Senior Customer Success Engineer at Dataiku | United States

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Dataiku is the leading platform for AI success, serving as the enterprise orchestration layer for building, deploying, and governing AI solutions. In a unified environment, teams can design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control that enterprises demand. Dataiku integrates seamlessly with various data platforms, cloud infrastructures, and AI services, enabling businesses to execute AI strategies across diverse vendor environments while maintaining centralized governance.The world's top companies trust Dataiku to operationalize AI, transforming it into a key driver of business performance that delivers measurable value. For more insights, explore the Dataiku blog, LinkedIn, X, and YouTube.Why Engineering at Dataiku?Dataiku’s platform, whether deployed on-premise, in the cloud, or as SaaS, embodies our dedication to quality and innovation by connecting various data science technologies. Our technology stack reflects our commitment to integrating the best data and AI technologies, ensuring that we select tools that genuinely enhance our product. From utilizing the latest large language models (LLMs) to supporting open-source communities, you'll work with a dynamic array of technologies and contribute to the collective knowledge of global tech innovators. Discover more about engineering at Dataiku here.Your Impact:As a Site Reliability Engineer (SRE) with advanced networking and security skills, you will join our Cloud team focused on developing and operating the Dataiku managed offering. Your responsibilities will encompass a wide range of tasks, including architecting and maintaining robust network security measures (such as PrivateLink and IPSec), ensuring compliance with industry standards and regulations, and monitoring and deploying our cloud offerings.You will be tasked with building and operating a reliable, secure, and cost-efficient infrastructure to support the Dataiku SaaS offerings. This role presents a unique opportunity to engage in a project central to our company’s vision, with a strong and direct impact on our operations.

Dataiku is looking for an Enterprise Account Executive to join the team in a remote role based in the United States. This individual contributor position was created to support continued growth and rising demand for Dataiku’s AI and analytics platform. Role overview The Enterprise Account Executive will help expand Dataiku’s reach across multiple industries. This role focuses on building new relationships and strengthening connections with existing customers, working directly with enterprise organizations to support their data and analytics goals. What you will do Manage the entire sales cycle within a defined territory, engaging both new prospects and current clients from diverse sectors. Work with enterprise customers to understand their data and analytics needs, and guide them in developing strategies using the Dataiku platform. Partner with teams in marketing, product management, and sales engineering to showcase how Dataiku’s platform (DSS) delivers business value. Requirements Ability to communicate the value of data and advanced analytics to enterprise clients. Experience working with large organizations and managing complex sales cycles. Comfort engaging across industries and building relationships within a broad network. This position is remote and open to candidates based in the United States.

About Dataiku Dataiku provides a unified platform for teams to develop, deploy, and manage AI, analytics, and machine learning projects. The platform integrates with a range of data sources, cloud providers, and AI services, helping organizations maintain centralized governance and collaboration. Businesses worldwide use Dataiku to turn AI into measurable business results. Learn more about Dataiku on our blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring an Enterprise Account Manager for the Americas region. This role manages and grows a portfolio of enterprise clients, focusing on organizations with annual revenues between $1 billion and $5 billion. The position covers the full sales cycle, from nurturing existing accounts to identifying and securing new clients. What You Will Do Retain and expand existing enterprise accounts by ensuring clients see value, anticipating risks, and securing renewals. Develop a thorough understanding of assigned accounts and build engagement strategies for all key decision-makers. Identify and win new business by converting inbound leads and executing targeted outbound efforts in your territory. Maintain accurate sales forecasts, manage deals effectively, and ensure CRM records are up to date. Collaborate closely with Renewal Managers, Account Development Representatives, Customer Success Engineers, Sales Engineers, Partner Managers, and Services to coordinate territory efforts. Lead executive alignment through regular QBRs (Quarterly Business Reviews) and QSRs (Quarterly Success Reviews), keeping internal teams focused on client results. Location This position is open to candidates based in the Americas.

Join Dataiku as an Enterprise Account Executive and be at the forefront of transforming businesses with AI-driven solutions. We are seeking a dynamic professional who thrives in a fast-paced environment and is passionate about leveraging data to drive impactful decision-making.Your role will involve building strong relationships with enterprise clients, understanding their unique needs, and delivering tailored solutions that maximize the value of Dataiku's platform. You will work closely with cross-functional teams to ensure client satisfaction and drive revenue growth.

About Dataiku Dataiku provides a unified platform for building, deploying, and managing AI and analytics projects. The platform supports collaboration, transparency, and control for enterprise teams. Dataiku connects with a wide range of data platforms, cloud services, and AI tools, allowing organizations to manage AI initiatives with centralized oversight. Many leading companies use Dataiku to turn AI into measurable business value. Learn more about Dataiku through their blog, LinkedIn, X, and YouTube. Role Overview: Senior Data Scientist - West (Remote, United States) Senior Data Scientists at Dataiku combine technical expertise with strong client interaction. The role covers the full customer lifecycle: helping clients discover the Dataiku platform, integrating it with their technology stack, delivering user training, and collaborating on data science projects from initial idea through deployment. What You Will Do Work directly with clients to address real-world business problems using Dataiku Guide clients as they explore, integrate, and adopt the platform Deliver hands-on training and support for Dataiku users Collaborate on data science projects, from design to deployment Communicate technical concepts clearly to both technical and non-technical audiences Technical Stack Daily work with Python and SQL Occasional use of R, Pyspark, and JavaScript Frequent use of the Dataiku platform itself What We Look For Strong technical background in data science and analytics Experience communicating complex ideas to clients and colleagues Interest in learning new technologies and modeling approaches Comfort working in both technical and client-facing settings

