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Datatonic

Enterprise cloud data and AI consulting

Head of Sales

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience leading a sales team at a technology consultancy or professional services firm in the Data, AI, or Cloud space.
  • Experience selling to enterprise accounts across the United States and Canada, including Fortune 500 companies or large Canadian enterprises.
  • A strong network across Google Cloud's North America sales organization and a track record of co-selling with Google Cloud.
  • Experience closing and coaching others to close multi-year transformation deals of $1 million or more.
  • Commercial acumen, including the ability to discuss return on investment, earnings before interest, taxes, depreciation and amortization, and capital expenditures versus operating expenses, and translate Google Cloud Platform capabilities into financial outcomes.
  • Experience leading forecasting, maintaining Salesforce data hygiene, and account planning.
  • Ability to work effectively in a fast-growing environment and build processes.

Responsibilities

  • Set the go-to-market playbook for core verticals including Gaming, Media, Entertainment and Agency, Telecommunications, and Insurance; prioritize accounts and balance account expansion with new-logo acquisition.
  • Drive direct market activity alongside Google-sourced leads, working with marketing on events, campaigns, and executive outreach.
  • Shape a balanced mix of land-and-expand work and large, multi-year transformations, maintaining sufficient pipeline coverage to meet targets.
  • Own and exceed regional bookings and sold gross margin targets.
  • Grow existing accounts through account plans and open new logos in priority verticals.
  • Build co-selling relationships with Google Cloud's North America sales leaders and plan joint account strategies.
  • Join discovery calls, qualify opportunities, review proposals, and run pre-flight checks on major bids of $750,000 or more.
  • Train sellers in consultative selling to challenge client assumptions and identify larger transformation opportunities.
  • Embed account planning so each seller owns their account portfolio.
  • Run weekly and monthly forecasting and pipeline reviews, maintain clean Salesforce data, and provide accurate forecasts to leadership.
  • Sell on enterprise return on investment rather than discounting, balancing competitive pricing with the value of the company's expertise.
  • Coordinate with presales, delivery, and account management teams in Toronto and Montreal to ensure sold work can be delivered to standards.
  • Make effective use of vertical- and offering-aligned technical squads in presales and deal shaping.
  • Partner with alliances and marketing to turn the Google relationship and case studies into pipeline.
  • Assess, structure, and develop the current sales team; recruit, onboard, and retain sellers as the North American business grows.
  • Foster resilience, healthy competition, and continuous learning.
  • Work with delivery and technical leaders as part of the regional leadership team to run the region and achieve its goals.

Desired Qualifications

  • Experience selling in one or more of Gaming, Media, Telecommunications, or Insurance.

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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