Dataiku

Enterprise Account Executive (Non-Named) - India

India

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries

Requirements

The Enterprise Account Executive should possess at least 3-5 years of experience in software sales, demonstrating a proven track record of success in a hunter sales role, specifically landing new logos within enterprise markets. They must be skilled in conducting engaging online presentations and product demos, and have experience collaborating with channel resellers to extend market reach and accelerate sales cycles. Strong interpersonal and negotiation skills are also required, along with a passion for closing deals in competitive environments.

Responsibilities

This role involves identifying and engaging non-named enterprise accounts with significant revenue and employee counts, delivering compelling first-meeting presentations and online product demos to accelerate deal cycles, focusing on efficient deal execution to meet aggressive targets, leveraging relationships with channel resellers, working closely with marketing on targeted campaigns and lead-generation strategies, and driving measurable success by securing net new customer accounts (lands) measured by logo count, not booking value. The Enterprise Account Executive will also work cross functionally with Marketing, Product Management and Engineering.

Skills

Software Sales
Account Management
Prospect Engagement
Demo Presentation
Demand Generation
Channel Partner Collaboration

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

Key Metrics

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

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

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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