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Enterprise Account Executive – Mid Atlantic

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1Application actions
23 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Dataiku is hiring an individual-contributor Enterprise Account Executive to own the full sales cycle across a Mid-Atlantic enterprise territory. The role focuses on consultative sales of an AI, analytics, and data platform to large enterprises, including building executive alignment and internal champions. The successful candidate brings 5–7 years of software field-sales experience, strong competitive positioning, and familiarity with data, analytics, BI/DW, or data integration. This remote US role requires substantial travel, estimated at 30–50%, and close collaboration with marketing, product management, and sales engineering.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightSelling enterprise AI and analytics technology requires credibility with multiple technical and business stakeholders, long-cycle deal management, and effective competitive differentiation. The account executive independently owns a territory while coordinating cross-functional resources and traveling frequently.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$145,000
US market range$130k–$180k
AI insightThe disclosed US national base-pay range is $140,000–$150,000 USD yearly, with a midpoint of $145,000. This base salary is competitive for a mid-market-to-enterprise software account executive; actual total earnings may be higher because the posting notes eligibility for commission or other variable compensation, but no OTE range is disclosed. The estimated US market base-salary range for comparable enterprise software sales roles is $130,000–$180,000 yearly.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you create a vision match for an enterprise prospect evaluating an AI or analytics platform?

I begin with discovery across business, data, IT, and governance stakeholders to understand desired outcomes, current constraints, and the cost of inaction. I then connect those priorities to a tailored future-state narrative, supported by relevant use cases, measurable success criteria, and a practical adoption path.

Describe how you manage a complex enterprise sales cycle with multiple decision-makers.

I map stakeholders early, identify economic buyers, technical evaluators, champions, and potential blockers, and maintain a mutual action plan with clear milestones. I regularly validate decision criteria, procurement requirements, and executive priorities so risks are surfaced before they delay the deal.

How would you position Dataiku against a point solution or a customer's existing data and AI tooling?

I would first acknowledge the value of the existing ecosystem and understand where fragmentation or governance gaps exist. I would position Dataiku as an enterprise orchestration layer that helps teams design, deploy, and govern analytics, machine learning, and AI across multi-vendor environments, emphasizing business outcomes rather than feature comparisons alone.

What is your approach to selling an innovative technology category to a skeptical enterprise buyer?

I reduce perceived risk by grounding the conversation in a high-priority business problem, credible customer examples, and a clearly scoped evaluation plan. I involve the right technical experts, define success metrics in advance, and ensure the buyer can see both near-term value and an extensible long-term strategy.

How do you balance independent territory ownership with cross-functional collaboration?

I remain accountable for account strategy, pipeline progression, and customer communication while engaging marketing, sales engineering, and product partners at points where they add the most value. I provide concise context, clear objectives, and follow-up actions so internal teams can contribute effectively without creating confusion for the customer.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack – empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Dataiku is looking for an experienced Enterprise Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

As an Enterprise Account Executive at Dataiku, you’ll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you’ll showcase the business value of Dataiku’s platform, DSS.

What you’ll need to be successful –

  • 5-7 years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large 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
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience is a plus!

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

$140,000—$150,000 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: reasonable-accommodations@dataiku.com


Protect yourself from fraudulent recruitment activity

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 here.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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