---
title: 'Emerging Enterprise Core Account Executive at Databricks'
canonical: 'https://feeny.ai/job/emerging-enterprise-core-account-executive-databricks-calgary-m6wgeemy7c17'
type: 'job'
last_seen: '2026-11-07'
---

# Emerging Enterprise Core Account Executive at Databricks

- **Company:** Databricks
- **Location:** Calgary, Canada / Montréal, Canada / Toronto, Canada
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-07
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8906591002

## Job description

Emerging Business, Canada | Toronto, ON (Calgary, Vancouver and Montreal considered)

## About the role

As an Emerging Enterprise Account Executive at Databricks, you'll own a book of 10 to 20 mid-sized Canadian companies that are already building on Databricks. These are enterprises and growth companies that are modernizing their data platforms and putting AI from POC to Production.

You'll run the full sales cycle yourself, from discovery through close, with a dedicated Solutions Architect as your technical partner. You're expected to talk to a data engineering lead in the morning and a VP of Finance in the afternoon, and be credible in both conversations. This is a consumption-based role. Signing the contract is only part of the job. You're measured on whether customers actually use what they buy.

You'll report to the Sales Director, Emerging Business Canada, and work alongside Startup and Geo AEs on a team that covers everything from Series A startups to established Canadian enterprises.

The impact you will have

- Build a territory and account plan within your first 30 days that ranks your accounts by consumption potential and names your top use case targets.
- Grow consumption across your book by finding new workloads and teams, then partnering with your SA to move use cases from scoping to production.
- Close commit deals on your own, from first-time Jumpstart commits to multi-year agreements, and bring in your manager and deal desk on the more complex ones.
- Build net new pipeline every quarter through prospecting and account development.
- Build Business Value Assessments and ROI cases that tie Databricks to outcomes your buyer's CFO and Line of Business leaders cares about.
- Own customer relationships up to the C level, and go beyond the technical buyer into lines of business.
- Lead customer use case delivery with Professional Services and partners (GSIs, AWS, Azure, GCP) to keep implementations on schedule.
- Forecast accurately. Keep Salesforce, use case stages, and MEDDPICC current so your forecast holds up on a call.
- Use AI tools every day for account research, call prep, outreach, and pipeline management, so you can spend more time with customers.

## What we look for

- 3+ years of full-cycle, quota-carrying B2B sales experience, ideally in data, cloud, AI, or SaaS infrastructure
- A track record of meeting or beating quota, with deals you can walk through in detail: who the buyer was, what you found in discovery, how you structured it, and why it closed
- Experience growing existing accounts and landing new business in the same territory
- Comfort with consumption or usage-based models, or a clear understanding of how they differ from seat-based licensing
- Enough technical depth to run a standard product demo, sketch a basic cloud data architecture, and know when to bring in your SA
- Experience selling to business stakeholders and executives, not only technical teams
- Hands-on use of AI tools in your current sales process. We'll ask you to show us how you use them.
- Experience working with partners such as cloud providers, GSIs, or ISVs as part of how you run deals
- Resilience, curiosity, and coachability. You take feedback, change your approach, and keep going when a deal stalls.
- Familiarity with MEDDPICC or a similar qualification framework

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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