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Datatonic

Enterprise cloud data and AI consulting

Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeMontreal, QC, CanadaNo salary listed

About the Job

Requirements

  • At least 5 years of enterprise information technology sales or consulting experience in a fast-paced, client-facing, results-oriented environment.
  • A clear understanding of how organizations make decisions related to data, analytics, and artificial intelligence, how to influence them, and a proven record of helping a business deliver significant growth.
  • Ability to act as a thought leader and thought partner to clients, discussing current trends in data, analytics, and artificial intelligence.
  • Ability to communicate with and influence stakeholders across functions, especially technology, engineering, data science, sales, marketing, and finance.
  • Ability to lead and motivate others.
  • A consultative, listen-first approach, understanding what motivates people and tailoring messaging accordingly.

Responsibilities

  • Balance the growth of new business opportunities with the expansion and development of existing accounts.
  • Own a significant part of sales strategy and its execution in coordination with Delivery and Technology departments.
  • Contribute directly to revenue growth, build strong sales processes, oversee pipelines from qualification to close, and manage day-to-day sales operations.
  • Take proactive leadership of the territory by understanding the market and developing and executing an appropriate strategy.
  • Work with colleagues to identify opportunities for renewals and upsells with existing clients.
  • Maintain the customer relationship management and sales tools with up-to-date information.
  • Work with the team to create sales collateral.
  • Manage simultaneous projects with minimal supervision.

About the Company

Datatonic

Enterprise cloud data and AI consulting

Datatonic is a specialised data analytics and AI consultancy focused on helping enterprise clients harness data on Google Cloud. It builds and manages data platforms, migrates legacy systems to the cloud, and develops MLOps pipelines and Generative AI applications to improve decision-making and operational efficiency. The firm differentiates itself through deep Google Cloud expertise (a 10-time Google Cloud Partner of the Year), end-to-end services (cloud architecture, data analytics, AI/ML, and training), and a strategic growth path that includes acquisitions (Montreal Analytics, Syntio) to expand data engineering and North American presence. Its goal is to enable enterprises across sectors to unlock the value of their data, deploy AI solutions quickly, and continuously improve performance through analytics and AI capabilities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2013

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