Full-Time

Senior Sales Engineer

Posted on 5/5/2024

Dataiku

1,001-5,000 employees

AI development and management platform

Data & Analytics

AI & Machine Learning

Compensation Overview

$150,000 - $190,000Annually

+ Commission + Stock Options

Senior, Expert

Dallas, TX, USA

Required Skills

Sales

Marketing

Data Analysis

Requirements

Strong natural and intellectual curiosity
Experience in technical pre-sales
Familiarity with data storage and computing infrastructure
Comfortability talking to all levels of customer teams
Experience in Analytics/AI or other enterprise software
Previously worked in a fast paced, growing company

Responsibilities

Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management
Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment
Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer
Use Dataiku to demonstrate the business value articulated in the usage scenarios
Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value
Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer; lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors
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, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management

At Dataiku, we’re not just adapting to the AI revolution, we’re leading it. Since our beginning in Paris in 2013, we’ve been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we’re the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

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

How you’ll make an impact

Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management
Conduct Discovery meetings and learn from the customer and the BDR about the customer’s business requirements and technical environment
Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer
Use Dataiku to demonstrate the business value articulated in the usage scenarios
Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value
Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer; lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors
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, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management

What you’ll need to be successful

Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems
Experience in technical pre-sales, preferably in a high-growth environment
Experience in the data science, analytics, or big data markets preferred but not required
Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
Comfortability talking to all levels of customer teams from individual contributors to C-level executives
Experience in Analytics/AI or other enterprise software
Previously worked in a fast paced, growing company

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

$150,000—$190,000 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: [email protected]

Dataiku

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Website

View Company Profile

Dataiku specializes in AI and data science solutions, offering a comprehensive platform that streamlines the development and management of AI applications. This includes capabilities in data preparation, visualization, machine learning, DataOps, MLOps, and analytics apps. The company stands out in the tech industry by providing tools that serve both technical experts and business professionals, enabling wide accessibility and application across various sectors like fraud detection and supply chain optimization. Working here means contributing to an environment where technical prowess meets practical business applications, creating a unique space for professional growth and industry impact.

Company Stage

Series F

Total Funding

$1.2B

Headquarters

New York, New York

Founded

2013

Growth & Insights

Headcount

6 month growth

↓ -1%

1 year growth

↓ -4%

2 year growth

↑ 20%

Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events