Posted 3 months ago
Startup Hunter Account Executive
@ Databricks
Ontario
Overview
Databricks is hiring a Startup Account Executive to sell its Data + AI platform to fast-growing startups. The role closes new accounts while expanding existing ones, with a territory plan due within 30 days and accelerators for quota above 100%. The posting asks for at least one year of closing sales experience and reports to a regional sales manager.
Responsibilities:
- Build territory plan with account prioritization within 30 days
- Align customers with the Lakehouse vision and ecosystem
- Manage deals from fast transactions to large strategic sales
- Prospect and meet activity, pipeline and revenue targets
- Maintain Salesforce and Clari records and forecasts
Requirements summary:
- 1+ years of closing sales experience
- Prior big data, cloud or SaaS sales experience
- Quickly learn new technologies and value propositions
- Track record of exceeding sales KPIs and quotas
- Success closing new accounts while working existing accounts
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-07-28
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Sales |
| Experience | 1+ years |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Databricks
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- LinkedIn followers
- 975,210
- People associated on LinkedIn
- 11,901
- Reported office locations
- 160 Spear Street, 13th Floor, San Francisco, CA 94105, US
- Fora 22 Berners Street, London, England W1T 3LP, GB
- Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL
- 11 W 42nd St, 30th Floor, New York, NY 10036, US
- 120 Adelaide St W, Toronto, Ontario M5H, CA
- 109 North Bridge Road, Singapore, 179097, SG
- 2033 6th Ave, Suite 600, Seattle, WA 98121, US
- 100 W Evelyn Ave, Suite 210, Mountain View, California 94041, US
- 1660 International Drive, Suite 600, McLean, VA 22102, US
- 7300 Lone Star Dr, Plano, Texas 75024, US
- 500 108th Ave NE, Suite 1100, Bellevue, Washington 98004, US
- 1 Lincoln Street, Office 26-115, Boston, MA 02111, US
- 2120 University Ave, Suite 722, Berkeley, California 94704, US
- Techspace Köpenicker, Straße 40-41, Berlin, Germany 10179, DE
- Herzogspitalstraße 24, Munich, Bavaria 80331, DE
- 35-37, Rue Beaubourg, Paris, Île-de-France 75003, FR
- 1 Chome-4-5 Roppongi, Minato City, Tokyo 106-0032, JP
- 66 King Street, Sydney, NSW 2000, AU
- 222 Exhibition St, Melbourne, Victoria 3000, AU
- No. 78/9, Outer Ring Rd, Bengaluru, Karnataka 560103, IN
- Business categories
- Data Storage
- Information Technology
- Data Integration
- Artificial Intelligence
- Software
- Data Management
- Venture Capital
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Databricks
- Specialties
- Apache Spark
- Apache Spark Training
- Cloud Computing
- Big Data
- Data Science
- Delta Lake
- Data Lakehouse
- MLflow
- Machine Learning
- Data Engineering
- Data Warehousing
- Data Streaming
- Open Source
- Generative AI
- Artificial Intelligence
- Data Intelligence
- Data Management
- Data Goverance
- Generative AI
- and AI/ML Ops
- Profile identifies a recruitment agency
- No
- Reported total investment
- 27,246,939,324
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 5,001-10,000 employees |
| Headquarters | San Francisco, CA |
| Organization type | Privately Held |
| Specialties | Apache SparkApache Spark TrainingCloud ComputingBig DataData ScienceDelta LakeData LakehouseMLflowMachine LearningData Engineering |
| Open jobs on Jobsy | 28 |
| View page |
SLSQ427R348
As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. 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 partners. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.
The impact you will have:
- Build a territory plan by 30 days with a clear account prioritization strategy.
- Align both new and existing customers with the Lakehouse vision and ecosystem.
- Be able to range from faster transactions to large strategic deals.
- Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role.
- Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
- Lead with a customer first mindset and focus on business value
What we look for:
- 1+ years of closing sales experience
- Prior experience in big data, Cloud, or SaaS sales
- Be able to quickly learn new technologies and value proposition
- Experience exceeding sales KPIs and quotas
- Success closing new accounts while working existing accounts
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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