<div><p>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.</p></div><p>If youre ready to take your pre-sales career to the next level, the Sales Engineering team at Dataiku wants to hear from you. Together, we’re building a team to continue scaling our presence in Latin America (LATAM) both through direct sales and also with our broader partner community. </p> <p>As a Sales Engineer at Dataiku, you’ll leverage your technical expertise and communication skills to help prospective customers solve business challenges. You’ll join a collaborative, customer-focused team that has contributed to some of Dataikus most important sales with LATAM companies whose names you hear and products you use everyday. </p> <p>To best serve the needs of our LATAM customers, you’ll also engage with our ecosystem of partners - system integrators, consultants, value-added resellers, and complementary technology partners - at the executive business and field level. You’ll apply your business acumen and technical expertise to collaborate with partners and enable the adoption and promotion of Dataiku. </p> <p>Our team strives to best serve our customers and ensure their success and deliver value. If you want to help us evangelize Dataiku’s vision, we invite you to apply to this customer-facing and partner-facing role.</p> <p><strong>How you’ll make an impact</strong></p> <ul> <li>Work alongside a talented team of passionate sales and sales engineering professionals to grow and scale Dataiku’s presence in LATAM, including developing demonstrations, trainings, and enabling partners prior to service delivery (addressing ad hoc queries and providing support during office hours). This includes  those with machine learning specialization. </li> <li>Qualify deals through collaboration with the sales team and partner team</li> <li>Conduct discovery meetings and learn from the customer about their business requirements and technical environment</li> <li>Partner with the Opportunity Team to communicate business value to prospective customers</li> <li>Design and create Dataiku DSS additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku DSS to deliver customer value</li> <li>Facilitate continuous partner enablement through sales and product content creation and delivery, including surfacing use cases relevant to building Data science projects or MLOps pipelines</li> <li>Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions</li> <li>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</li> <li>Automate and streamline the partner on-boarding process from a technical standpoint - DSS and data science training, data science enablement and support</li> <li>Act as an evangelist to carry our mission to the market and partner ecosystems </li> </ul> <p><strong>What you’ll need to be successful</strong></p> <ul> <li>Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems within LATAM and/or LATAM markets</li> <li>At least 10 years experience in technical pre-sales, preferably in a high-growth environment</li> <li>A proven track record of navigating complex consulting organizations, including experience collaborating with executive relationships</li> <li>Experience in the data science, analytics, or big data markets is preferred but not required</li> <li>Comfortability talking to all levels of customer teams from individual contributors to C-level executives</li> <li>Deep experience working with at least one of the major cloud providers (AWS, GCP, Azure)</li> <li>Knowledge of machine learning libraries and techniques</li> <li>Fluency in English and Spanish is required; Portuguese fluency is also preferred </li> </ul><div><div><div><strong>Compensation and Benefits</strong><br /> <p><span>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 Dataikus incentive compensation program. </span></p> <p><span>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.</span></p></div><div>US only national base pay ranges</div><div><span>$150,000</span><span>—</span><span>$190,000 USD</span></div></div></div><div><div> </div> <div><strong>What are you waiting for!</strong></div> <div>At Dataiku, youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we cant wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our <a href="https://www.linkedin.com/company/dataiku/">Dataiku LinkedIn page</a>.</div> <div> </div> <div><em>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: </em><a href="http://reasonable-accommodations@dataiku.com/">reasonable-accommodations@dataiku.com</a></div> <div> </div> <div><hr /></div> <div> <div> </div> <div><strong>Protect yourself from fraudulent recruitment activity</strong></div> <div><em>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 <a href="https://www.dataiku.com/legal/dataiku-recruitment-scams/" target="_blank">here.</a></em></div> </div></div>