Emerging Enterprise Account Executive, Dataiku
$100-105k
+ Stock Options
1-5 days a week in office
Collaborative data science platform
Open for applications
Collaborative data science platform
1001+ employees
Open for applications
$100-105k
+ Stock Options
1-5 days a week in office
1001+ employees
Company mission
Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future.
Role
Who you are
- 3-5 years’ experience in software field sales, or other relevant sales experience
- Background in selling innovation and new concepts to emerging 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
- Domain expertise in big data, analytics, data science, BI/DW, data integration preferred
- Possesses advanced interpersonal communication skills
- Is adaptable with a growth mindset
What the job involves
- The Emerging Enterprise 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
- The EE Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering
- Educating customers on the value of Dataiku in a thoughtful way
- Driving revenue through proactive outreach to existing customers
- Providing recommendations based on a customer’s business needs and usage patterns
- Managing multiple customers simultaneously at various stages of the Dataiku buying cycle
- Handling inbound customer communication and organizing/escalating issues appropriately, including: billing, legal, security, and technical inquiries
- Serving as the voice of the customer and collecting feedback to drive continuous improvement across all areas including product
- Other duties as assigned from time to time
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
Lyanna, Data Scientist
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.1m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Salary benchmarks
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Diversity, Equity & Inclusion at Dataiku
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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