Role: Dataiku DSS SpecialistJob ID: 17-76450Location: Peapack, NJContract Duration: 12 MonthsEngagement in Analytics and Big Data Analytics initiatives.Serve as a Dataiku Support Analyst to assist in operational tasks.Hands-on experience required in the development or maintenance of Dataiku (DSS) implementations within a big data environment.Familiarity with Alation is an added advantage.Experience in Pharma Commercial data is preferred but not mandatory.Responsible for analyzing and resolving support tickets, service requests, and operational tasks in accordance with SLAs.Participation in Operations status meetings and client interactions to understand issues and discuss solutions.Update and maintain support documentation as required.Assist with troubleshooting issues and perform minor upgrades as necessary.Seeking a candidate with in-depth knowledge of the Dataiku system.This is a long-term contract opportunity for the right candidate.Regards,Gaurav Uniyal

Join Dataiku as a Senior Customer Success Engineer and play a pivotal role in shaping the success of our clients in the North American region. In this position, you will leverage your technical expertise and customer engagement skills to help organizations unlock the full potential of their data through our cutting-edge platform.

Role Overview Bellese is hiring a Data Engineer II based in the United States. This role focuses on building and maintaining data pipelines that support business analytics and insights. The position involves processing and analyzing large datasets, with a strong emphasis on data integrity and availability across analytics applications. What You Will Do Develop and maintain data pipelines to support analytics and reporting needs Process, clean, and analyze large volumes of data Ensure data is accurate, consistent, and accessible for analytics teams Work closely with cross-functional teams to design and implement data solutions Support stakeholder requirements by delivering reliable data infrastructure Collaboration and Growth This position works alongside teams from different disciplines to deliver data solutions tailored to business needs. The role offers opportunities to expand technical skills and contribute to projects using modern data technologies.

Join Dataiku as a Senior Sales Engineer and play a pivotal role in driving our sales strategy in the Western region. You will leverage your technical expertise and consultative skills to engage with clients, providing tailored solutions that meet their unique needs. Your ability to communicate complex technical concepts in an accessible manner will be key to your success in this role.As a vital member of our sales team, you will collaborate closely with sales executives to develop impactful presentations, conduct product demonstrations, and assist in technical evaluations. Your insights will also contribute to creating compelling proposals and ensuring customer satisfaction throughout the sales lifecycle.

Dataiku is the platform that facilitates AI success, serving as the enterprise orchestration layer for creating, deploying, and managing AI initiatives. Our unified environment allows teams to design and execute analytics, machine learning, and AI strategies while ensuring transparency, collaboration, and governance essential for enterprises. Positioned atop various data platforms and cloud infrastructures, Dataiku integrates the complete AI stack, enabling organizations to implement AI solutions within multi-vendor ecosystems under centralized governance.Leading global enterprises trust Dataiku to operationalize AI, transforming it into a pivotal business performance engine that delivers tangible value. For further insights, explore the Dataiku blog, LinkedIn, Twitter, and YouTube.We are seeking a Senior Engagement Manager to enhance our team. The ideal candidate is a dynamic professional with a fervor for deploying advanced data technologies and leveraging data science to address complex business challenges. You will play a crucial role in guiding customers through their projects to maximize their utilization of Dataiku.As part of our Services team, you will be instrumental in ensuring seamless client implementations of our solutions. This role necessitates adept coordination of product deployment, comprehensive training, and the promotion of best practices, ultimately positioning users to extract maximum value from our software and contribute to their data-driven operational success.

As an Engagement Manager at Dataiku, you will play a pivotal role in driving customer success and fostering strong relationships within our Northern region. Your expertise will be essential in guiding clients through their data projects, ensuring they maximize the value of our platform. You will collaborate closely with sales, product, and support teams to deliver exceptional service and outcomes.

Role Overview Dataiku is hiring a Solutions Consultant specializing in Supply Chain Management. This position is based in New York, United States. The role centers on applying data science knowledge to help clients improve and transform their supply chain processes. What You Will Do Work directly with clients to understand their supply chain challenges and goals Offer insights and recommendations to strengthen supply chain operations Apply expertise in both data science and supply chain solutions to support business improvements

Join Samsara as a Data Engineer II, where you will leverage your expertise to design and implement robust data pipelines that enhance our data management capabilities. You will collaborate with cross-functional teams to optimize data flow and ensure seamless integration of systems. Your contributions will directly impact our ability to harness insights from data, driving key business decisions and improving operational efficiency.

