Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1000 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI. 

If you're ready to take your pre-sales career to the next level, the Dataiku US 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.

For Colorado-based roles: This position has an estimated minimum annual salary of $155,000, plus opportunities for equity. Dataiku offers additional incentives for eligible roles which may or may not include discretionary cash compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits including medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. The actual offer, reflecting the total compensation package and benefits for the position, will be at Dataiku's sole discretion, and determined by a myriad of factors including, but not limited to, the qualifications of the candidate and other relevant business considerations. Dataiku also reserves the right to amend or modify employee perks and benefits at any time.

In this role, you'll help the team:

• Drive sales of Dataiku by taking primary ownership of the technical relationship with our prospects to drive customer satisfaction by proactively managing and delivering technical information to our customers both onsite and remotely
• Be the expert that articulates Dataiku’s capabilities in the context of customer needs
• Qualify revenue opportunities through collaboration with the Account Executive (AE), the Sales Development Representative (SDR), and Sales management
• Drive engagements with prospective customers by becoming a trusted technical advisor and owning the customer’s success during the presales period
• Understand and uncover customer business/technical challenges and existing technology stack through discovery meetings
• Communicate Dataiku technical differentiation, integration points with existing customer technical ecosystem/workflows, and the technical value proposition
• Define usage scenarios that illustrate Dataiku’s value within the customer’s specific business cases, and articulate them to internal and external audiences
• Conduct and coordinate Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly demonstrate the business value articulated in the usage scenarios to prove that Dataiku delivers the needed value and ROI better than our competitors
• Coordinate company-wide resources to drive technical engagements forward and provide answers/guidance to customer’s questions
• Be the voice of the customer internally
• Collaborate cross-functionally with Product, Engineering, Marketing, and Customer Success to communicate prospective customer priorities
• Influence roadmap and GTM decisions, infusing prospective customer priorities into every decision we make
• Support and strategize with partner networks to expand Dataiku support within customers
• Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing / partners on webinars, events, and other activities specified by sales and sales engineering management
• Evangelize Dataiku and our vision. Become a recognized voice of the company and thought leader in the industry (spokesperson at events, meetups, active in communities/blogging)

You may be a good fit for the team if you have:

• Strong natural and intellectual curiosity, especially around being able to map business problems to systems that leverage machine learning 
• Proficiency in programming languages (Python, R, SQL, Java, etc..) 
• Adherence to version control (Git)
• Proven record of projects in data science/machine learning using various algorithms (supervised, semi-supervised, unsupervised, classical, and deep learning approaches)
• Experience with cloud data storage and services (AWS, Azure, GCP) 
• Understanding of the machine learning lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations 
• Hands on experience with computational resources and frameworks (containerization, Kubernetes, Spark) 
• Knowledge of Kubeflow, Airflow, or other orchestration tools
• Experience in technical pre-sales or consulting in a fast paced environment preferred but not required
• Excellent communication and presentation skills, and comfortable talking to all levels of customer teams, from individual contributors to C-level executives

#LI-Remote

About Dataiku:

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

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: [email protected]