - Experience in analytics and data science. - Ability to work collaboratively in a team environment. - Commitment to personal growth and innovation. Requirements - All employment practices are based on business needs. - No regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. - If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Benefits - Equal opportunity employer. - Commitment to diversity and inclusion. Company Description Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. - Empowering organizations to run AI across multi-vendor environments with centralized governance. - World’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. Dataiku will never ask you for payment of any type during the interview or hiring process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. How you’ll make an impact - Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction. - Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. - Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services. - Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. - Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate. - Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts. - Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers. - Document and share the adoption status and key information to inform internal forecasting and renewal. - Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. - When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. - Stay current on Dataiku’s products, competitive landscape, and data science trends. - Willingness to travel up to 25%. What you’ll need to be successful - Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field. - Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction. - Strong written and oral presentation skills, capable of engaging both business and technical stakeholders. - Strong technical, analytical, and problem-solving skills. - Experience in building and operating communities of practice. - Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes. - Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users - Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required). - Preferably located within the Northeast region of the United States. What will make you stand out - Never-ending intellectual curiosity, detail-oriented, and analytical. - Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL - Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership. - Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers. - Experience in Analytics/AI or other enterprise software (preferred but not required). Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $144,000—$152,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Role Description Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. How you’ll make an impact: - Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction. - Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. - Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services. - Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. - Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate. - Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts. - Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers. - Document and share the adoption status and key information to inform internal forecasting and renewal. - Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. - When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. - Stay current on Dataiku’s products, competitive landscape, and data science trends. - Willingness to travel up to 25%. Qualifications - Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field. - Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction. - Strong written and oral presentation skills, capable of engaging both business and technical stakeholders. - Strong technical, analytical, and problem-solving skills. - Experience in building and operating communities of practice. - Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes. - Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users. - Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required). - Preferably located within the Northeast region of the United States. Requirements - Never-ending intellectual curiosity, detail-oriented, and analytical. - Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL. - Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership. - Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers. - Experience in Analytics/AI or other enterprise software (preferred but not required). Benefits - The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. - Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. - Dataiku offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. - Dataiku reserves the right to amend or modify employee perks and benefits at any time. - US only national base pay ranges: $144,000 — $152,000 USD.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success. How you’ll make an impact - Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management. - Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment - Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer. - Use Dataiku to demonstrate the business value articulated in the usage scenarios. - Design and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value. - Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors. - Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions. - Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management. What you’ll need to be successful - Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems - 6+ years' experience in technical pre-sales, preferably in a high-growth environment - Experience in the data science, analytics, or big data markets preferred but not required - Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc) - Comfortability talking to all levels of customer teams from individual contributors to C-level executives - Experience in Analytics/AI or other enterprise software - Previously worked in a fast paced, growing company - Currently located within MDT and PST timezones for West region Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $160,000—$196,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success. How you’ll make an impact - Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management. - Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment - Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer. - Use Dataiku to demonstrate the business value articulated in the usage scenarios. - Design and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value. - Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors. - Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions. - Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management. What you’ll need to be successful - Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems - 6+ years' experience in technical pre-sales, preferably in a high-growth environment - Experience in the data science, analytics, or big data markets preferred but not required - Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc) - Comfortability talking to all levels of customer teams from individual contributors to C-level executives - Experience in Analytics/AI or other enterprise software - Previously worked in a fast paced, growing company - Currently located within MDT and PST timezones for West region Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $160,000—$196,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.