Dataiku

Manage employment law compliance, advise on employment issues, and lead legal projects. | Extensive employment law experience, strong project management skills, and familiarity with cross-border employment issues. | Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Summary Dataiku is seeking an Analyst Relations Manager to play a pivotal role in scaling our global Analyst Relations program. In this role, you’ll not only keep the program running smoothly through strong project and process management but also directly shape how Dataiku is represented across the analyst community. You’ll manage the operational heartbeat of the Analyst Relations function: coordinating key analyst engagements, leading project workflows for major evaluations (like Gartner Magic Quadrant and Forrester Wave), and ensuring cross-functional alignment across multiple areas within Dataiku. As a trusted partner to the Head of Analyst Relations, your work will enhance program efficiency, scale analyst engagements to increase advocacy, and provide executive teams with the insights and structure they need to engage analysts with confidence. If you’re highly organized, thrive on managing complex processes, and love creating structure in dynamic environments, this is an ideal opportunity to advance your career in Analyst Relations! How You’ll Make an Impact Own Analyst Relations Operations: Serve as the operational backbone of the Analyst Relations program — overseeing scheduling, managing systems and tools, and coordinating key deliverables across teams. Evaluation Project Management: Support participation in analyst evaluations (e.g., Gartner Magic Quadrant, Forrester Wave, IDC MarketScape, etc.) by owning assigned project workflows, managing calendars, deliverable trackers, and stakeholder communications in partnership with the Head of Analyst Relations. Program Planning & Execution: Develop and maintain project timelines for Analyst Relations initiatives, ensuring milestones are clear, dependencies are managed, and deadlines are met. Data Management and Insights Delivery: Maintain centralized tracking for analyst interactions, sentiment, and feedback (ARchitect); support reporting on program metrics and outcomes. Proactively initiate and draft engagement and event recaps - delivered in partnership with the Head of Analyst Relations. Manage Executive Prep: Lead engagement prep (briefings, inquiries, strategy/advisory days, summits) by coordinating the production of briefing docs and scheduling prep calls ahead of interactions as needed. Manage Engagement Planning and Scheduling: Lead coordination of strategic engagement execution - manage calendar updates and versioning with the Head of Analyst Relations, request analyst interactions, and own scheduling. Cross-functional Alignment: Act as liaison between the Head of Analyst Relations and internal teams (Product Marketing, Comms, Sales Enablement, and Product) to align content, timelines, and priorities. Content Stewardship: Manage Analyst Relations documents on shared files, and ensure version control. Own Analyst Relations template repository (prep docs, decks, newsletters, etc) Event Support: Drive project management for analyst summits, analyst attendance at Dataiku events, and related events — from planning through execution and post-event reporting. Continuous Improvement: Proactively refine processes, template structures, and cross-team collaboration efforts to enable more consistent, repeatable, and measurable outcomes. What You’ll Need to Be Successful Education: Bachelor’s degree in Business, Marketing, Communications, or related field. Experience: 3+ years of experience in analyst relations and overseeing major evaluation cycles. Project or program management proficiency is a plus. Operational Expertise: Demonstrated ability to design, manage, and improve workflows, timelines, and cross-functional collaboration. Technical Proficiency: Experience with project management and collaboration tools; experience with Analyst Relations databases (ARchitect or Oz) a strong plus. Analytical Mindset: Strong comfort with tracking metrics, managing dashboards, and analyzing program performance. Communication and Writing Skills: Clear and concise communicator with excellent writing skills, capable of managing up and across teams to ensure alignment and accountability. Attention to Detail: Meticulous with documentation, data accuracy, and version control. Agility: Thrives in fast-moving, evolving environments with shifting priorities and tight timelines. Interest in AI & Technology: Curiosity about enterprise AI, data science, and innovation-driven industries. What Will Make You Stand Out Experience managing evaluation processes or supporting external research submissions. Proven success improving program efficiency through workflow automation or tool utilization. Solid understanding of the analyst landscape (Gartner, Forrester, IDC, etc.), and ability to identify new engagement opportunities for Dataiku. A proactive, solution-oriented mindset — always looking for ways to improve clarity, predictability, and scalability in operations. 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 $120,000—$160,000 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.