As a note for all engineering positions: in light of the increase in fraudulent applications and AI-driven candidate impersonation, we have instituted rigorous measures throughout the hiring process to ensure the authenticity of candidates.About UsAt People Data Labs (PDL), we pride ourselves on being the premier provider of people and company data. Our mission is to handle the complexities of data collection and standardization, enabling our clients to concentrate on developing and scaling innovative, compliant data solutions. Our primary focus is to deliver the highest quality data available by integrating thousands of responsibly sourced datasets into a single, developer-friendly source of truth. Leading organizations worldwide rely on PDL’s workforce data to enhance recruiting platforms, power AI models, create targeted audiences, and much more.We seek team members who embody a strong sense of ownership while embracing a collaborative spirit. Our clients face intricate challenges, and we can only help them succeed as a united team. Our Data Engineering Team is the driving force behind our success, and we are on the lookout for top-tier talent.If you aspire to be part of a team exploring the next frontier of data-as-a-service (DaaS) with significant autonomy and opportunities for impactful contributions, this role may be perfect for you. We value engineers who are thoughtful, innovative, and willing to boldly experiment. At PDL, we embrace failure as long as it leads to learning and growth.Key ResponsibilitiesDevelop infrastructure for the ingestion, transformation, and loading of an ever-increasing volume of data from diverse sources utilizing Spark, SQL, AWS, and Databricks.Create an organic entity resolution framework capable of accurately merging hundreds of billions of individual entities into clean, usable datasets.Design and implement CI/CD pipelines and anomaly detection systems aimed at continuously enhancing the quality of data we deliver to production.Innovate solutions for complex, often ill-defined data engineering and data science challenges.Required Technical Skills5-7+ years of relevant experience with demonstrable examples of strategic technical problem-solving and implementation.Solid grounding in software development principles.Proficiency in Python.Expertise in Apache Spark (Java, Scala, and/or Python-based).Familiarity with AWS services and data engineering best practices.

jobgether is looking for a Data Engineer to join the team remotely from Massachusetts. This position centers on building and maintaining data pipelines that power internal decision-making. Role overview The Data Engineer will design, implement, and support systems that move and transform raw data into formats ready for analysis. The work directly supports the company’s ability to make informed, strategic decisions based on reliable information. What you will do Create and maintain data pipelines to ensure data flows smoothly between systems Transform raw data into formats suitable for analysis and reporting Support the organization’s data-driven decision-making by ensuring data is accurate and accessible Location This is a remote role based in Massachusetts.

Dataiku serves as the premier platform for AI success, providing a comprehensive orchestration layer for the development, deployment, and governance of artificial intelligence initiatives. Our all-in-one environment allows teams to design, operate, and manage analytics, machine learning, and AI solutions with the transparency, collaboration, and control that modern enterprises demand. Positioned above data platforms, cloud infrastructure, and AI services, Dataiku seamlessly integrates the complete enterprise AI stack, empowering organizations to execute AI across diverse vendor environments with centralized governance.The world’s top companies trust Dataiku to transform AI into a robust business performance engine that delivers tangible value. To learn more, visit the Dataiku blog, LinkedIn, X, and YouTube.Dataiku is seeking a seasoned Strategic Account Executive to become an integral part of our team. Due to our continued growth and increasing market demand, this role has been newly created. We are looking for a candidate who is passionate about leveraging new technologies and the potential of data and advanced analytics to engage enterprise customers across a diverse array of industries.In this role, you will be responsible for the entire sales cycle, managing your assigned territory and building relationships with prospects and customers. We foster a culture that values accountable teamwork, enabling you to collaborate with colleagues across marketing, product management, and sales engineering. Together, you will demonstrate the significant business value of Dataiku’s Data Science Studio (DSS).

Join Dataiku as an Employee Relations Partner for the Americas, where you will play a pivotal role in fostering a positive workplace culture and enhancing employee engagement. In this dynamic position, you will work closely with management and employees to address concerns, mediate conflicts, and implement policies that align with our organizational values.

Dataiku serves as the premier platform for AI success, functioning as the enterprise orchestration layer for building, deploying, and governing artificial intelligence. In a unified environment, cross-functional teams can design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and governance required by enterprises. As a layer above data platforms, cloud infrastructure, and AI services, Dataiku seamlessly connects the entire enterprise AI stack, empowering organizations to implement AI across diverse vendor environments with centralized oversight.The world’s leading organizations depend on Dataiku to operationalize AI, transforming it into a genuine business performance engine that delivers quantifiable value. For more information, explore the Dataiku blog, LinkedIn, X, and YouTube.About the RoleDataiku is on the lookout for a Senior Business Transformation Advisor to join our esteemed Business Transformation Americas Practice. This team functions as an internal consulting entity with a threefold mission:Assist customer-facing teams in delivering transformative value to our clients.Guide customers through their entire AI maturity journey—from traditional analytics to generative AI and agentic AI deployment—while emphasizing sustainable value creation, governance, and enterprise-wide adoption.Accelerate Dataiku’s transition from a software vendor to a strategic partner.Dataiku is experiencing rapid growth, having recently surpassed $350 million in ARR and expanding its operations globally across the Americas, Europe, and Asia. The ideal candidate will be based in the United States and will report to the regional lead of Business Transformation Americas.