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Geo Hunter Account Executive

🔥 Posted 2 months ago
Montréal, Canada On-site Full-time North America
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About this role

One of 11 similar roles databricks has open at once, suggesting a team build-out rather than a single backfill.

AI Replacement Risk

MEDIUM

Full job description

Sourced directly from databricks's original listing.

SLSQ327R734

As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quickly, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark™
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • 5+ years of experience exceeding sales quotas
  • Must speak fluent French
  • You have previously worked in an early-stage company, and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • Hunter (Net-New Logo) Experience
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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AI Replacement Risk, explained

We rate every role on how much of the day-to-day work could plausibly be done by current AI tools within the next year or two. It's a judgment call, not a hard science, based on three questions:

Task repeatability — is the work mostly repeatable execution (drafting, formatting, routine audits), or judgment-heavy (strategy, negotiation, prioritization)?
Precedent — are AI tools already doing a meaningful chunk of this work well today, in production, somewhere?
Accountability — does the role carry a decision or relationship someone has to own, not just an output that has to exist?

LOW

Mostly judgment, negotiation, or ownership work. AI assists, it doesn't replace.

MED

A real mix of judgment and repeatable execution. Expect the repeatable half to keep shrinking.

HIGH

Mostly production or output work, with real AI precedent already in the wild.

This is our own read, not a scientific index. Treat it as a conversation starter before you apply, not a scorecard.