Manage the entire sales cycle and own a territory engaging enterprise customers across industries to promote Dataiku's data and analytics platform. | 7+ years software field sales experience, consultative selling skills, ability to sell innovation to large enterprises, competitive positioning, and willingness to travel 30-50%. | Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion. We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku. As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS. What you'll need to be successful - • 7+ years experience in software field sales • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions • Background in selling innovation and new concepts to large Enterprises • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions • Good articulation of competitive positioning • Comfortable traveling 30 to 50% • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration • Early start-up experience is a plus! #LI-LP1

As a Senior Data Platform Engineer, you will deliver data and GenAI solutions to support analytics and data-driven insights across the organization. You will contribute to the Data Platform, focusing on GenAI capabilities, data engineering, and ensuring data quality and governance. | Candidates should have over 5 years of experience in Data Engineering or related fields, with expertise in SQL and Python. A strong understanding of GenAI development, data architecture, and experience with tools like Snowflake and Dataiku DSS is essential. | Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Context: Dataiku is looking for a Sr. Data Platform 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 & GenAI solutions to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will be a key technical member contributing to the Data Platform that fuels centralized analytics, embedded analytics teams, and self-service users across the organization. At this level of seniority, non-technical skills, learning & teaching, and business acumen are critical, along with the expectation of technical excellence as you will help drive technical decision-making and solutioning of key technical challenges both within the team and across the Analytics Community. The technical day to day will primarily be within the Data Platform built using Snowflake, Dataiku & Github. The primary development will focus on GenAI Platform Capabilities, python & SQL (among other languages), DataOps processes built within Github Actions & Dataiku, and data platform processes built within Snowflake & Dataiku. Strong software development lifecycle knowledge and DataOps skills are a must! 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. We are looking for a strong technical engineer to help us to continue to build out our Data Platform internally. GenAI engineering is growing internally, which brings a unique opportunity to help build out a Data Platform for GenAI engineering, along with delivering a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! This role will also play a key part in delivering GenAI architecture & guidance to our stakeholders. Your responsibilities within the team include but are not limited to: Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting Be an expert level engineer within Snowflake for data engineering and security/governance features Build & maintain GenAI Platform solutions focused on security and governance for engineering delivery Build & maintain Python & SQL based platform automation process Build & maintain DataOps process for SDLC delivery Build & maintain data quality metrics & observability to help drive data quality standards Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency Assist Data Engineering with building python & SQL data replication & data pipelines on large & often complex data sets Design data models for both short term and long term use cases to support data warehouse scalability Identify opportunities for improvements & optimization for greater scalability & delivery velocity Collaborate with engineers within GenAI Engineering & Analytics Engineering to build scalable solutions within the Data Platform Perform root cause analysis on often complex errors to help ensure data pipeline availability Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models. Help test new features in Dataiku and partner tools to both provide feedback internally and 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 Promote the Data Platform internally, help train & mentor others within the organization with technical excellence, & provide support on data & platform related inquiries Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole. Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. Requirements : Experience & a strong understanding of GenAI development, security & governance concepts a must 5+ years of relevant experience in Data Engineering / Data Platform Engineering /Data Architecture Expert level SQL & Python is a must. Experience in Dataiku DSS is a strong plus. Prior experience with Snowflake required Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins Strong understanding of data architecture & data modeling concepts Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment Strong analytical mindset; proactively clarifies ambiguous problems, challenges assumptions, and proposes pragmatic solutions. Works effectively with complex stakeholders, translating vague asks into clear, testable requirements. Excellent written and verbal communication with senior audiences; articulates business value, data products, and platform capabilities; produces precise, concise documentation. Demonstrated ownership in remote, fast-paced environments: manages multiple projects, adapts to different roles, mentors peers, and invests in continuous learning & knowledge-sharing. 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.

Manage the entire sales cycle for enterprise customers in Colombia, collaborating cross-functionally to promote Dataiku's AI platform and drive customer adoption. | 5-7 years software sales experience, fluent Spanish, experience selling in Colombia, consultative selling skills, ability to travel 30-50%, and knowledge of data/analytics. | Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Dataiku is looking for an experienced Enterprise Account Executive to join our team! Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position which will be focussed on selling in Colombia, but based in the US. We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku. The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. You might be a good fit if you have: 5-7 years experience in software field sales Fluent in Spanish Experience selling in Colombia Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions Background in selling innovation and new concepts to large Enterprises Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions Good articulation of competitive positioning Comfortable traveling 30 to 50% Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration 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 $135,000—$140,000 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.