Role at a glance
- Salary
- Not Disclosed
- Location
- Canada - Calgary
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 7+ years of experience consistently exceeding quotas
- Education
- Bachelor’s Degree or equivalent practical experience
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Role Summary
The Named Enterprise Account Executive owns end-to-end customer relationships for assigned enterprise accounts across Western Canada, with a focus on Energy, Mining, and Utilities. The role drives customer engagement, pipeline growth, account expansion, and complex sales execution for Databricks’ data and AI platform.
What You'll Do
- Maintain full oversight of the complete customer lifecycle and relationship ecosystem for assigned accounts
- Maximize face-to-face client time and cultivate relationships with CIOs, CDOs, and business leaders
- Drive weekly pipeline generation and accelerate use-case progression from POC to production
- Create comprehensive account plans to expand existing customer footprints
- Manage complex, multi-stakeholder sales cycles and revenue targets
- Maintain Salesforce CRM hygiene and accurately forecast use-case requirements, business value metrics, and timelines
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
7+ years of enterprise technology sales experience; proven sales experience in Western Canada’s Oil & Gas, Utilities, and Mining sectors; active local network of CIOs and decision-makers; foundational knowledge of Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, and GenAI; experience coordinating internal resources through complex sales cycles; Bachelor’s Degree or equivalent practical experience.
Required
- 7+ years of experience consistently exceeding quotas in a fast-paced, high-velocity enterprise technology environment
- Proven track record selling into Western Canada’s premier Oil & Gas, Utilities, and Mining sectors
- Active local network of CIOs and decision-makers
- Strong foundational knowledge of Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, and GenAI
- Adept at balancing quick wins with long-cycle sales motions
- Effectively coordinating internal resources, including solutions architects, executives, and partners
- Bachelor’s Degree or equivalent practical experience
Original job description
Content provided by the employer
Original job description
Content provided by the employer
SLSQ327R617
Named Enterprise Account Executive – Western Canada
At Databricks, we practice what we preach: we are a fiercely data-driven company that utilizes metrics and insights to drive every aspect of our business.
As a Named Enterprise Account Executive, you will have complete oversight of your assigned accounts, serving as the ultimate owner of end-to-end customer relationships across Western Canada. This role requires deep domain expertise in the Energy, Mining, and Utilities sectors. We hold our sales organization to an exceptionally high standard; you should expect a culture centered on rigorous execution, where customer face-time, pipeline generation, and account activity are prioritized and measured closely.
The Impact You Will Have
- End-to-End Account Ownership: Act as the strategic quarterback and single point of accountability for your accounts, maintaining full oversight of the complete customer lifecycle and relationship ecosystem.
- High-Velocity Customer Engagement: Maintain an elite cadence of customer activity. You will be expected to maximize face-to-face client time and cultivate deep, long-term relationships with CIOs, CDOs, and business leaders (Supply Chain, Finance, Field Operations etc)
- Data-Driven Execution & Pipeline Growth: Grounded in our data-driven culture, you will aggressively drive weekly pipeline generation and accelerate use-case progression from POC to production.
- Account Growth & Strategy: Architect comprehensive account plans to systematically expand existing footprints using a disciplined, program-management approach.
- Sales Excellence: Consistently exceed activity, pipeline, and revenue targets by managing complex, multi-stakeholder sales cycles.
- Operational Precision: Maintain pristine CRM hygiene in Salesforce on a weekly basis, accurately forecasting and tracking use-case requirements, business value metrics, and timelines.
What We Look For
- High-Intensity Enterprise Sales: 7+ years of experience consistently exceeding quotas in a fast-paced, high-velocity enterprise technology environment. You thrive in cultures that demand high activity, strict accountability, and frequent change.
- Domain Expertise: Proven track record selling into Western Canada’s premier Oil & Gas, Utilities, and Mining sectors, backed by an active local network of CIOs and decision-makers.
- Technical Acumen: Strong foundational knowledge of data solutions, including Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, & GenAI.
- Complex Deal Management: Adept at balancing quick wins with long-cycle sales motions while effectively coordinating internal resources (solutions architects, executives, and partners).
- Education: Bachelor’s Degree or equivalent practical experience.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.