Senior Sales Engineer, LATAM

Dataiku

93d • $150,000 - $190,000

About The Position

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. If you're 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. 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 Dataiku's most important sales with LATAM companies whose names you hear and products you use every day. 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. 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.

Requirements

• Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems within LATAM and/or LATAM markets.
• At least 10 years experience in technical pre-sales, preferably in a high-growth environment.
• A proven track record of navigating complex consulting organizations, including experience collaborating with executive relationships.
• Experience in the data science, analytics, or big data markets is preferred but not required.
• Comfortability talking to all levels of customer teams from individual contributors to C-level executives.
• Deep experience working with at least one of the major cloud providers (AWS, GCP, Azure).
• Knowledge of machine learning libraries and techniques.
• Fluency in English and Spanish is required; Portuguese fluency is also preferred.

Responsibilities

• 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.
• Qualify deals through collaboration with the sales team and partner team.
• Conduct discovery meetings and learn from the customer about their business requirements and technical environment.
• Partner with the Opportunity Team to communicate business value to prospective customers.
• 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.
• Facilitate continuous partner enablement through sales and product content creation and delivery.
• 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.
• Automate and streamline the partner on-boarding process from a technical standpoint.
• Act as an evangelist to carry our mission to the market and partner ecosystems.

Benefits

• Stock options
• Medical, dental, and vision plans
• Flexible spending accounts
• Pre-tax commuter benefits
• 401k company match
• Paid vacations and sick leave
• Paid parental leave
• Employer paid disability coverage
• Additional health and wellbeing perks and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees